Accounting Information, Disclosure, and the Cost of Capital

Size: px
Start display at page:

Download "Accounting Information, Disclosure, and the Cost of Capital"

Transcription

1 Unversty of Pennsylvana ScholarlyCommons Accountng Papers Wharton Faculty Research Accountng Informaton, Dsclosure, and the Cost of Captal Rchard A. Lambert Unversty of Pennsylvana Chrstan Leuz Robert E. Verreccha Unversty of Pennsylvana Follow ths and addtonal works at: Part of the Accountng Commons Recommended Ctaton Lambert, R. A., Leuz, C., & Verreccha, R. E. (2007). Accountng Informaton, Dsclosure, and the Cost of Captal. Journal of Accountng Research, 45 (2), Ths paper s posted at ScholarlyCommons. For more nformaton, please contact repostory@pobox.upenn.edu.

2 Accountng Informaton, Dsclosure, and the Cost of Captal Abstract In ths paper we examne whether and how accountng nformaton about a frm manfests n ts cost of captal, despte the forces of dversfcaton. We buld a model that s consstent wth the Captal Asset Prcng Model and explctly allows for multple securtes whose cash flows are correlated. We demonstrate that the qualty of accountng nformaton can nfluence the cost of captal, both drectly and ndrectly. The drect effect occurs because hgher qualty dsclosures affect the frm's assessed covarances wth other frms' cash flows, whch s nondversfable. The ndrect effect occurs because hgher qualty dsclosures affect a frm's real decsons, whch lkely changes the frm's rato of the expected future cash flows to the covarance of these cash flows wth the sum of all the cash flows n the market. We show that ths effect can go n ether drecton, but also derve condtons under whch an ncrease n nformaton qualty leads to an unambguous declne n the cost of captal. Keywords cost of captal, dsclosure, nformaton rsk, asset prcng Dscplnes Accountng Ths ournal artcle s avalable at ScholarlyCommons:

3 Accountng Informaton, Dsclosure, and the Cost of Captal Rchard Lambert* The Wharton School Unversty of Pennsylvana Chrstan Leuz The Wharton School Unversty of Pennsylvana Robert E. Verreccha The Wharton School Unversty of Pennsylvana September 2005 Revsed, March 2006 Abstract In ths paper we examne whether and how accountng nformaton about a frm manfests n ts cost of captal, despte the forces of dversfcaton. We buld a model that s consstent wth the CAPM and explctly allows for multple securtes whose cash flows are correlated. We demonstrate that the qualty of accountng nformaton can nfluence the cost of captal, both drectly and ndrectly. The drect effect occurs because hgher qualty dsclosures reduce the frm s assessed covarances wth other frms cash flows, whch s non-dversfable. The ndrect effect occurs because hgher qualty dsclosures affect a frm s real decsons, whch lkely changes the frm s rato of the expected future cash flows to the covarance of these cash flows wth the sum of all the cash flows n the market. We show that ths effect can go n ether drecton, but also derve condtons under whch an ncrease n nformaton qualty leads to an unambguous declne the cost of captal. JEL classfcaton: Key Words: G12, G14, G31, M41 Cost of captal, Dsclosure, Informaton rsk, Asset prcng *Correspondng Author. We thank the semnar partcpants at Oho State Unversty and an anonymous referee for ther helpful comments.

4 1. Introducton The lnk between accountng nformaton and the cost of captal of frms s one of the most fundamental ssues n accountng. Standard setters frequently refer to t. For example, Arthur Levtt (1998), the former charman of the Securtes and Exchange Commsson, suggests that hgh qualty accountng standards [ ] reduce captal costs. Smlarly, Neel Foster (2003), a former member of the Fnancal Accountng Standards Board (FASB) clams that More nformaton always equates to less uncertanty, and [ ] people pay more for certanty. In the context of fnancal nformaton, the end result s that better dsclosure results n a lower cost of captal. Whle these clams have ntutve appeal, there s surprsngly lttle theoretcal work on the hypotheszed lnk. In partcular, t s unclear to what extent accountng nformaton or frm dsclosures reduce non-dversfable rsks n economes wth multple securtes. Asset prcng models, such as the Captal Asset Prcng Model (CAPM), and portfolo theory emphasze the mportance of dstngushng between rsks that are dversfable and those that are not. Thus, the challenge for accountng researchers s to demonstrate whether and how frms accountng nformaton manfests n ther cost of captal, despte the forces of dversfcaton. Ths paper explores both of these questons. We defne the cost of captal as the expected return on a frm s stock. Ths defnton s consstent wth standard asset prcng models n fnance (e.g., Fama and Mller, 1972, p. 303), as well as numerous studes n accountng that use dscounted cash flow or abnormal earnngs models to nfer frms cost of captal (e.g., Botosan, 1997; Gebhardt et al., 2001). 1 In our model, we explctly allow for multple frms whose cash flows are correlated. In contrast, most analytcal models n accountng examne the role of 1 We also dscuss the mpact of nformaton on prce, as the latter s sometmes used as a measure of cost of captal. See, e.g., Easley and O Hara (2004) and Hughes et al. (2005).

5 nformaton n sngle-frm settngs (see Verreccha, 2001, for a survey). Whle ths lterature yelds many useful nsghts, ts applcablty to cost of captal ssues s lmted. In sngle-frm settngs, frm-specfc varance s prced because there are no alternatve securtes that allow nvestors to dversfy dosyncratc rsks. We begn wth a model of a mult-securty economy that s consstent wth the CAPM. We then recast the CAPM, whch s expressed n terms of returns, nto a more easly nterpreted formulaton that s expressed n terms of the expected values and covarances of future cash flows. We show that the rato of the expected future cash flow to the covarance of the frm s cash flow wth the sum of all cash flows n the market s a key determnant of the cost of captal. We demonstrate that accountng nformaton nfluences a frm s cost of captal n two ways: 1) drect effects where hgher qualty accountng nformaton does not affect cash flows per se, but affects the market partcpants assessments of the dstrbuton of future cash flows; and 2) ndrect effects where hgher qualty accountng nformaton affects a frm s real decsons, whch nfluences ts expected value and covarances of frm cash flows. In the frst category, we show (not surprsngly) that hgher qualty nformaton reduces the assessed varance of a frm s cash flows. Analogous to the sprt of the CAPM, however, we show ths effect s dversfable n a large economy. We dscuss what the concept of dversfcaton means, and show that an economcally sensble defnton requres more than smply examnng what happens when the number of securtes n the economy becomes large. More surprsngly, we demonstrate that an ncrease n the qualty of a frm s dsclosure about ts own future cash flows has a drect effect on the assessed covarances wth other frms cash flows. Ths result bulds on and extends the work on estmaton rsk n fnance. 2 In ths lterature, nformaton sgnals are typcally modeled as arsng from a hstorcal tme-seres of 2 See Brown (1979), Barry and Brown (1984 and 1985), Coles and Loewensten (1988), and Coles et al. (1995). 2

6 return observatons. In partcular, Barry and Brown (1985) and Coles et al. (1995) compare two nformaton envronments: n one envronment the same amount of nformaton (e.g., the same hstorcal tme-seres) s avalable for all frms n the economy, whereas n the other nformaton envronment there are more observatons for one group of frms than another. They fnd that the betas of the hgh nformaton securtes are lower than they would be n the equal nformaton case. They cannot unambguously sgn, however, the dfference n betas for the low nformaton securtes n the unequal- versus equal-nformaton envronments. Moreover, these studes do not address the queston of how an ndvdual frm s dsclosures can nfluence ts cost of captal wthn an unequal nformaton envronment. Rather than restrctng attenton to sgnals that are hstorcal observatons of returns, our paper uses a more conventonal nformaton-economcs approach n whch nformaton sgnals are related to realzed or future cash flows. Wth ths approach, we allow for more general changes n the nformaton envronment, and we are able to prove much stronger results. In partcular, we show that hgher qualty accountng nformaton and dsclosures affect the assessed covarances wth other frms, and ths effect unambguously moves a frm s cost of captal closer to the rsk-free rate. Moreover, ths effect s not dversfable because t s present for each of the frm s covarance terms and hence does not dsappear n large economes. Next, we dscuss the effects of dsclosure regulaton on the cost of captal of frms. Usng our framework, t s straghtforward to show that ncreasng the qualty of mandated dsclosures also reduces the cost of captal for frms. In addton to the effect of an ndvdual frm s dsclosures, there s an externalty from the dsclosures of other frms. We also argue that the magntude of the effect of mandated dsclosure on cost of captal wll be unequal across frms. Moreover, the reducton n the assessed covarances between frms and the market wll not 3

