A Continuous-Time Agency Model of Optimal Contracting and Capital Structure

Size: px
Start display at page:

Download "A Continuous-Time Agency Model of Optimal Contracting and Capital Structure"

Transcription

1 A Coninuous-Time Agency Model of Opimal Conracing and Capial Srucure Peer M. DeMarzo * Graduae School of Business Sanford Universiy Yuliy Sannikov * UC Berkeley This Revision: April 5, 5 ABSTRACT. We explore opimal financing in a seing when he agen can conceal and diver cash flows from a projec, and invesors only means of forcing repaymen is he hrea of erminaion. DeMarzo and Fishman (3) show ha ha an opimal conrac in his seing is a combinaion of credi line, deb and equiy. The credi line gives he agen flexibiliy o run he projec when i emporarily generaes losses, and an equiy sake gives he agen incenives no o diver cash. We look a opimal securiies in deail using he ransparency of coninuous-ime characerizaions. We explore how he opimal credi limi depends on a specific projec, and how marke values of securiies change for he duraion of he projec. We consider an exension in which he mean of cash flows depends on he agen s effor choice. The model provides a simple dynamic heory of securiy design and opimal capial srucure.. Inroducion In his paper, we consider a dynamic conracing environmen in which a risk-neural agen or enrepreneur wih limied resources manages an invesmen aciviy. While he invesmen is profiable, i is also risky, and in he shor-run can generae large losses. The agen will need ouside financial suppor o cover hese losses and coninue he projec. The difficuly is ha while he disribuion of he cash flows is publicly known, he agen may disor hese cash flows by aking a hidden acion ha leads o a privae We would like o hank Mike Fishman for many helpful commens. We are also graeful o Edgardo Barandiaran, Zhiguo He, Han Lee, Gusavo Manso, Nelli Oser, Ricardo Reis, Alexei Tchisyi, Jun Yan, Baozhong Yang as well as seminar paricipans a he Universia Auomaa de Barcelona, UC Berkeley, Universiy of Chicago, Norhwesern Universiy and Washingon Universiy. * Sanford, CA Phone: , pdemarzo@sanford.edu. * 593 Evans Hall, Berkeley, CA Phone: , sannikov@econ.berkeley.edu.

2 benefi. Specifically, he agen may (i) conceal and diver cash flows for his own consumpion, and/or (ii) sop providing cosly effor, which reduces he mean of he cash flows. Therefore, from he perspecive of he principal or invesors funding he projec, here is he concern ha a low cash flow realizaion may be a resul of he agen s acions, raher han he projec fundamenals. To provide he agen wih appropriae incenives, invesors conrol he agen s wage, and may wihdraw heir financial suppor for he projec and force is early erminaion. We seek o characerize an opimal conrac in his framework and relae i o he firm s choice of capial srucure. DeMarzo and Fishman (3), hereafer denoed DF, consider a discree-ime model of his sor. Using a dynamic-programming approach DF show ha an opimal conrac is a combinaion of a credi line, deb and equiy. Dividends are paid when cash flows exceed deb paymens and he credi line is paid off. If deb service paymens are no made or he credi line is overdrawn, he projec is erminaed wih a probabiliy ha depends on he size of he cash shorfall. The defining feaure of his conrac is a credi limi, which can be found by compuing a fixed poin of a Bellman equaion in a discree-ime model. The coninuous-ime model of his paper has an alernaive convenien way o compue an opimal conrac using an ordinary differenial equaion. Using a coninuous-ime characerizaion, we explore he opimal conrac in more deail. We are able o show how he opimal credi limi depends on he disribuion of he projec s cash flows and he consequences of liquidaion. We describe he dynamics of securiy prices. In addiion, we also derive resuls abou how opimal projec selecion depends on he credi line balance. In all cases our differenial equaion characerizaion proves very useful for he analysis. In our coninuous-ime seing he cumulaive cash flows generaed by he projec follow a Brownian moion wih a posiive drif. We derive he opimal conrac using coninuous-ime echniques inroduced by Sannikov (3). Two differences emerge beween he opimal conracs in discree and coninuous ime. Firs, erminaion is no longer sochasic in coninuous ime, bu occurs he momen he credi line is overdrawn or here is a defaul on he long-erm deb. Second, because he projec can generae large shor-erm losses, projecs ha are very risky will no use long-erm deb bu insead require a compensaing balance wih he credi line. (A compensaing balance is a cash deposi ha he firm mus hold wih he lender o mainain he credi line.) The compensaing balance serves wo roles: i allows for a larger credi line, which is valuable given he risk of he projec; and i provides an inflow of ineres paymens o he projec ha can be used o somewha offse operaing losses. The model herefore provides an explanaion for why firms migh hold subsanial cash balances a low ineres raes while simulaneously borrowing a higher raes. For he bulk of our analysis, we focus on he case in which he agen can conceal and diver cash flows. We show in Secion 4 ha he characerizaion of he opimal conrac is unchanged if he agen makes a hidden binary effor choice. We also consider he possibiliy of conrac renegoiaion in Secion 5, and characerize he opimal renegoiaion-proof conrac... Relaed Lieraure. Our paper is par of a growing lieraure on dynamic opimal conracing models using recursive echniques ha began wih Green (987), Spear and Srivasava (987), Phelan