7 always result n a decrease n the beta coeffcent of each frm. After all, regardless of the structure of nformaton n the economy, the average beta across frms has to be 1.0. Therefore, even though frms cost of captal wll declne through mproved mandated dsclosure, ther beta coeffcents need not. In the ndrect effect category, we show that the qualty of accountng nformaton nfluences a frm s cost of captal through ts effect on a frm s real decsons. Frst, we demonstrate that f better nformaton reduces the amount of frm cash flows that managers approprate for themselves, the mprovements n dsclosure not only ncrease prce, but n general also reduce frms cost of captal. Second, we allow nformaton qualty to change a frm s real decsons, e.g., wth respect to producton or nvestment. In ths case, nformaton qualty changes the rato of expected cash flow to non-dversfable covarance rsk and hence nfluences a frm s cost of captal. We derve condtons under whch an ncrease n nformaton qualty results n an unambguous decrease n a frm s cost of captal. Our paper makes several contrbutons. Frst, we extend and generalze pror work on estmaton rsk. We show that nformaton qualty drectly nfluences frms cost of captal and that mprovements n nformaton qualty unambguously reduce non-dversfable rsks. Ths fndng s mportant as t suggests that a frm s beta factor s a functon of ts nformaton qualty and dsclosures. In ths sense, our study provdes theoretcal gudance to emprcal studes that examne the lnk between frms dsclosures and/or nformaton qualty, and frms cost of captal (e.g., Botosan, 1997; Botosan and Plumlee, 2002; Francs et al., 2004). 3 It s mportant to recognze, however, that our nformaton effects are fully captured by an approprately specfed, forward-lookng beta. Thus, our model does not provde support for an addtonal nformaton 3 In addton, our study provdes an explanaton for emprcal studes that fnd dfferences n dsclosure regulaton can explan dfferences n frms equty rsk premum (or the average cost of equty captal) across countres (e.g., Hal and Leuz, 2006). 4

8 rsk factor. One way to ustfy the ncluson of nformaton proxes n a cost of captal model would be to note that an estmate of beta, whch for nstance s based on hstorcal data alone, does generally not capture all nformaton effects. In ths case, however, t s ncumbent on accountng researchers to carefully specfy a measurement error model ustfyng the ncluson of nformaton proxes n the emprcal specfcaton. 4 A second contrbuton of our paper s that t provdes a drect lnk between nformaton qualty and frms cost of captal, wthout reference to market lqudty. Pror work suggests an ndrect lnk between dsclosure and frms cost of captal based on market lqudty and adverse selecton n secondary markets (e.g., Damond and Verreccha, 1991; Baman and Verreccha, 1996; Easley and O Hara, 2004). These studes, however, analyze settngs wth a sngle frm (or settngs where cash flows across frms are uncorrelated). Thus, t s unclear whether the effects demonstrated n these studes survve the forces of dversfcaton and extend to more general mult-securty settngs. We emphasze, however, that we do not dspute the possble role of market lqudty for frms cost of captal, as several emprcal studes suggest (e.g., Amhud and Mendelson, 1986; Chorda et al., 2001; Easley et al., 2002; Pastor and Stambaugh, 2003). Our paper focuses on an alternatve (and possbly more drect) explanaton as to how nformaton qualty nfluences non-dversfable rsks. Fnally, our paper contrbutes to the lterature by showng that nformaton qualty has ndrect effects on real decsons, whch n turn manfest n frms cost of captal. In ths sense, our study relates to work on real effects of accountng nformaton (e.g., Kanoda et al., 2000 and 2004). These studes, however, do not analyze the effects on frms cost of captal or nondversfable rsks. 4 See, e.g., Beaver et al. (1970) for an emprcal analyss that relates accountng nformaton to a frm s beta. 5

9 The remander of ths paper s organzed as follows. Secton 2 sets up the basc model n a world of homogeneous belefs, defnes terms, and derves the determnants of the cost of captal. Sectons 3 and 4 analyze the drect and ndrect effects of accountng nformaton on frms cost of captal, respectvely. Secton 5 summarzes our fndngs and concludes the paper. 2. Model and Cost of Captal Dervaton We defne cost of captal to be the expected return on the frm s stock. Consstent wth standard models of asset prcng, the expected rate of return on a frm s stock s the rate, R, that equates the stock prce at the begnnng of the perod, P, to the cash flow at the end of the perod, V : R ~ V ~ ~ ~ V P P (1 + ) =, or R =. Our analyss focuses on the expected rate of return, whch P ~ ~ E( V Φ) P s E( R Φ) =, where Φ s the nformaton avalable to market partcpants to P make ther assessments regardng the dstrbuton of future cash flows. We assume there are J securtes n the economy whose returns are correlated. The best known model of asset prcng n such a settng s the Captal Asset Prcng Model (CAPM) (Sharpe, 1964; Lnter, 1965). Therefore, we begn our analyss by presentng the conventonal formulaton of the CAPM, and then transform ths to show how nformaton affects expected returns. In the CAPM, the expected return on a frm s stock can be expressed as a functon of the rsk-free rate, R f, the expected return on the market, E R ~ ), and the frm s beta coeffcent, β : E(R ~ E(R [ ] ~ [ Cov(R ~, R ~ )] Var(R ~ ) R ) R E(R ~ ) R R M Φ Φ = f f + M Φ f β = f + m Φ. (1) Φ) ( m M 6

10 Eqn. (1) shows that the only frm-specfc parameter that affects the frm s cost of captal s ts beta coeffcent, or, more specfcally, the covarance of ts future return wth that of the market portfolo. Ths covarance s a forward-lookng parameter, and s based on the nformaton avalable to market partcpants. Consstent wth the conventonal formulaton of the CAPM, we assume market partcpants possess homogeneous belefs regardng the expected end-of-perod cash flows and covarances. Because the CAPM s expressed solely n terms of covarances, ths formulaton mght be nterpreted as mplyng that other factors, for example the expected cash flows, do not affect the frm s cost of captal. It s mportant to keep n mnd, however, that the covarance term n the CAPM s expressed n terms of returns, not n terms of cash flows. The two are related va the ~ ~ equaton ~ ~ V V 1 ~ ~ Cov ( R, ) (, M RM = Cov ) = Cov( V, VM ). Ths means that nformaton P PM PPM potentally affects the expected return on a frm s stock through ts effect on nferences about the covarances of future cash flows, or through the current perod stock prce, or both. Clearly the current stock prce s a functon of the expected-end-of-perod cash flow. In partcular, the CAPM can be re-expressed n terms of prces nstead of returns as follows (see Fama,1976, eqn. [83]): ~ ~ E( V M Φ) (1 + R f ) P M E( V Φ) ~ Var( VM Φ) P = 1 + R f J ~ ~ Cov( V, Vk Φ) k= 1, = 1,, J. (2) Eqn. (2) ndcates that the current prce of a frm can be expressed as the expected end-of-perod cash flow mnus a reducton for rsk. Ths rsk-adusted expected value s then dscounted to the begnnng of the perod at the rsk-free rate. The rsk reducton factor n the numerator of eqn. (2) 7

11 ~ E( VM Φ) (1 + R f ) PM has both a macro-economc factor, ~, and a frm-component, whch s Var( V Φ) M determned by the covarance of the frm s end-of-perod cash flows wth those of all other frms. As n Fama (1976), the term (V ~ J Cov, V ~ k= 1 k Φ) s a measure of the contrbuton of frm to ~ J ~ the overall varance of the market cash flows, V M = V k. k= 1 Eqns. (1) and (2) express expected returns and prcng on a relatve bass: that s, relatve to the market. If we make more specfc assumptons regardng nvestors preferences, we can express prces and returns on an absolute bass. 5 In partcular, f the economy conssts of N nvestors wth negatve exponental utlty wth rsk tolerance parameter τ, the begnnng-ofperod stock prce can be expressed as (detals n the Appendx): J ~ 1 ~ ~ E( V Φ) Cov( V, V k Φ) Nτ P k= = R f. (3) As n eqn. (2), prce n eqn. (3) s equal to the expected end-of-perod cash flow mnus a reducton for the rskness of frm, all dscounted back to the begnnng of the perod at the rskfree rate. The dscount for rsk s now smply the contrbuton of frm s cash flows to the aggregate rsk of the market dvded by the term Nτ, whch s the aggregate rsk tolerance of the marketplace. The prce of the market portfolo can be found by summng eqn. (3) across all ~ 1 ~ frms: ( 1+ R f ) PM = E( VM Φ) Var( VM Φ), whch can also be expressed as Nτ 5 More specfcally, the prcng and return formulas wll be expressed relatve to the rsk free rate, whch acts as the numerare n the economy. 8

12 1 = Nτ ~ E( VM Φ) (1 + R f ) P ~ Var( V Φ) M M. Therefore, the aggregate rsk tolerance of the market determnes the rsk premum for market-wde rsk. We can re-arrange eqn. (3) to express the expected return on the frm s stock as follows. Lemma 1. The cost of captal for frm s ~ 1 J ~ ~ ~ R f E( V Φ) + Cov( V, Vk Φ) ~ E( V Φ) P Nτ E( R Φ) = = k= 1. (4a) P ~ 1 J ~ ~ E( V ) Cov( V, Vk Φ) Nτ k= 1 If we further assume that (V ~ J Cov V ~, k Φ) 0, ths reduces to k= 1 ~ ~ R f H ( Φ) + 1 E( V Φ) E( R Φ) =, where H ( Φ) =. (4b) H ( Φ) 1 1 J ~ ~ Cov( V, Vk Φ) Nτ k= 1 Lemma 1 shows that the cost of captal of the frm depends on four factors: the rsk free rate, the aggregate rsk tolerance of the market, the expected cash flow of the frm, and the covarance of the frm s cash flow wth the sum of all the frms cash flows n the market. The latter three terms can be combned nto the rato of the frm s expected cash flows, to frm s contrbuton to aggregate rsk per-unt-of aggregate rsk tolerance. Note that the defnton of cost of captal n Lemma 1 does not requre that frm s expected cash flow, or the covarance of that cash flow wth the market, be of any partcular sgn. In the next result we show how a change n each of the four factors affects cost of captal. Proposton 1. Ceters parbus the cost of captal for frm, E (R ~ ), s: (a) ncreasng (decreasng) n the rsk free rate, R f, when the expected cash flow and the prce of the frm have the same (dfferent) sgn; 9

13 (b) decreasng (ncreasng) n the aggregate rsk tolerance of the market, Nτ, when the expected cash flow and covarance of that cash flow wth the market have the same (dfferent) sgn; (c) decreasng (ncreasng) n the expected end-of-perod cash flow, J Cov(V ~, V ~ k ) k= 1 s postve (negatve); and J (d) ncreasng (decreasng) n Cov(V ~, V ~ k ) when E(V ~ ) k= 1 E(V ~ ), when s postve (negatve). To make the ntuton that underles Proposton 1 as transparent as possble, consder the case n whch frm s expected end-of-perod cash flow, the covarance between ts end-of-perod cash flows and the market, and the frm s begnnng-of-perod stock prce are all postve. Here, the reason why the expected return on frm s ncreasng n the rsk-free rate s clear, because ths provdes the baselne return for all securtes. When Nτ ncreases, the aggregate rsk tolerance of the market ncreases; hence, the dscount appled to each frm s rskness decreases. 6 J the frm s expected rate of return closer to the rsk-free rate. When Cov(V ~, V ~ k ) k= 1 Ths moves ncreases, the contrbuton of the rskness of frm s cash flows to the overall rskness of the market goes up; hence, the expected return must ncrease to compensate nvestors for the ncrease n rsk. Ths s one of the key nsghts of the CAPM (Sharpe, 1964; Lntner, 1965). The most surprsng result s that an ncrease n the expected value of cash flows decreases the expected rate of return. The ntuton, however, s farly straghtforward. Consder a frm wth two components of cash flow: a rskless component ( V a ) and a rsky component ( V b ). Clearly the cost of captal for the frm wll be somewhere n between the cost of captal 6 Ths s analogous to the effect dscussed n Merton (1987). 10

14 for the rskless component and the cost of captal for the rsky component. But f the frm s expected cash flow ncreases wthout affectng the frm s varances or covarances, ths s exactly analogous to addng a new rskless component of cash flows to the frm s exstng cash flows. The frm s cost of captal therefore decreases. The results above vary one effect at a tme, holdng the others constant. But what f the expected cash flows and the covarance change smultaneously? For the specal case where expected cash flows and the covarance both change n exactly the same proporton, t s easy to see that the numerator and denomnator each change by that proporton n eqn. (4), and thus cancel out. In ths specal case, there s no effect on the cost of captal. There s an effect, however, for any smultaneous change that s not exactly proportonate on the two terms. Whle t s common n some corporate fnance and valuaton models to assume that the level of cash flow and the covarances move n exact proporton to each other (.e., all cash flows are from the same rsk class), we are unaware of any theoretcal results or emprcal evdence to suggest ths should be the case. On the contrary, the exstence of fxed costs n the producton functon, economes of scale, etc., generally make the expected values and covarances of frm s cash flows change n ways that are not exactly proportonal to each other. Moreover, there s ample emprcal evdence that betas vary over tme, whch mples the rato of expected cash flow to overall covarance vares, suggestng that new nformaton has an mpact as t becomes avalable. There s nothng n Proposton 1 that s specfc to accountng nformaton. Any shock new regulatons, taxes, nventons, etc. that affects the H term has a correspondng effect on the frm s expected return. In the followng two sectons we focus on how accountng nformaton mpacts the H(Φ) rato n the cost of captal equaton. In secton 3, we show how, holdng the 11

15 real decson of the frm fxed, accountng nformaton affects the assessments made by market partcpants of the dstrbuton of future cash flows, and how ths assessment mpacts the frm s cost of captal. In secton 4, we show that accountng nformaton affects real actons wthn the frm, and that ths naturally leads to changes n the rsk-return characterstcs of the frm, thereby affectng the frm s cost of captal. 3. Drect Effects of Informaton on the Cost of Captal In ths secton we hold constant the real (operatng, nvestng, and fnancng) decsons of the frm (we relax ths n Secton 4). Even though accountng and dsclosure polces do not affect the real cash flows of the frm here, they affect the assessments that market partcpants have regardng the dstrbuton of these future cash flows. As a result, they affect equlbrum stock prces and expected returns. In partcular, eqns. (3) and (4) show that stock prce and the expected return are, respectvely, decreasng and ncreasng functons of the covarance of a frm s end-of-perod cash flow wth the sum of all frms end-of perod cash flows. In the next two sub-sectons, we dscuss the two components of ths covarance: the frm s own varance and J k k= 1 k k ~ ~ ~ ~ ~ ~ the covarances wth other frms, Cov( V, V ) = Cov( V, V ) + Cov( V, V ). 3.1 Drect Effects Through the Varance of the Frm s Cash Flow The dea that better qualty accountng nformaton reduces the assessed varance of the frm s cash flow s well known. As an applcaton, consder the mpact on the cost of captal of frm f more nformaton becomes avalable (ether through more transparent accountng rules, addtonal frm dsclosure, or greater nformaton search by nvestors). Suppose the frm s nvestment decsons have been made; let V 0 and ω represent the ex-ante expected value and 12

16 ex-ante precson of the end-of-perod cash flow, respectvely. Suppose nvestors receve Q ndependently dstrbuted sgnals, z 1,...,z Q, about the ultmate realzaton of frm s cash flow, where each sgnal has precson cash flow has a normal dstrbuton wth mean γ. Then nvestors posteror dstrbuton for end-of-perod ~ ω γ Q E( V z 1,..., z Q) = + V0 + z + q = q, and precson ω + Qγ. ω Qγ ω Qγ 1 Therefore, usng part d of Proposton 1, the expected return s a decreasng functon of the precson, ω + Qγ. Ths mples that the frm s cost of captal declnes wth: 1) an ncrease n the pror precson, ω ; 2) the number of new sgnals, Q; or 3) the precson of these sgnals, γ. The frm-specfc varance reducton effect s an mportant factor n the cost of captal analyss of Easley and O Hara (2004). Whle ther paper models a mult-securty economy, the assumpton that all cash flows are ndependently dstrbuted mples that the prcng of each frm s also done ndependently. In partcular, f we smplfy ther model to remove the prvate nformaton component of ther model, ther prcng equaton reduces to: P ~ x 1 = E( V ), (5) Nτ ω + Qγ where x s the supply of the rsky asset (and the analyss assumes the rsk-free rate s zero). Therefore, the mpact of nformaton on the equlbrum prce s smlar to our eqn. (3). 7 As more publc sgnals are generated, the assessed varance of the frm s cash flows goes down. 7 In other work, we show that, contrary to ther clams, the other effect on the cost of captal n Easley and O Hara (2004) s not drven by the asymmetry of nformaton across nvestors. Instead, t s the average precson of nvestor s nformaton that s the determnant of the cost of captal n ther model. Moreover, the same argument we use here mples that ther nformaton effect, regardless of ther nterpretaton, s dversfable as the economy gets large. 13