3 and Townsend (99), and Akeson (99) among ohers. (See, for example, he ex by Ljungqvis and Sargen () for a descripion of many of hese models.) As previously menioned, his paper builds direcly on he model of DeMarzo and Fishman (3). Oher recen work developing opimal dynamic agency models of he firm includes Albuquerque and Hopenhayn (), Clemeni and Hopenhayn (), DeMarzo and Fishman (3b), and Quadrini (). Wih he excepion of DeMarzo and Fishman (3), hese papers do no share our focus on an opimal capial srucure. In addiion, none of hese models are formulaed in coninuous ime. While discree ime models are adequae concepually, in many cases a coninuous-ime seing may prove o be much simpler and more convenien analyically. An imporan example of his is he principal-agen model of Holmsrom and Milgrom (987), hereafer HM, in which he opimal coninuous-ime conrac is shown o be linear. Schaler and Sung (993) develop a more general mahemaical framework for analyzing agency problems of his sor in coninuous ime, and Sung (995) allows he agen o conrol volailiy as well. Hellwig and Schmid () look a he condiions for a discree-ime principal-agen model o converge o he HM soluion. See also Bolon and Harris (), Ou-yang (3), Deemple, Govindaraj and Loewensein (), Cadenillas, Cviannic and Zapaero (3) for furher generalizaion and analysis of he HM seing. Several feaures disinguish our model from he HM problem: he invesor's abiliy o erminae he projec, he agen's consumpion while he projec is running, and he naure of he agency problem. In HM, he agen runs he projec unil dae T, and hen receives compensaion. In our model, he agen receives compensaion many imes while he projec is running, unil he conrac calls for he agen s erminaion. Also, HM analyze a seing in which he agen akes hidden acions. In our main seing he agen observes privae payoff-relevan informaion; we also consider he possibiliy of a binary hidden acion choice. Unlike HM, he erminaion decision is a key feaure of he opimal conrac in our seing. Here, as in DF, we demonsrae how his decision can be implemened hrough bankrupcy. Sannikov (3) and Williams (4) analyze principal-agen models, in which he principal and he agen inerac dynamically. Their ineracion is characerized by evolving sae variables. In heir models, he agen coninuously chooses acions (e.g. hidden effor) ha are no direcly observable o he principal, and he principal akes acions (e.g. paymens o he agen) ha affec he agen's payoff. Besides having a dynamic naure in he spiri of Sannikov (3) and Williams (4), our paper develops a new mehod o deal wih he problem of privae observaions in coninuous ime. Also, unlike in Sannikov (3) and Williams (4), hidden savings do no pose any addiional difficulies in our model. We derive an opimal conrac in a seing wihou hidden savings, and verify ha i remains incenive compaible even when he agen can save secrely. In conemporaneous work, Biais e al. (4) consider a dynamic principal-agen problem in which he agen s effor choice is binary (work or shirk). While hey do no formulae he problem in coninuous ime, hey do exam he coninuous limi of he Spear and Wang () also analyze he decision of when o fire an agen in a discree-ime model. They do no consider he implemenaion of he decision hrough sandard securiies.

4 discree-ime model and focus on he implicaions for he firm s balance shee. As we show in Secion 4, heir seing is a special case of our model and our characerizaion of he opimal conrac applies. This paper is organized as follows. Secion presens a coninuous-ime model. Afer ha, i derives an opimal conrac and is implemenaion wih sandard securiies: credi line, deb and equiy. In Secion 3 we analyze he properies of an opimal conrac, providing characerizaions ha canno be obained in a discree-ime seing. Secions 4 shows he opimaliy of our conrac wih hidden binary effor. Secion 5 analyzes renegoiaion-proof conracs and he issue of robusness. Secion 6 concludes he paper.. The Seing and he Opimal Conrac In his secion we describe a coninuous-ime formulaion of he conracing problem ha arises when he agen privaely observes he cash flows of he projec ha he manages on invesors behalf. We hen solve he model and derive an opimal conrac. We use a dynamic programming approach. The ulimae form of an opimal conrac is analogous o ha in discree ime, bu he echniques o derive i are somewha differen. The derivaion employs a HJB equaion, which is analogous o he Bellman equaion in discree ime, subjec o incenive compaibiliy and promise keeping condiions. The main conribuion of his secion is mehodological: o formulae he model in coninuous ime and derive an opimal conrac. We hen show how o implemen he opimal conrac hrough a choice of capial srucure, where we allow he agen o conrol he firm s payou policy. While he form of an opimal conrac and is implemenaion urns ou o be similar o ha in he discree-ime model of DeMarzo and Fishman (3), we will see ha an opimal conrac has a sharper characerizaion in coninuous ime, which can be exploied o derive comparaive saics resuls and analyze exensions in he following secions... The Dynamic Agency Model The agen manages a projec ha generaes sochasic cash flows wih mean µ and variance σ dy = µ d + σ dz, where Z is a sandard Brownian moion. The agen observes he acual cash flows Y, bu he principal does no. The agen makes a repor { Yˆ ; } of he realized cash flows o he principal. The principal does no know wheher he agen is lying or elling he ruh. The principal receives he repored cash flows dŷ from he agen and gives him back ransfers of di ha are based on he agen s repors. Formally, he agen s income process I is non-decreasing and Y ˆ-measurable. If he agen underrepors realized cash flows, he seals he difference. Sealing may be cosly: he agen is able o enjoy only a fracion λ 3

5 (,] of wha he seals. Also, he agen can over-repor and pu his own money back ino he projec. As a resul, he agen receives a flow of income of [ ˆ λ dy dy] + di, where ˆ λ [ dy ] ( ˆ) ( ˆ dy λ dy dy dy dy) sealing + over-reporing To make sure ha he agen does no receive income of minus infiniy, we assume ha process Y ˆ Y has o have bounded variaion. The agen is risk-neural and discouns his consumpion a rae γ. This coninues unil a erminaion ime ha is conracually specified by he principal. The agen mainains a privae savings accoun, from which he consumes and ino which he deposis his income. The principal canno observe he balance of he agen s savings accoun. The agen s balance S grows a ineres rae ρ < γ: [ ˆ λ ds =ρ S d + dy dy ] + di dc, () where dc is he agen s consumpion a ime, which mus be nonnegaive. The agen mus mainain a nonnegaive balance on his accoun, i.e. S. Once he conrac is erminaed, he agen receives payoff R from an ouside opion. Therefore, he agen s oal expeced payoff from he conrac a dae is given by 3 γs γ W = E e dc s + e R. (3) The principal discouns cash flows a rae r, such ha γ > r ρ. 4 Once he conrac is erminaed, she receives expeced liquidaion payoff L. The principal s oal expeced profi a dae is rs ˆ r b = E e ( dy ) s dis + e L. The projec requires exernal capial of K o be sared. The principal offers o conribue his capial in exchange for a conrac (, I) which specifies a erminaion ime and paymens {I ; } ha are based on repors Y ˆ. Formally, I is a Y ˆ-measurable coninuous process, and is a Y ˆ-measurable sopping ime. () Noe ha () implies ha he agen pays a proporional cos ( λ) o diver funds, bu does no recover he cos if he funds are pu back ino he firm. We could also allow he agen o conceal and save funds wihin he firm, avoiding he cos ( λ) if he funds are ulimaely used o boos fuure repored cash flows (i.e., he cos is only paid if he funds are divered o he agen s personal consumpion). This change would no aler he resuls in any way. 3 We can ignore consumpion beyond dae because γ r implies i is opimal for he agen o consume all savings a erminaion (i.e., S = ). 4 Typically for a borrowing-consrained agen he ineremporal marginal rae of subsiuion is greaer han he marke ineres rae r. To represen he idea ha he agen is borrowing-consrained in a risk-neural seing, we assume ha γ > r. (The case γ = r requires eiher a finie horizon seing or inroducing a bound on he magniude of he projec s per period operaing losses; oherwise i is opimal o pospone he agen s consumpion indefiniely.) 4

6 In response o a conrac (, I), he agen chooses a sraegy. A feasible sraegy is a pair of processes (C, Y ˆ ) adaped o Y, such ha (i) process Y Y ˆ has bounded variaion, (ii) process C is nondecreasing, and (iii) he savings process, defined by (), says nonnegaive. The agen chooses a feasible sraegy o maximize his expeced payoff. Therefore, he agen s sraegy (C, Y ˆ ) is incenive compaible if i maximizes his oal expeced payoff W given a conrac (, I). An incenive compaible conrac refers o a quadruple (, I, C, Ŷ) ha includes he agen s recommended sraegies. We have no explicily modeled he agen s opion o qui and receive he ouside opion R a any ime. We could incorporae his by including an individual raionaliy consrain requiring ha he agen s fuure payoff from coninuing a dae, W, is no worse han his ouside opion R for all. However, in our seing his is no necessary as he individual raionaliy consrain will never bind. The agen can always under-repor and seal a rae γ R unil erminaion o obain a payoff of R or greaer. Thus any incenive compaible sraegy yields he agen a leas R. The opimal conracing problem is o find an incenive-compaible conrac (, I, C, Ŷ) ha maximizes he principal s profi subjec o delivering o he agen an iniial required payoff W. By varying W we can use his soluion o consider differen divisions of bargaining power beween he agen and he invesors. Remark. For simpliciy, we have specified he conrac assuming he agen's income I and he erminaion ime are deermined uniquely by he agen's repor. While his assumpion rules ou public randomizaion, because he principal's value funcion urns ou o be concave (Proposiion ), public randomizaion would no improve he conrac and his assumpion is wihou loss of generaliy. In secion 5, however, we inroduce public randomizaion when considering renegoiaion-proof conracs... Derivaion of he Opimal Conrac We solve he problem of finding an opimal conrac in several seps. Firs, we show ha i is sufficien o look for an opimal conrac wihin a smaller class of conracs, namely conracs in which he agen chooses o repor cash flows ruhfully and mainain zero savings. Thus we consider a relaxed problem by ignoring he possibiliy ha he agen can save secrely. Our derivaion of an opimal conrac for he relaxed problem follows he framework of he discree-ime opimal conracing lieraure. Along he way we explain he echniques from sochasic calculus ha we need in coninuous ime. Finally, we show ha he conrac is fully incenive compaible even when he agen can save secrely. We begin wih a revelaion principle ype of resul: LEMMA A. There exiss an opimal conrac in which he agen chooses o ell he ruh, and mainains zero savings. 5

7 PROOF: See Appendix. The inuiion for his resul is sraighforward i is inefficien for he agen o conceal and diver cash flows (λ ) or o save hem (ρ r). We can improve he conrac by having he invesors save and make direc paymens o he agen. Thus, we can look for an opimal conrac in which ruh elling and zero savings is incenive compaible. The Opimal Conrac wihou Saving Noe ha if he agen could no save, hen he would no be able o over-repor cash flows and would consume all income as i is received. Thus, dc = di +λ( dy dyˆ ). (4) We can relax he problem by resricing he agen s savings so ha (4) holds. Afer we find an opimal conrac for he relaxed problem, we show ha i remains incenivecompaible even if he agen can save secrely. One difficuly wih working in a dynamic seing is he complexiy of he conrac space. The conrac can depend on he enire pah of repored cash flows Y ˆ, making i difficul o evaluae he agen s incenives in a racable way. Our firs ask is o find a convenien represenaion for he agen s incenives. To do so, define he agen s promised value W (Ŷ) afer a hisory of repors (Ŷ s, s ) o be he oal expeced payoff he agen receives, from ransfers and erminaion uiliy, if he ells he ruh afer ime : ˆ γ( s ) γ( ) W( Y) = E e dis + e R The following resul provides a useful represenaion for W (Ŷ). LEMMA B. A any momen of ime here is a sensiiviy β (Ŷ) of he agen s coninuaion value owards his repor such ha dw ( ˆ)( ˆ = γwd di +β Y dy µ d) (5) This sensiiviy β (Ŷ) is deermined by he agen s pas repors Ŷ s, s. PROOF: Noe ha W (Ŷ) is also he agen s promised value if Ŷ s, s were he rue cash flows and he agen repored ruhfully. Therefore, wihou loss of generaliy we can prove (5) for he case when he agen ruhfully repors Ŷ = Y. In ha case, γ s γ = s + V e di ( Y) e W ( Y) (6) is a maringale and by he maringale represenaion heorem here is a process β such ha dv = e γ β (Y) (dy µ d), where dy µ d is a muliple of he sandard Brownian moion. Differeniaing (6) wih respec o we find and hus (5) holds. γ γ γ γ dv = e β ( Y )( Y µ d) = e di ( Y ) γ e W ( Y ) d + e dw ( Y ) 6