17 The analyss above formalzes the noton that accountng nformaton and dsclosure reduce the assessed varance of the frm s end-of-perod cash flows. As eqn. (3) shows, ths s one of the components of the covarance of the frm s cash flow wth those of all frms. Therefore, ceters parbus, reducng the assessed varance of the frm s cash flows ncreases the frm s stock prce and reduces the frm s expected return. Moreover, because ths s an addtvely separate term n the overall covarance, the magntude of ths mpact on prce does not depend on how hghly the frm s cash flows co-vary wth those of other frms. For example, a decrease of, say, 10 percent n the assessed varance of frm cash flows has the same dollar effect on stock prce regardless of the degree of covarance wth other cash flows. Clearly, for a gven fnte value of N (the number of nvestors) and J (the number of frms n the economy), there s a non-zero effect on prce and on the cost of captal of reducng the assessment of frm-varance. Next we address the queston of the dversfablty (or magntude) of the effect of reducng the market s assessed varance of the frm s cash flows. Intutvely, the noton that a rsk s dversfable s usually expressed n terms of how t affects the varance of a portfolo as the number of frms n the portfolo gets large. 8 To examne ths more rgorously, we must ensure that economy-wde rsks are absorbed by the market partcpants collectvely, and economy-wde rsks are prced. Ths mples that J (the number of securtes) and N (the number of nvestors) must both get large. To see ths, consder as one polar case a stuaton n whch the number of frms n the economy ncreases, whle holdng the number of nvestors fxed. Ths does make the contrbuton of frm varance small relatve to the covarance wth all frms (assumng frms covarances tend to be postve). It also ncreases, however, the aggregate rsk 8 In partcular, the varance of an equally weghted portfolo of J securtes can be expressed as 1 1 J 1 R ~ AverageVar(R ~ Varance( AverageCov(R ~,R ~ ) = ) + k ). As J gets large ths converges to the average covarance J J J between the returns n the portfolo. The ndvdual varances of the frms returns asymptotcally dsappear. 14

18 n the economy: that s, J ~ ~ Cov( V, V k ) k= 1 ncreases wthout bound. Ths drves prces lower and results n an nfnte ncrease n the expected return requred to hold the stock (see eqns. [3] and [4]). On the other hand, consder as the other polar case a stuaton where N, the number of nvestors n the economy, spreads all rsks (not ust frms varances) over more nvestors, whch reduces all rsk premums and decreases all expected returns. In the lmt, J 1 ~ ~ Cov( V, V k ) approaches zero for each frm and even for the market; therefore, no rsks are N 1 k= prced. To avod these unnterestng, polar cases, J and N must both ncrease for the noton of dversfablty to be meanngful. When J and N both ncrease, the effect of frm-varance on the cost of captal, 1 ~ ~ Cov( V, V ), Nτ asymptotcally approaches zero, because ths term only appears once n the overall covarance for a frm. 9 1 ~ ~ The covarance wth other frms, however, Cov( V, V k ), Nτ k survves because the number of covarance terms (J-1) also ncreases as the economy gets large. In the next secton, we analyze how nformaton affects the covarance terms. 3.2 Drect Effect Through the Covarance wth other Frms Cash Flows In ths secton, we show that nformaton about a frm s future cash flows also affects the assessed covarance wth other frms. Our work n ths secton bulds on the estmaton rsk lterature n fnance (See Brown,1979; Barry and Brown;1984 and 1985; Coles and 9 In our smplfed verson of the Easley and O Hara result (our eqn. [5]), as N gets large, the last term on the rghthand sde of the equaton approaches zero. Therefore, the frm s prced as f t s rskless (recall that Easley and O Hara assume there are no covarances wth other frms). Smlarly, n ther full blown model (see ther proposton 2), as N gets large the per-capta supply of the frm s stock goes to zero, and agan the prcng equaton collapses to a rsk-neutral one. 15

19 Loewensten,1988; and Coles et al., 1995). Specfcally, our work dffers from ths lterature n three mportant ways. Frst, the estmaton rsk lterature generally focuses on the mpact of the nformaton envronment on the beta of the frm, whereas our focus s on the cost of captal. Because the nformaton structures analyzed n ths lterature generally affect all frms n the economy, the mpact on beta s confounded by the smultaneous mpact on the covarances between frms and the varance of the market portfolo. Ths s one reason why they obtan results that are mxed or dffcult to sgn. By focusng on the cost of captal, we can analyze the mpact of both effects. Second, the estmaton lterature focuses on very specfc changes n the nformaton envronment. Some papers examne the mpact of ncreasng equally the amount of nformaton for all frms. Other papers compare two nformaton envronments: an envronment where all frms have an equal amount of nformaton to an envronment where one subgroup of frms has more nformaton avalable than does a second group. Our framework allows us to analyze more general changes n nformaton structures: both mandatory and voluntary. In partcular, unlke the pror lterature, we are able to address the queston of how more nformaton about one frm affects ts own cost of captal wthn an unequal nformaton envronment. Fnally, our model represents the nformaton sgnals dfferently than n the estmaton rsk lterature. The estmaton rsk lterature assumes the nformaton sgnals avalable about the frms arse from hstorcal tme-seres observatons of the frms returns. Whle ths lterature clams that the ntuton behnd ther results apples to nformaton more generally, the assumed tme-seres nature of ther nformaton sgnals drves a substantal element of the covarance 16

20 structure n ther models. In partcular, new nformaton sgnals are condtonally correlated wth contemporaneously observed sgnals and condtonally ndependent of all other sgnals. 10 We model a more general nformaton structure that allows us to examne alternatve covarance structures of the sgnals. Specfcally, we model nformaton sgnals as representng nosy measures of the varables of nterest, whch are end-of-perod cash flows. That s, an nformaton sgnal, Z ~, about frm s cash flow, V ~, s modeled as ~ ~ Z ~ = V + ε, where ~ ε s the nose or measurement error n the nformaton sgnal. Dependng on the correlaton structure assumed about the cash flows and error terms, ~ Z, could also be nformatve about the cash flow of other frms, as well as nformatve n updatng the assessed varances and covarances of end-of-perod cash flows. Ths formulaton of nformaton s consstent wth the way nformaton s modeled n vrtually all conventonal statstcal nference problems (see DeGroot, 1970). It s also consstent wth vrtually all papers n the vast nosy ratonal expectatons lterature n accountng and fnance (see Verreccha, 2001, for a revew). Our characterzaton of dsclosures as nosy sgnals about frms future cash flows (or other performance measures) also corresponds to actual dsclosure practces. Frms dsclose nformaton about ther earnngs, whch s the sum of ther market, ndustry, and dosyncratc components. Smlarly, other dsclosures such as revenues or cash flow are also about the frm 10 See Kalymon (1971) for the orgnal dervaton of the covarance matrx used n much of ths lterature. 17

21 as whole. 11 Analysts forecasts of future earnngs are about the earnngs of the frm, not ust of the frm specfc component of future earnngs. 12 To provde a smple ntal example, suppose that the future cash flows for two frms have ~ ~ an ex-ante covarance of Cov ( V, Vk ), whch s non-zero. Suppose we observe an nformaton ~ ~ sgnal about frm, Z, whch s a nosy sgnal about frm s future cash flow, V. For convenence, assume that the error term ~ ε s uncorrelated wth ether of the true cash flows V ~ or V ~ k. As n the prevous secton, a greater precson of the nformaton sgnal Z ~ about frm ~ s cash flow leads to a smaller posteror varance of V. Moreover, we can also show that the nformaton sgnal Z ~ also leads to an updatng of the covarance between the two cash flows V ~ ~ and V k. In partcular, t s straghtforward to show the followng. Proposton 2. The covarance between the cash flows of frms and k condtonal upon a ~ ~ sgnal about frm s cash flow moves away from the uncondtonal Cov ( V, Vk ) and closer to zero as the precson of frm s sgnal ncreases. Specfcally, ~ ~ Cov( V, V k ~ ~ ~ Var( ε ) Z ) = Cov( V, V k ) ~. (6) Var( Z ) 11 In contrast, Hughes et al. (2005) model nformaton sgnals as beng artfcally decomposed nto market and dosyncratc factors. Moreover, n our model cash flows have a completely general varance-covarance structure, whereas the analyss n Hughes et al. assumes a very specfc factor structure. Smlarly, the betas and covarances that turn out to be relevant n our prcng equatons are relatve to the market portfolo (the sum of all frm s cash flows), whereas n Hughes et al. the betas and covarances are relatve to the exogenously specfed common factors. 12 Whle the dea that the earnngs of a frm can be useful n predctng future cash flows of the ndustry or the market as a whole mght seem counterntutve, there s emprcal evdence to support ths. See Potrosk and Roulstone (2004) about how the actvtes of market partcpants (analysts, nsttutonal traders, and nsders) mpacts the ncorporaton of frm specfc versus ndustry versus market components of future earnngs nto prces. See also the nformaton transfer lterature (e.g., Foster, 1981). As we show, t s not necessary that there be a large effect of frm s dsclosures on other frms. 18

22 Therefore, the condtonal covarance between V ~ and V ~ k s equal to the uncondtonal covarance, tmes a factor that can be nterpreted as the percentage of the varance of the nformaton sgnal that conssts of nose or measurement error. As the measurement error n Z ~ goes down, the assessed covarance between V ~ and V ~ k decreases (n absolute value). The ntuton s as follow. If there s nfnte measurement error n Z ~, then observng Z ~ does not communcate anythng. Therefore, there s no need to update an assessment of the uncondtonal varance of V ~, or the uncondtonal covarance between V ~ and V ~ k. At the other extreme, f there s no measurement error n Z ~, then observng Z ~ s the same as observng V ~. But f V ~ s observed, there s no further covarance between V ~ and V ~ k ; hence, the assessed covarance goes to zero. Note that Proposton 2 does not requre that the uncondtonal covarance between V ~ and V ~ k be postve; as the measurement error n Z ~ goes down, the assessed covarance between V ~ and V ~ k moves closer to zero, rrespectve of ts sgn. Proposton 2 apples equally to the condtonal covarances wth all other frms n the economy. Ths mples that J ~ ~ Cov( V, Vk k= 1 J Var( ~ ε ~ ) ~ ~ Var( ε ) ~ J ~ Z ) = ~ Cov( V, Vk ) = ~ Cov( V, Vk ). k= 1 Var( Z ) Var( Z ) k= 1 Therefore, the condtonal covarance between the cash flows of frm and those of the market as a whole s proportonal to the amount of measurement error n the nformaton sgnal about frm s cash flow. Moreover, ths effect does not dversfy away n large economes: the effect s present for each and every covarance term wth frm. 19

23 For example, suppose the dstrbuton of cash flows s represented as a sngle-factor ~ ~ ndex model, so that the cash flow for frm s V u~ = a + b θ +, where θ s a market factor and u s a frm specfc factor. For convenence, let all the u s be dstrbuted ndependently. Let the nformaton sgnal about frm be a nosy measure of ts cash flow, ~ ~ Z = V + ~ ε, where the error terms are dstrbuted ndependently of the true cash flows, as well as each other. Then the uncondtonal covarance between the cash flows of frms and k s b b k Varance( ~ θ ), and the condtonal covarance gven the sgnal Z s ~ ~ Cov( V, Vk ~ ~ Varance( ε ) Z ) = b bkvarance( θ ) ~, whch mples Varance( Z ) ~ ~ ~ ~ Varance( ε ) Cov( V, Vk Z ) = b Varance( θ ) ~ bk. Varance( Z ) k k As before, the posteror covarance between frm and the market decreases as the qualty of the nformaton about frm s future cash flow mproves. These fndngs are n contrast to those n a concurrent paper by Hughes et al. (2005), whch employs more restrctve and less natural nformaton structures. For example, Hughes et al. show that f the nformaton concerns exclusvely the dosyncratc component of a frm's cash flows, not the cash flows per se, and the nformaton sgnal matrx s exclusvely dagonal, then there s no covarance effect. That s, under these condtons, the nformaton sgnals are, by defnton, unrelated to the component of cash flows that vares across frms, so they cannot be useful n updatng the assessed covarance. Hughes et al. also consders an nformaton structure that relates only to the common factor porton of cash flows. In ths case, nformaton does affect the covarance between a frm s cash flows and the common factors. Smlarly, the covarance between the cash flows of 20

24 any two frms that are both affected by ths common factor wll also change. Whle ths result s smlar n some ways to ours, the nature of the cross-sectonal mpact on the covarance, and therefore the cost of captal, dffers n ther paper because of the dfferent nformaton structure assumed. When the nformaton s about the cash flow as a whole, we fnd that vrtually any more general representaton of V ~, V ~ k, Z ~ and/or Z ~ k results n Z ~ and Z ~ k changng the covarance of V ~ and V ~ k, whch s the effect that we obtan n our general varance-covarance framework. Thus, we clam that n general nformaton about frm cash flows (or other measures of frm performance) has a covarance effect, and hence leads to cross-sectonal dfferences n frms cost of captal. In partcular, at the extreme, f nformaton could fully reveal the frm s future cash flow, the cash flow would, by defnton, be rskless and the cost of captal on the frm s stock would converge to the rsk free rate. It s possble to expand the analyss n ths secton n several ways. For example, n Proposton 2, we refer to the covarance between the cash flows of frms and k condtonal on (a sngle) frm provdng nformaton about ts cash flow. In the proof of Proposton 2 n the appendx, we offer a more general result based on computng the covarance of cash flows condtonal on both frms and k provdng nformaton about ther respectve cash flows. The analyss could be generalzed further to allow all frms n the economy to provde nformaton about ther respectve cash flows. It s mportant to pont out that, even n the case where all frms provde nformaton, t s not necessarly the case that the uncertanty about the market cash 21

25 flow s elmnated. If each frm dscloses ts realzed cash flow wth nose, uncertanty about the market cash flow wll grow as the number of frms n the economy grows. 13 Another possble extenson s that n our paper (as s true n most of the ratonal expectatons lterature) we nterpret the sgnals as beng related to the realzed cash flow. We can also conduct the analyss by nterpretng them nstead as sgnals about the future expected cash flow (or parameters of the dstrbuton of future cash flows). In fact, most of the estmaton rsk lterature nterprets the sgnals n ths way. Of course, when learnng about the expected future cash flow, as opposed to the realzed future cash flow, a perfect sgnal does not resolve all uncertanty, so the asset does not become rskless. Nonetheless, better nformaton reduces the covarances. We can also repeat the analyss under alternatve assumptons regardng what parameters of the dstrbuton of future cash flows are uncertan: 1) the expected cash flows are unknown but the covarance matrx s known; or 2) the expected cash flows and the covarance matrx are both unknown. We could also allow the error terms ( ~ ε s) to be correlated across frms and examne the mplcatons of ths. 3.3 The Effects of Mandatory Dsclosures In the prevous sectons, we analyze the mpact of changng the qualty of accountng nformaton for a sngle frm on ts prce and cost of captal. We now brefly dscuss the effects of mandatory dsclosure of accountng nformaton. The man dfference s that dsclosure regulaton affects all frms. Therefore, n addton to the mpact of frm s dsclosure on, say, the covarance between the cash flows of frms and k, there s an addtonal mpact on ths covarance by frm k s dsclosures. In prncple, dsclosure by other frms can have a (small) 13 In contrast, f each frm dscloses the aggregate market cash flow wth dosyncratc nose, dsclosures by many frms reveals the market cash flow n the lmt; thus, there would be no aggregate uncertanty. Ths nformaton structure, however, s not very descrptve of what frms do. 22

26 mpact on the covarance wth frm. That s, each frm s dsclosure has an externalty on other frms cost of captal. Ths postve externalty provdes potentally a reason why there could be benefts to dsclosure regulaton, rather than relyng on voluntary dsclosures, because frms wll not take ths externalty nto account when decdng the optmal level of voluntary dsclosure. Whle ths effect s small ndvdually, t could become large collectvely. 14 Usng our framework, t s therefore straghtforward to show that ncreasng the qualty of mandated dsclosures reduces the cost of captal for all frms n the economy (assumng that the expected cash flow of each frm n the economy and the covarance of that frm s cash flow wth the market have the same sgn). The magntude of the mpact of mandatory dsclosure, however, on a partcular frm s cost of captal s less clear-cut. Even f mandatory dsclosures affect all elements of the covarance matrx of future cash flows by a scale factor, the effect on the cost of captal s not proportonate for all frms. It follows from the prcng formula n eqn. (2) that even f the mpact on the covarances of future cash flows s proportonate, the effect on the expected values of future cash flows s unlkely to have the same scale factor. Therefore, the prces of all frms wll not change proportonately. Thus, usng eqn. (4), the frms expected returns (and cost of captal) wll not change by the same proporton for all frms ether. 15 Moreover, t seems unlkely that mandated dsclosures alters the entre covarance matrx of all frms future cash flows by the same scale factor. The amount of new nformaton provded by a partcular mandated dsclosure depends on what other nformaton the frm already 14 See Admat and Pflederer (2000) and Fshman and Hagerty (1989) for other externalty-based explanatons of mandatory dsclosure. 15 Some early models n the estmaton rsk lterature n fnance (e.g., Kalymon, 1971; Brown, 1979) assumed that nformaton had a proportonate mpact on the covarance matrx of returns, and some found that nformaton would not affect the betas of frms. Ths result occurred because (by assumpton) all the covarances and varances of frms returns changed proportonately. Therefore, there was no effect on the beta coeffcent of returns, whch s the rato of the covarance of the frm s return to the market dvded by the varance of the market return, because the numerator and denomnator changed by the same scale factor. It s more natural to assume, however, that the mpact of nformaton s on the assessed dstrbuton of cash flows, not returns. See Coles and Lowensten (1988) for smlar dscusson. 23