8 Informally, he agen has incenives no o seal cash flows if he ges a leas λ of promised value for each repored dollar, i.e. if β λ. If his condiion holds for all hen he agen s payoff will always inegrae o less han his promised value if he deviaes. If his condiion fails on a se of posiive measure, he agen can obain a leas a lile bi more han his promised value if he underrepors cash when β < λ. We summarize our conclusions in he following proposiion. LEMMA C. If he agen canno save, ruh-elling is incenive compaible if and only if β λ for all. PROOF: If he agen seals dy dyˆ a ime, he gains immediae income of λ( dy ˆ dy) bu loses β ( ˆ dy dy) in coninuaion payoff. Therefore, he payoff from reporing sraegy Ŷ gives he agen he payoff of ˆ ˆ γ γ W + E e λ( dy dy) + e β( dy dy), (7) where W denoes he agen s payoff under ruh-elling. We see ha if β λ for all hen (7) is maximized when he agen chooses dyˆ = dy, since he agen canno over-repor cash flows. If β < λ on a se of posiive measure, hen he agen is beer off underreporing on his se han always elling he ruh. 5 Now we use he dynamic programming approach o deermine he mos profiable way for he principal o deliver o he agen any value W. We presen an informal argumen, which is formalized in he proof of Proposiion. Denoe by b(w) he principal s value funcion (he highes profi o he principal ha can be obained from a conrac ha provides he agen wih payoff W). To faciliae our derivaion of b, we assume b is concave. In fac, we could always ensure ha b is concave by allowing public randomizaion, bu a he end of our inuiive argumen we will see ha public randomizaion is no needed in an opimal conrac. 6 Because he principal has he opion o provide he agen wih W by paying a lump-sum ransfer of di > and moving o he opimal conrac wih payoff W di, bw ( ) bw ( di) di. (8) Equaion (8) implies ha b (W) for all W; ha is, he marginal cos of compensaing he agen can never exceed he cos of an immediae ransfer. Define W as he lowes value such ha b (W ) =. Then i is opimal o pay he agen according o = max(,) (9) di W W 5 The agen s repor affecs β. How do we know ha lying does no aler β o be always greaer han or equal o λ, whereas we had β <λ on a se of posiive measure under ruhelling? One way he agen can lie is by reporing dŷ = dy d when β <λ and elling he ruh when β λ. Then he probabiliy measure over he agen s repors has he same posiive probabiliy evens as he measure over he rue cash flows, so β(ŷ) λ on se of posiive measure even afer a deviaion. 6 Given he lineariy of he incenive compaibiliy condiion, public randomizaion would only be useful for allowing sochasic erminaion of he conrac. 7

9 These ransfers, and he opion o erminae, keep he agen s promised value beween R and W. Wihin his range, equaion (5) implies ha he agen s promised value evolves according o dw =γ Wd +βσ dz when he agen is elling he ruh. We need o deermine he sensiiviy β of he agen s value o repored cash flows. Using Io s lemma, he principal s expeced cash flows and changes in conrac value are given by ( ) EdY [ + dbw ( )] = µ+γ Wb'( W) + β σ b''( W) d Because a he opimum he principal should earn an insananeous oal reurn equal o he discoun rae, r, we have he following Bellman equaion for he value funcion: rb( W ) = max µ+γ Wb '( W ) + β σ b''( W ) () β λ Given he concaviy of b, b (W) and so β = λ is opimal. 7 Inuiively, because he inefficiency in his model resuls from early erminaion, reducing he risk o he agen lowers he probabiliy ha he agen s promised value falls o R. The principal s value funcion herefore saisfies he following second-order ordinary differenial equaion: rb( W ) =µ+γ Wb '( W ) + λ σ b''( W ), R W W, () wih b(w) = b(w ) (W W ) for W > W. We need hree boundary condiions o pin down a soluion o his equaion and he boundary W. The firs boundary condiion arises because he principal mus erminae he conrac o hold he agen s value o R, so b(r) = L. The second boundary condiion is he usual smooh pasing condiion he firs derivaives mus agree a he boundary, and so b (W ) =. 8 The final boundary condiion is he super conac condiion for he opimaliy of W, which requires ha he second derivaives mach a he boundary. This condiion implies ha b (W ) =, or equivalenly, using equaion (), rb( W ) +γ W =µ. () This boundary condiion has a naural inerpreaion. I is beneficial o pospone paymen o he agen by making W larger because i reduces he risk of early erminaion. Posponing paymen is sensible unil he boundary (), when he principal and agen s required expeced reurns exhaus he available expeced cash flows. 9 An example of he value funcion is shown in Figure. 7 In fac, we show in he proof ha b(w) is sricly concave for W W (see also foonoe 9), so ha β = λ is he unique opimum. 8 Roughly speaking, if here were a kink a W, b (W ) = and () could no be saisfied. 9 A similar argumen can be used o show ha public randomizaion is no useful. If i were, hen b would be linear (b = ) in he region in which i is used. A a boundary w of his region, he super conac condiion would require b (w) = and so rb(w) = µ + γwb (w). Bu b (w) implies rb(w) + γw µ, and hus w > W. Thus, b is sricly concave on [R, W ] and here is no role for public randomizaion. 8