27 dscloses. For some frms, ths dsclosure requrement duplcates other dsclosures, n whch case t provdes no addtonal nformaton; for others t may provde a small amount of ncremental nformaton, and for others stll t may be completely new. These nformaton effects mply an unequal mpact of dsclosure regulaton on the ndvdual elements of the covarance matrx of future cash flows. Thus, frms are lkely to beneft from mandatory dsclosures dfferentally. It s mportant to dstngush between the mpact of mandated dsclosure on the cost of captal and the mpact on the beta coeffcent. Our formulaton allows us to express the cost of captal n a reduced form that depends on assessed covarance between the cash flow of the frm and the cash flows of all frms n the market. Even though mandated dsclosure reduces the cost of captal for frms, ths does not mply that t reduces all beta coeffcents smlarly. Instead, the lowered covarance between end-of-perod cash flows mples a reducton n the product of the mpact on the market rsk premum and the beta coeffcent; t does not mply a reducton n the beta coeffcent separately. In fact, the average beta n the economy must stll be 1.0, regardless of the qualty of the nformaton envronment. Therefore, mandated dsclosure cannot reduce all frms betas. Ths suggests that researchers nterested n examnng the effect of mandated dsclosures on costs of captal must look to alternatve measures for cost of captal than the beta coeffcent. 4. Indrect Effects of Informaton on Cost of Captal In ths secton, we show how the qualty of the accountng and dsclosure system has an ndrect mpact the frm s cost of captal through ts effect on real decsons that mpact the expected cash flows and covarances of cash flows. Clearly, decson-makers n an economy make decsons on the bass of the nformaton they have avalable to them. If ths nformaton 24

28 changes, so wll ther decsons. To the extent these new decsons alter the dstrbuton of the frm s end-of-perod-cash flow, ths mpacts the frm s cost of captal. In partcular, as we showed n Proposton 1, f the rato of the frm s expected cash flow to the covarance between the frm s cash flow and the sum of all other frms cash flows changes (our parameter H n our Lemma 1), the expected rate of return on the frm s stock wll change, and by defnton, so wll ts cost of captal. The potental scope of the decsons that a frm s accountng and dsclosure systems may affect can be qute broad. In addton to the decsons of nvestors and credtors, a frm s accountng and dsclosure systems may affect manageral actons, as well as the potental actons of compettors, regulatory authortes, etc. The mpact on the frm s cost of captal can be ether postve or negatve. To be able to predct the ndrect effect of accountng nformaton on the frm s cost of captal therefore requres the researcher to carefully specfy: 1) the lnk between nformaton and these decsons; and 2) the mpact of these decsons on the dstrbuton of future cash flows. We provde two smple examples to llustrate these ssues. In one, accountng nformaton affects the amount of cash that s approprated from nvestors. In the second, accountng nformaton changes a manager s nvestment decsons. 4.1 Informaton, Governance, and Appropraton Many papers (e.g., n agency theory) have suggested that better fnancal reportng and/or corporate governance ncreases frm value by reducng the amount that managers approprate for themselves (e.g., LaPorta et. al., 1997; Lambert, 2001). These papers, however, do not dscuss the mpact that these systems have on the frm s cost of captal. In fact, some of them clam that these systems have a one-tme effect on prce, but do not affect the cost of captal as defned 25

29 by the dscount rate mplct n the frm s stock valuaton. An excepton s Lombardo and Pagano (2000) (LP), a paper that also analyzes the mpact of governance and appropraton on frm s cost of captal. We compare our model and results to LP below. ~ Represent the gross end-of-perod cash flow of frm before any appropraton by V *. As before, we assume ths cash flow has a normal dstrbuton. Managers approprate for themselves an amount A that decreases wth the qualty of the nformaton and/or governance systems. By accountng systems here, we do not mean smply the dsclosures the frm makes to outsders, but also nternal control systems, corporate governance polces, etc. 16 Clearly, a more sophstcated analyss could be conducted that endogenously derves the functonal form of A and/or determnes the types of nformaton that lead to the largest reductons n A, but these features are not necessary to make our pont. In partcular, the amount of the frm s end-of-perod cash flows that s approprated from shareholders s A Q = A Q + A Q V * ( ) 0 ( ) 1( ), where Q s the qualty of the accountng system, etc., and V* s the value of the frm gross of any appropraton. 17 A hgher qualty accountng system s assumed to reduce the amount of msappropraton: A 0 0 and A 1 0. Ths means that the net amount receved by the frm s shareholders s ~ V = V ~* ( ) (1 )) ~* A Q = A1( Q V A0( Q). 16 More generally, the amount a manager could approprate would also depend on dmensons of the legal system, such as the ablty to brng lawsuts aganst the frm and/or managers. 17 LP analyze a model that also has a parameter analogous to our A 1, whch reduces the cash flow avalable to shareholders by a fractonal amount. LP do not have a parameter, however, that corresponds exactly to our A 0, whch reduces the end-of-perod cash flow by a constant. Instead LP have a cost that shareholders pay out of ther own pocket for audtng and legal fees. Ths fee s proportonal to the share prce, whch obvously depends on the expected end-of-perod cash flow. Another dfference s that n LP appropraton parameters are economy-wde (or for segments of the market), whereas ours can be frm-specfc. Fnally, we explctly analyze the mpact the appropraton parameters have on the rskness of the end-of-perod cash flow (varances and covarances), whereas these are not ssues addressed n LP. 26

Risk and Return: The Security Markets Line

Risk and Return: The Security Markets Line FIN 614 Rsk and Return 3: Markets Professor Robert B.H. Hauswald Kogod School of Busness, AU 1/25/2011 Rsk and Return: Markets Robert B.H. Hauswald 1 Rsk and Return: The Securty Markets Lne From securtes

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Principles of Finance

Principles of Finance Prncples of Fnance Grzegorz Trojanowsk Lecture 6: Captal Asset Prcng Model Prncples of Fnance - Lecture 6 1 Lecture 6 materal Requred readng: Elton et al., Chapters 13, 14, and 15 Supplementary readng:

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

Introduction. Chapter 7 - An Introduction to Portfolio Management Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

More information

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da *

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da * Copyrght by Zh Da and Rav Jagannathan Teachng Note on For Model th a Ve --- A tutoral Ths verson: May 5, 2005 Prepared by Zh Da * Ths tutoral demonstrates ho to ncorporate economc ves n optmal asset allocaton

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

Prospect Theory and Asset Prices

Prospect Theory and Asset Prices Fnance 400 A. Penat - G. Pennacch Prospect Theory and Asset Prces These notes consder the asset prcng mplcatons of nvestor behavor that ncorporates Prospect Theory. It summarzes an artcle by N. Barbers,

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

Clearing Notice SIX x-clear Ltd

Clearing Notice SIX x-clear Ltd Clearng Notce SIX x-clear Ltd 1.0 Overvew Changes to margn and default fund model arrangements SIX x-clear ( x-clear ) s closely montorng the CCP envronment n Europe as well as the needs of ts Members.

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model Chapter 11: Optmal Portolo Choce and the CAPM-1 Chapter 11: Optmal Portolo Choce and the Captal Asset Prcng Model Goal: determne the relatonshp between rsk and return key to ths process: examne how nvestors

More information

Multifactor Term Structure Models

Multifactor Term Structure Models 1 Multfactor Term Structure Models A. Lmtatons of One-Factor Models 1. Returns on bonds of all maturtes are perfectly correlated. 2. Term structure (and prces of every other dervatves) are unquely determned

More information

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects

More information

Forecasts in Times of Crises

Forecasts in Times of Crises Forecasts n Tmes of Crses Aprl 2017 Chars Chrstofdes IMF Davd J. Kuenzel Wesleyan Unversty Theo S. Echer Unversty of Washngton Chrs Papageorgou IMF 1 Macroeconomc forecasts suffer from three sources of

More information

Investment Management Active Portfolio Management

Investment Management Active Portfolio Management Investment Management Actve Portfolo Management Road Map The Effcent Markets Hypothess (EMH) and beatng the market Actve portfolo management Market tmng Securty selecton Securty selecton: Treynor&Black

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

More information

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS North Amercan Journal of Fnance and Bankng Research Vol. 4. No. 4. 010. THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS Central Connectcut State Unversty, USA. E-mal: BelloZ@mal.ccsu.edu ABSTRACT I nvestgated

More information

ISE High Income Index Methodology

ISE High Income Index Methodology ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s

More information

Real Exchange Rate Fluctuations, Wage Stickiness and Markup Adjustments

Real Exchange Rate Fluctuations, Wage Stickiness and Markup Adjustments Real Exchange Rate Fluctuatons, Wage Stckness and Markup Adjustments Yothn Jnjarak and Kanda Nakno Nanyang Technologcal Unversty and Purdue Unversty January 2009 Abstract Motvated by emprcal evdence on

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu Rasng Food Prces and Welfare Change: A Smple Calbraton Xaohua Yu Professor of Agrcultural Economcs Courant Research Centre Poverty, Equty and Growth Unversty of Göttngen CRC-PEG, Wlhelm-weber-Str. 2 3773

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

Sequential equilibria of asymmetric ascending auctions: the case of log-normal distributions 3

Sequential equilibria of asymmetric ascending auctions: the case of log-normal distributions 3 Sequental equlbra of asymmetrc ascendng auctons: the case of log-normal dstrbutons 3 Robert Wlson Busness School, Stanford Unversty, Stanford, CA 94305-505, USA Receved: ; revsed verson. Summary: The sequental

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Chapter 15: Debt and Taxes

Chapter 15: Debt and Taxes Chapter 15: Debt and Taxes-1 Chapter 15: Debt and Taxes I. Basc Ideas 1. Corporate Taxes => nterest expense s tax deductble => as debt ncreases, corporate taxes fall => ncentve to fund the frm wth debt

More information

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

Lecture 6 Foundations of Finance. Lecture 6: The Intertemporal CAPM (ICAPM): A Multifactor Model and Empirical Evidence

Lecture 6 Foundations of Finance. Lecture 6: The Intertemporal CAPM (ICAPM): A Multifactor Model and Empirical Evidence Lecture 6 Foundatons of Fnance Lecture 6: The Intertemporal CAPM (ICAPM): A Multfactor Model and Emprcal Evdence I. Readng. II. ICAPM Assumptons. III. When do ndvduals care about more than expected return

More information

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.

More information

Chapter 6 Risk, Return, and the Capital Asset Pricing Model

Chapter 6 Risk, Return, and the Capital Asset Pricing Model Whch s better? (1) 6% return wth no rsk, or (2) 20% return wth rsk. Chapter 6 Rsk, Return, and the Captal Asset Prcng Model Cannot say - need to know how much rsk comes wth the 20% return. What do we know

More information

Appendix - Normally Distributed Admissible Choices are Optimal

Appendix - Normally Distributed Admissible Choices are Optimal Appendx - Normally Dstrbuted Admssble Choces are Optmal James N. Bodurtha, Jr. McDonough School of Busness Georgetown Unversty and Q Shen Stafford Partners Aprl 994 latest revson September 00 Abstract

More information

UNIVERSITY OF NOTTINGHAM

UNIVERSITY OF NOTTINGHAM UNIVERSITY OF NOTTINGHAM SCHOOL OF ECONOMICS DISCUSSION PAPER 99/28 Welfare Analyss n a Cournot Game wth a Publc Good by Indraneel Dasgupta School of Economcs, Unversty of Nottngham, Nottngham NG7 2RD,

More information

THE IMPORTANCE OF THE NUMBER OF DIFFERENT AGENTS IN A HETEROGENEOUS ASSET-PRICING MODEL WOUTER J. DEN HAAN

THE IMPORTANCE OF THE NUMBER OF DIFFERENT AGENTS IN A HETEROGENEOUS ASSET-PRICING MODEL WOUTER J. DEN HAAN THE IMPORTANCE OF THE NUMBER OF DIFFERENT AGENTS IN A HETEROGENEOUS ASSET-PRICING MODEL WOUTER J. DEN HAAN Department of Economcs, Unversty of Calforna at San Dego and Natonal Bureau of Economc Research

More information

Stochastic ALM models - General Methodology

Stochastic ALM models - General Methodology Stochastc ALM models - General Methodology Stochastc ALM models are generally mplemented wthn separate modules: A stochastc scenaros generator (ESG) A cash-flow projecton tool (or ALM projecton) For projectng

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

Highlights of the Macroprudential Report for June 2018

Highlights of the Macroprudential Report for June 2018 Hghlghts of the Macroprudental Report for June 2018 October 2018 FINANCIAL STABILITY DEPARTMENT Preface Bank of Jamaca frequently conducts assessments of the reslence and strength of the fnancal system.

More information

Online Appendix for Merger Review for Markets with Buyer Power

Online Appendix for Merger Review for Markets with Buyer Power Onlne Appendx for Merger Revew for Markets wth Buyer Power Smon Loertscher Lesle M. Marx July 23, 2018 Introducton In ths appendx we extend the framework of Loertscher and Marx (forthcomng) to allow two

More information

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Network Analytics in Finance

Network Analytics in Finance Network Analytcs n Fnance Prof. Dr. Danng Hu Department of Informatcs Unversty of Zurch Nov 14th, 2014 Outlne Introducton: Network Analytcs n Fnance Stock Correlaton Networks Stock Ownershp Networks Board

More information

Introduction to game theory

Introduction to game theory Introducton to game theory Lectures n game theory ECON5210, Sprng 2009, Part 1 17.12.2008 G.B. Ashem, ECON5210-1 1 Overvew over lectures 1. Introducton to game theory 2. Modelng nteractve knowledge; equlbrum

More information

ASSET LIQUIDITY, STOCK LIQUIDITY, AND OWNERSHIP CONCENTRATION: EVIDENCE FROM THE ASE

ASSET LIQUIDITY, STOCK LIQUIDITY, AND OWNERSHIP CONCENTRATION: EVIDENCE FROM THE ASE ASSET LIQUIDITY, STOCK LIQUIDITY, AND OWNERSHIP CONCENTRATION: EVIDENCE FROM THE ASE Ghada Tayem*, Mohammad Tayeh**, Adel Bno** * Correspondng author: Department of Fnance, School of Busness, The Unversty

More information

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto Taxaton and Externaltes - Much recent dscusson of polcy towards externaltes, e.g., global warmng debate/kyoto - Increasng share of tax revenue from envronmental taxaton 6 percent n OECD - Envronmental

More information

Domestic Savings and International Capital Flows

Domestic Savings and International Capital Flows Domestc Savngs and Internatonal Captal Flows Martn Feldsten and Charles Horoka The Economc Journal, June 1980 Presented by Mchael Mbate and Chrstoph Schnke Introducton The 2 Vews of Internatonal Captal

More information

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics Spurous Seasonal Patterns and Excess Smoothness n the BLS Local Area Unemployment Statstcs Keth R. Phllps and Janguo Wang Federal Reserve Bank of Dallas Research Department Workng Paper 1305 September

More information

Equilibrium in Prediction Markets with Buyers and Sellers

Equilibrium in Prediction Markets with Buyers and Sellers Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque

More information

Quiz 2 Answers PART I

Quiz 2 Answers PART I Quz 2 nswers PRT I 1) False, captal ccumulaton alone wll not sustan growth n output per worker n the long run due to dmnshng margnal returns to captal as more and more captal s added to a gven number of

More information

Linear Combinations of Random Variables and Sampling (100 points)

Linear Combinations of Random Variables and Sampling (100 points) Economcs 30330: Statstcs for Economcs Problem Set 6 Unversty of Notre Dame Instructor: Julo Garín Sprng 2012 Lnear Combnatons of Random Varables and Samplng 100 ponts 1. Four-part problem. Go get some

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model

Chapter 11: Optimal Portfolio Choice and the Capital Asset Pricing Model Chapter 11: Optmal Portolo Choce and the CAPM-1 Chapter 11: Optmal Portolo Choce and the Captal Asset Prcng Model Goal: determne the relatonshp between rsk and return => key to ths process: examne how

More information

Networks in Finance and Marketing I

Networks in Finance and Marketing I Networks n Fnance and Marketng I Prof. Dr. Danng Hu Department of Informatcs Unversty of Zurch Nov 26th, 2012 Outlne n Introducton: Networks n Fnance n Stock Correlaton Networks n Stock Ownershp Networks

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

Incorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/15/2017. Behavioral Economics Mark Dean Spring 2017

Incorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/15/2017. Behavioral Economics Mark Dean Spring 2017 Incorrect Belefs Overconfdence Behavoral Economcs Mark Dean Sprng 2017 In objectve EU we assumed that everyone agreed on what the probabltes of dfferent events were In subjectve expected utlty theory we

More information

Lecture 10: Valuation Models (with an Introduction to Capital Budgeting).