10 µ r b, invesor s payoff Firs bes (b = µ /r W) rb = µ γw rb=µ- W b +½λ σ b L Slope b = R W W, agen s payoff Figure : The Principal s Value Funcion b(w) The following proposiion formalizes our findings: PROPOSITION. The conrac ha maximizes he principal s profi and delivers o he agen value W [R, W ] akes he following form: W evolves as dw =γwd di +λ( dyˆ µ d). (3) When W [R, W ), di =. When W = W, paymens di cause W o reflec a W. If W > W, an immediae paymen W W is made. The conrac is erminaed a ime when W his R. The principal s expeced payoff a any poin is given by a concave funcion b(w ), which saisfies rb( W ) =µ+γ Wb '( W ) + λ σ b''( W ) (4) on he inerval [R, W ] and b '( W ) = for W W, wih boundary condiions b(r) = L and rb(w ) = µ γw. PROOF: See Appendix. Hidden Savings Thus far, we have resriced he agen from saving. We now show ha he conrac of Proposiion remains incenive compaible even when we relax his resricion. The inuiion for he resul is ha because he marginal benefi o he agen of reporing or consuming cash is consan over ime, and since privae savings grow a rae ρ < γ, here is no incenive o delay reporing or consumpion. In fac, in he proof we show ha his resul holds even if he agen can save wihin he firm wihou paying he diversion cos. PROPOSITION. Suppose he process W is bounded above and solves dw =γwd di d +λ( dyˆ µ d). (5) 9

11 unil sopping ime = min{ W = R}. Then he agen earns payoff of a mos W from any feasible sraegy in response o a conrac (, I). Furhermore, payoff W is aained if he agen repors ruhfully and mainains zero savings. PROOF: See Appendix. This resul confirms ha conracs from a broad class, including he opimal conrac of Proposiion, remain incenive-compaible even if he agen has access o hidden savings. Proposiion will help us characerize incenive-compaible capial srucures in he nex subsecion..3. Capial Srucure Implemenaion The opimal conrac in our seing depends upon he hisory of repored cash flows. This hisory dependence is capured hrough he promised payoff W o he agen. In his secion, we show ha he opimal conrac can be implemened using sandard securiies: equiy, long-erm deb, and a credi line. We begin by describing hese securiies. Equiy. Equiy holders receive dividend paymens made by he firm. Dividends are paid from he firm s available cash or credi, and are a he discreion of he agen. Long-erm Deb. Long-erm deb is a consol bond ha pays coninuous coupons a rae x. Wihou loss of generaliy, we le he coupon rae be r, so ha he face value of he deb is D = x/r. If he firm defauls on a coupon paymen, deb holders force erminaion of he projec. Credi Line. A revolving credi line provides he firm wih available credi up o a limi C L. Balances on he credi line are charged a fixed ineres rae r c. The firm borrows and repays funds on he credi line a he discreion of he agen. If he balance on he credi line exceeds C L, he firm defauls and he projec is erminaed. We now show ha he opimal conrac can be implemened using a capial srucure based on hese hree securiies. While he implemenaion is no unique (e.g., one could always use he single conrac derived in Secion., or srip he long-erm deb ino zero-coupon bonds), i provides a naural inerpreaion. I also demonsraes how he conrac can be decenralized ino limied liabiliy securiies (equiy and deb) ha can be widely held by invesors. Finally, i shows ha he opimal conrac is consisen wih a capial srucure in which, in addiion o he abiliy o seal he cash flows, he agen has wide discreion regarding he firm s leverage and payou policy he agen can choose when o draw on or repay he credi line, he amoun of dividends, and wheher o accumulae cash balances (earning ineres r) wihin he firm. Before saing our main resul, we noe ha while i will be imporan for he pricing of he securiies, for purposes of implemenaion i is no necessary o specify he prioriizaion of he securiies over he liquidaion payoff L in he even of erminaion. We will, however, compensae he agen wih equiy, and i is imporan ha he agen does no receive par of he liquidaion payoff. Thus, we define inside equiy as idenical o equiy, bu wih he provision ha i is worhless in he even of erminaion. (Wih Inside equiy could correspond o a sock gran o he agen combined wih a zero ineres loan due upon erminaion ha equals or exceeds he liquidaion value of he equiy.

12 absolue prioriy, his disincion will ofen be unnecessary, as deb holders claims will ypically exhaus L.) PROPOSITION 3. Consider a capial srucure in which he agen holds inside equiy for fracion λ of he firm, he credi line has ineres rae r c = γ, and deb saisfies L rd = µ γr/ λ γ C. (6) Then i is incenive compaible for he agen o refrain from sealing, and o use he projec cash flows o pay he deb coupons and credi line before issuing dividends. Once he credi line is fully repaid, all excess cash flows are issued as dividends. Wih his capial srucure, he agen s expeced fuure payoff W is deermined by he curren draw M on he credi line: L ( ) W = R+λ C M. (7) This capial srucure implemens he opimal conrac if, in addiion, he credi limi saisfies C L = λ (W R). (8) PROOF: See Appendix. The inuiion for he incenive compaibiliy of his capial srucure is as follows. Firs, providing he agen wih he fracion λ of he equiy eliminaes his incenive o seal cash flows because he can do as well by paying dividends. Bu how can we ensure ha he agen does no pay dividends premaurely by, for example, drawing down he credi line immediaely and paying a large dividend? Given balance M on he credi line, he agen can pay a dividend of C L M and hen defaul. Bu if (7) holds, he payoff from deviaing in his way is equal o he payoff W ha he agen receives from paying off he credi line before paying dividends, and so here is no incenive o deviae. Finally, because he agen earns ineres a his discoun rae γ paying off he credi line, bu earns ineres a rae r < γ on accumulaed cash, he agen has he incenive o pay dividends once he credi line is repaid. The role of he long-erm deb, defined by (6), is o adjus he profi rae of he firm so ha he agen s payoff does indeed saisfy equaion (7). If he deb were oo high, he agen s payoff would be below he amoun in (7), and he agen would draw down he credi line immediaely. If he deb is oo low and he firm s profi rae oo high, he agen would build up cash reserves afer he credi line was paid off in order o reduce he risk of erminaion. Thus, as long as (6) holds, we say he capial srucure is incenive compaible he agen will no seal and will pay dividends if and only if he credi line is fully repaid. Under wha condiions does his capial srucure implemen he opimal conrac of secion.? Noe ha he hisory dependence of he opimal conrac is implemened One can rewrie (6) as λ (µ rd γc L ) = γr, which saes ha he agen s share of he firm s profi rae (afer ineres paymens) maches he agen s ouside opion when he credi line is exhaused.

13 hrough he credi line, wih he balance on he credi line acing as he memory device o rack he agen s payoff W. In he opimal conrac, he agen is paid in order o keep he promised payoff from exceeding W. Here, dividends are paid when he balance on he credi line M =. For he capial srucure o implemen he opimal conrac, hese condiions mus coincide. Solving equaion (7) for C L leads o he opimaliy condiion C L = λ (W R). There is no guaranee ha in his capial srucure he deb required by equaion (6) is posiive. If D <, we inerpre he deb as a compensaing balance. A compensaing balance is a cash deposi required by he bank issuing he credi line. The firm earns ineres on his balance a rae r, and he ineres supplemens he firm s cash flows. The firm canno wihdraw his cash, and i is seized by crediors in he even of defaul. We will examine he seings in which a compensaing balance arises in he nex secion. The implemenaion here is very similar o he implemenaion shown in he discree-ime model of DeMarzo and Fishman (3). There are hree imporan disincions. Firs, because cash flows arrive in discree porions, he erminaion decision is sochasic in he discree-ime seing (i.e. he principal randomizes when he agen defauls). Second, because cash flows may be arbirarily negaive in a coninuous-ime seing, he conrac may involve a compensaing balance requiremen as opposed o deb. Lasly, he discree-ime framework does no allow for a characerizaion of he incenive compaibiliy condiion for he capial srucure in erms of he primiives of he model, as we do here. 3. Opimal Capial Srucure and Securiy Prices The capial srucure implemenaion of he opimal conrac inspires many ineresing quesions. Wha facors deermine he amoun ha he agen borrows? When will he agen borrow for iniial consumpion? When is here a compensaing balance? Wha is he opimal lengh of he credi line? How do marke values of securiies involved in he conrac depend on he firm s remaining credi? In his secion, we exploi he coninuous-ime machinery o answer hese quesions and provide new insighs. 3.. The Deb Choice A key feaure of he opimal capial srucure is is use of boh fixed long-erm deb and a revolving credi line. In his secion we develop furher inuiion for how he amoun of long-erm deb, he size of he credi line, and he iniial draw on he credi line are deermined. To simplify he analysis, we focus on he case λ = in which here is no cos o divering cash flows. In his case, he agen holds he equiy of he firm, and finances he firm solely hrough deb. While his case migh appear resricive, he following resul shows ha he opimal deb srucure wih lower levels of λ can be deermined by considering an appropriae change o he erminaion payoffs. An alernaive implemenaion is given in Shim (4) and Biais e al. (4) for a specialized seing. Raher han a credi line, hey suppose he firm reains a cash reserve and ha he coupon paymen on he deb varies conracually wih he level of he cash reserves.

14 PROPOSITION 4. The opimal deb and credi line wih agency parameer and erminaion payoffs (λ, R, L) are he same as wih parameers (, R λ, L λ ) where R λ λ = λ R and L = λ L+ ( λ) r. µ PROOF: See Appendix. When λ =, he opimal credi limi is C L = W R. The opimal level of deb is hen deermined by (6), which in his case can be wrien rd = µ γr γc L = µ γw Recall also ha in he opimal conrac, W is deermined by he boundary condiion (): rb(w ) + γw = µ Combining hese wo resuls implies ha he opimal face value of deb is D = b(w ). Figure shows an example, illusraing he size of he credi line and he deb face value when he cash flow volailiy is low. From he figure, D > L, so he deb is risky. Invesors Payoff b r b + γw = µ (W, D) (R, L) Deb b (W) = (W, K) Credi Line W W Agen s Payoff W Figure : The Opimal Conrac wih Low Volailiy (L = 5, R =, µ =, σ = 5, r = %, γ = 5%, λ =, K = 3) Noe ha he opimal capial srucure for he firm does no depend on he exernal capial K ha is required. However, he iniial payoffs of he agen and he invesors depend upon K as well as he paries relaive bargaining power. For example, if invesors are compeiive, he agen s iniial payoff is he maximal payoff W such ha b(w ) = K as 3