Lecture 10: Valuation Models (with an Introduction to Capital Budgeting). Foundatons of Fnance Lecture 10: Valuaton Models (wth an Introducton to Captal Budgetng). I. Readng. II. Introducton. III. Dscounted Cash Flow Models. IV. Relatve Valuaton Approaches. V. Contngent Clam

More information

General Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions

General Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examnaton n Mcroeconomc Theory Fall 2010 1. You have FOUR hours. 2. Answer all questons PLEASE USE A SEPARATE BLUE BOOK FOR EACH QUESTION AND WRITE THE

More information

INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHAPTER 1) WHY STUDY BUSINESS CYCLES? The intellectual challenge: Why is economic growth irregular?

INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHAPTER 1) WHY STUDY BUSINESS CYCLES? The intellectual challenge: Why is economic growth irregular? INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHATER 1) WHY STUDY BUSINESS CYCLES? The ntellectual challenge: Why s economc groth rregular? The socal challenge: Recessons and depressons cause elfare

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

Asset Management. Country Allocation and Mutual Fund Returns

Asset Management. Country Allocation and Mutual Fund Returns Country Allocaton and Mutual Fund Returns By Dr. Lela Heckman, Senor Managng Drector and Dr. John Mulln, Managng Drector Bear Stearns Asset Management Bear Stearns Actve Country Equty Executve Summary

More information

Shock Propagation Through Cross-Learning with Costly Price Acquisition

Shock Propagation Through Cross-Learning with Costly Price Acquisition Shock Propagaton Through Cross-Learnng wth Costly Prce Acquston Jan Schneemeer Indana Unversty - Kelley School of Busness October 23, 2017 Abstract Ths paper shows that cross-learnng from other frms stock

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 A LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 C LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

Hybrid Tail Risk and Expected Stock Returns: When Does the Tail Wag the Dog?

Hybrid Tail Risk and Expected Stock Returns: When Does the Tail Wag the Dog? Hybrd Tal Rsk and Expected Stock Returns: When Does the Tal Wag the Dog? Turan G. Bal, a Nusret Cakc, b and Robert F. Whtelaw c* ABSTRACT Ths paper ntroduces a new, hybrd measure of covarance rsk n the

More information

25.1. Arbitrage Pricing Theory Introduction

25.1. Arbitrage Pricing Theory Introduction NPTEL Course Course Ttle: Securty Analyss and Portfolo Management Course Coordnator: Dr. Jtendra Mahakud Module-13 Sesson-25 Arbtrage Prcng Theory 25.1. Arbtrage Prcng Theory The fundamental prncple of

More information

How diversifiable is firm-specific risk? James Bennett. and. Richard W. Sias * October 20, 2006

How diversifiable is firm-specific risk? James Bennett. and. Richard W. Sias * October 20, 2006 How dversfable s frm-specfc rsk? James Bennett and Rchard W. Sas * October 0, 006 JEL: G0, G, G, G4 Keywords: dversfcaton, dosyncratc rsk * Bennett s from the Department of Accountng and Fnance, Unversty

More information

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013 Page 1 of 11 ASSIGNMENT 1 ST SEMESTER : FINANCIAL MANAGEMENT 3 () CHAPTERS COVERED : CHAPTERS 5, 8 and 9 LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3 DUE DATE : 3:00 p.m. 19 MARCH 2013 TOTAL MARKS : 100 INSTRUCTIONS

More information

Does Stock Return Predictability Imply Improved Asset Allocation and Performance? Evidence from the U.S. Stock Market ( )

Does Stock Return Predictability Imply Improved Asset Allocation and Performance? Evidence from the U.S. Stock Market ( ) Does Stock Return Predctablty Imply Improved Asset Allocaton and Performance? Evdence from the U.S. Stock Market (1954-00) Puneet Handa * Ashsh war ** Current Draft: November, 004 Key words: Predctablty,

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

references Chapters on game theory in Mas-Colell, Whinston and Green

references Chapters on game theory in Mas-Colell, Whinston and Green Syllabus. Prelmnares. Role of game theory n economcs. Normal and extensve form of a game. Game-tree. Informaton partton. Perfect recall. Perfect and mperfect nformaton. Strategy.. Statc games of complete

More information

SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING. Duong Nguyen* Tribhuvan N. Puri*

SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING. Duong Nguyen* Tribhuvan N. Puri* SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING Duong Nguyen* Trbhuvan N. Pur* Address for correspondence: Trbhuvan N. Pur, Professor of Fnance Char, Department of Accountng and Fnance

More information

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

Random Variables. b 2.

Random Variables. b 2. Random Varables Generally the object of an nvestgators nterest s not necessarly the acton n the sample space but rather some functon of t. Techncally a real valued functon or mappng whose doman s the sample

More information

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization CS 234r: Markets for Networks and Crowds Lecture 4 Auctons, Mechansms, and Welfare Maxmzaton Sngle-Item Auctons Suppose we have one or more tems to sell and a pool of potental buyers. How should we decde

More information

Interregional Trade, Industrial Location and. Import Infrastructure*

Interregional Trade, Industrial Location and. Import Infrastructure* Interregonal Trade, Industral Locaton and Import Infrastructure* Toru Kkuch (Kobe Unversty) and Kazumch Iwasa (Kyoto Unversty)** Abstract The purpose of ths study s to llustrate, wth a smple two-regon,

More information

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics Unversty of Illnos Fall 08 ECE 586GT: Problem Set : Problems and Solutons Unqueness of Nash equlbra, zero sum games, evolutonary dynamcs Due: Tuesday, Sept. 5, at begnnng of class Readng: Course notes,

More information

Impact of CDO Tranches on Economic Capital of Credit Portfolios

Impact of CDO Tranches on Economic Capital of Credit Portfolios Impact of CDO Tranches on Economc Captal of Credt Portfolos Ym T. Lee Market & Investment Bankng UnCredt Group Moor House, 120 London Wall London, EC2Y 5ET KEYWORDS: Credt rsk, Collateralzaton Debt Oblgaton,

More information

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model TU Braunschweg - Insttut für Wrtschaftswssenschaften Lehrstuhl Fnanzwrtschaft Maturty Effect on Rsk Measure n a Ratngs-Based Default-Mode Model Marc Gürtler and Drk Hethecker Fnancal Modellng Workshop

More information

THE ECONOMICS OF TAXATION

THE ECONOMICS OF TAXATION THE ECONOMICS OF TAXATION Statc Ramsey Tax School of Economcs, Xamen Unversty Fall 2015 Overvew of Optmal Taxaton Combne lessons on ncdence and effcency costs to analyze optmal desgn of commodty taxes.

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

NYSE Specialists Participation in the Posted Quotes

NYSE Specialists Participation in the Posted Quotes European Journal of Economc and Poltcal Studes NYSE Specalsts Partcpaton n the Posted Quotes Bülent Köksal 1 Abstract: Usng 2001 NYSE system order data n the decmal prcng envronment, we analyze how the

More information

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij 69 APPENDIX 1 RCA Indces In the followng we present some maor RCA ndces reported n the lterature. For addtonal varants and other RCA ndces, Memedovc (1994) and Vollrath (1991) provde more thorough revews.

More information

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods) CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant

More information

Spring 2010 Social Sciences 7418 University of Wisconsin-Madison. The Financial and Economic Crisis Interpreted in a CC-LM Model

Spring 2010 Social Sciences 7418 University of Wisconsin-Madison. The Financial and Economic Crisis Interpreted in a CC-LM Model Publc Affars 854 Menze D. Chnn Sprng 2010 Socal Scences 7418 Unversty of Wsconsn-Madson The Fnancal and Economc Crss Interpreted n a CC-LM Model 1. Background: Typcal Fnancal Crss Source: Mshkn 2. Theory:

More information

Elton, Gruber, Brown and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 4

Elton, Gruber, Brown and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 4 Elton, Gruber, Brown and Goetzmann Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons to Text roblems: Chapter 4 Chapter 4: roblem 1 A. Expected return s the sum of each outcome tmes ts assocated

More information