15 illusraed in Figure. In his example, W > W. This payoff is achieved by giving he agen an iniial cash paymen of W W, and saring he firm wih zero balance on he credi line (providing he agen wih coninuaion payoff W ). In oher words, he firm iniiaes he credi line and issues he long-erm deb. The capial raised is used o fund he projec and pay an iniial dividend of W W. The credi line is hen used as needed o cover operaing losses. Thus, he iniial capial ha is raised from invesors is b(w ), which is equal o he face value of he deb D. However, he deb is risky (D > L) and so, given coupon rae r, rades a a discoun o is face value. How does he firm raise he addiional capial o make up for his discoun? Given he high ineres rae γ on he credi line, he lender earns an expeced profi from he credi line, and so will pay his o he firm upfron. This paymen exacly offses he iniial discoun on he long-erm deb due o credi risk. Recall ha he opimal credi line resuls from he following rade-off: a large credi line delays he agen s consumpion, bu also gives more flexibiliy o delay erminaion. Paymens on deb are chosen o give he agen incenives o repor ruhfully: if paymens on deb were oo burdensome, he agen would draw down he credi line immediaely and qui he firm; if hey were oo small, he agen would delay erminaion by saving excess cash flows when he credi line is paid off. In Figure 3, we illusrae how hese inuiive consideraions affec he opimal conrac for differen levels of volailiy. Wih an increase in volailiy, he principal s profi funcion drops. Riskier cash flows require more financial flexibiliy, so he credi line becomes longer. Given he higher ineres burden of he longer credi line, he opimal level of deb shrinks. Wih medium volailiy (as shown in he lef panel of Figure 3), he face value of he deb is below he liquidaion value of he firm (D < L). Thus, if he long-erm deb has prioriy in defaul, i is now riskless. The firm will herefore raise D hrough he long-erm deb issue. However, in his case D < K. The addiional capial needed o iniiae he projec is raised hrough an iniial draw on he credi line of W W. Because b > on (W, W ), he draw on he credi line exceeds K D. The difference can be inerpreed as an iniial fee charged by he lender o open he credi line wih his iniial balance; his fee compensaes he lender for he negaive NPV of he credi line due o he firm s greaer credi risk. 4

16 Invesors Payoff b r b + γw = µ Invesors Payoff b r b + γw = µ (R, L) (W, K) (W, D) 3 (R, L) (W, K) Deb Credi Line W W Agen s Payoff W Credi Line W Compensaing 8 9 W Balance (W, D) Figure 3: The Opimal Conrac wih Medium and High Volailiy (σ =.5, σ = 9.7) Wih high volailiy (as shown in he righ panel of Figure 3), he principal s profi falls furher. This very risky projec requires a very long credi line. Noe ha in his case D = b(w ) <. Thus, he credi line has a compensaing balance requiremen he firm mus hold cash in he bank equal o D as a condiion of he credi line. Boh he required capial K and he compensaing balance D are funded hrough a large iniial draw of W W on he credi line. Given his large iniial draw, subsanial profis mus be earned before dividends will be paid. The compensaing balance provides addiional operaing income of rd o he firm. This income increases he araciveness of he projec o he agen, prevening he agen from leaving he firm when he balance on he credi line is high. By funding he compensaing balance upfron, invesors are commied o providing he firm wih income rd even when he credi line is paid off. This commimen is necessary since invesors coninuaion payoff a W is negaive, which would violae heir limied liabiliy. The compensaing balance herefore serves o ie he agen and he invesors o he firm in an opimal way. Finally, noe ha if we increase volailiy furher in his example, he maximal profi for he principal falls below K. Thus, while such a projec is posiive NPV, i canno be financed due o he incenive consrains. Remark. While we have derived he agen s iniial payoff assuming invesors are compeiive, oher possibiliies are sraighforward o consider. For example, if he principal were a monopolis hiring he agen o run he firm, he conrac would be iniiaed a he value W ha maximizes he principal s payoff b(w ). This would no change he opimal deb and credi limi, bu in his case he firm would always sar wih a draw on he credi line. Ineresingly, as can be seen in by comparing Figure and 5

17 Figure 3, while higher volailiy decreases b(w ), he effec on he agen s payoff W is no monoonic. Thus he agen migh prefer o manage a higher risk projec. 3.. Comparaive Saics How do he credi line, deb, and he agen s and invesors iniial payoff depend on he parameers of he model? In he discree-ime seing, many of hese comparaive saics are analyically inracable, and mus be compued for a specific example. A key advanage of he coninuous ime framework is ha we can use he differenial equaion ha characerizes he opimal conrac o compue hese comparaive saics analyically. Here we ouline a new mehodology for explicily calculaing comparaives saics. Deails are in he Appendix. Firs, we derive he effec of parameers on he principal s profi. We sar wih he HJB equaion for he principal s profi for a fixed credi line, which is represened by he inerval [R, W ]: rb( W ) =µ+γ Wb '( W ) + λ σ b''( W ) The effec of any parameer θ on he principal s profi can be found by differeniaing he HJB equaion and is boundary condiions wih respec o θ. During differeniaion we keep W fixed, which is jusified by he envelope heorem. As a resul, we ge an ordinary differenial equaion for bw ( ) / θwih appropriae boundary condiions. We apply a generalizaion of he Feynman-Kac formula o wrie he soluion as an expecaion bw ( ) r µ γ ( λ σ ) r L = E e + Wb '( W) + b''( W) d+ e W = W θ (9) θ θ θ θ where dw =γwd di +λ dz as before. Inuiively, equaion (9) couns how much profi is gained or los on he pah of W due o he modificaion of parameers. For example, bw ( ) r = E e W = W, L which is expeced discouned value of a dollar a liquidaion ime. Once we know he effec of parameers on he principal s profi, we deduce heir effec on he deb and credi line by differeniaing he boundary condiion rb(w ) + γw = µ, and on he agen s saring value by differeniaing b(w ) = K (or b (W ) = when he principal is a monopolis). For example, he effec of L is found as follows: bw ( ) W W W r r r + b'( W ) +γ = = E e W = W <. L L L L γ r As L increases, inefficiency of liquidaion declines, so a shorer credi line opimally provides less financial flexibiliy for he projec. By similar mehods, we can quanify he impac of he model parameers on he main feaures of an opimal conrac. The derivaions are carried ou in he appendix. 6

18 dc L / dd/ dw / dw / db(w )/ dl dr 3 + dγ ± dµ dσ + ± dλ ± 4 + ± Table : Comparaive Saics for he Opimal Conrac While he analyic derivaion of hese resuls is echnically involved, he inuiion behind hem is clear. Consider he effec of parameers on he credi line and deb. We already know ha he credi line decreases as L increases, because i makes liquidaion less inefficien. This reduces he agen s empaion o draw he enire credi line and defaul, so he principal can exrac greaer coupon paymens on deb. If he agen s ouside opion R increases, he agen becomes more emped o draw down he credi line. The lengh of he credi line decreases o reduce his empaion, and paymens on deb decrease o make i more aracive for he agen o run he projec, as opposed o aking he ouside opion. If he mean of cash flows µ increases, he credi line increases o delay erminaion and deb increases because he principal can exrac more cash flows from he agen. If he agen s discoun rae γ increases, hen he credi line decreases because i becomes coslier o delay he agen s consumpion. On he oher hand, he amoun of deb could move eiher way due o wo effecs. For small γ deb increases in γ because he agen is able o borrow more hrough deb when he credi line is smaller. When γ becomes large, he projec becomes less profiable due o he agen s impaience, so he agen is able o borrow less hrough deb. We already saw in Secion 3. why he credi limi increases and he deb decreases wih volailiy σ riskier projecs require longer credi line and herefore he agen is able o borrow less hrough deb. In Table, b(w * ) is he maximum of he profiabiliy of he projec, i.e. he maximal amoun of capial ha he projec can raise. When L or µ increase he projec becomes more profiable, so i can poenially raise more capial. When risk of he projec σ or he agen s impaience γ increases, he projec becomes less profiable. Finally, higher ouside opion R makes i more difficul for invesors o punish he agen, so overall profiabiliy of he projec decreases. We conclude by compuing he quaniaive effec of he parameers on he deb choice of he firm for a specific example in Figure 4. Noe for example ha a compensaing balance is required if σ is high (o miigae risk), if R is high or µ is low (o increase he profi rae of he firm o mainain he agen s incenive o say), or if λ is very low (when 3 These are found for he case when he projec is profiable even if he agen does no have any iniial cash, which implies ha b (R) >. 4 dc L /dλ is negaive if R =. 7

19 he agency problem is small, a smaller hrea of erminaion is needed, and hus he credi line expands and deb shrinks). (Though no visible in he figure, i is also rue as γ r.) C L D 5 5 L µ γ R σ λ Figure 4: Comparaive Saics (base case: L =, R =, µ =, σ =, r = %, γ = 5%, λ = ) 3.3. Securiy Marke Values -5.5 We now consider he marke values of he credi line, long-erm deb and equiy ha implemen he opimal conrac. For his we need o make an assumpion regarding he prioriizaion of he deb in defaul. We assume ha he long-erm deb is senior o he credi line; similar calculaions could be performed for differen assumpions regarding senioriy. 5 Wih his assumpion, he long-erm debholders ge L D = min(l, D) upon erminaion. The marke value of long-erm deb is herefore r r VD( M) = E e xd+ e L D M Noe ha we compue he expeced discouned payoff for he deb condiional on he curren draw M on he credi line, which measures he firm s disance o defaul in our implemenaion. Unil erminaion, he equiy holders ge oal dividends of ddiv = di /λ, wih he agen receiving fracion λ. A erminaion, he ouside equiy holders receive he remaining par of liquidaion value, L E = max(, L D C L ) /( λ) per share, afer he deb and credi line have been paid off. 6 The value of equiy (per share) o ouside equiy holders is hen 5 Recall ha only he aggregae paymens o invesors maer for incenives; he division of he paymens beween he securiies is only relevan for pricing. 6 Lemma E in he Appendix shows ha L < D + C L when λ = and here are no ouside equiy holders, so in ha case we can se L E = o compue he shadow price of ouside equiy. 8

20 r r VE( M) = E e ddiv + e LE M Finally, he marke value of he credi line is r r VC( M) = E e ( dy ) xd ddiv + e LC M where L C = min(c L, L L D ). For he opimal capial srucure, he aggregae value of he ouside securiies equals he principal s coninuaion payoff. Tha is, from (7), b(r + λ(c L M)) = V D (M) + V C (M) + ( λ) V E (M). We show in he appendix how o represen hese marke values in erms of an ordinary differenial equaion, so ha hey may be compued easily. See Figure 5 for an example. In his example, L < D so ha he long-erm deb is risky. Noe ha he marke value of deb is decreasing owards L as he balance on he credi line increases owards he credi limi. Similarly he value of equiy declines o a he poin of defaul. The figure also shows ha he iniial value of he credi line is posiive he lender earns a profi by charging ineres rae γ > r. However, as he disance o defaul diminishes, addiional draws on he credi line resul in losses for he lender (for each dollar drawn, he value of he credi line goes up by less han one dollar, and evenually declines) V E V C V D D L Draw on Credi Line M C L Figure 5: Marke Values of Securiies for µ =, σ =, λ = 5%, r = %, γ = 5%, L =, R = Figure 5 also illusraes several oher ineresing properies of he securiy values. Noe, for example, ha he leverage raio of he firm is no consan over ime. When cash 9

21 flows are high, he firm will pay off he credi line and is leverage raio will decline. On he oher hand, during imes of low profiabiliy, he firm increases is leverage. This paern is broadly consisen wih he empirical behavior of leverage. One surprising observaion from Figure 5: he value of equiy is concave in he credi line balance, which implies ha he value of equiy would decline if he cash flow volailiy were o increase. In fac, we can show: PROPOSITION 5. When deb is risky (L < D), for he opimal capial srucure he value of equiy decreases if cash flow volailiy increases. Thus, equiy holders would prefer o reduce volailiy. PROOF: See appendix. This is couner o he usual presumpion ha risky deb implies ha equiy holders benefi from an increase in volailiy due o heir opion o defaul. Tha is, in our seing, here is no asse subsiuion problem relaed o leverage. Noe also ha he agen s payoff is linear in he credi line balance, so ha he agen is indifferen regarding changes o volailiy. 4. Hidden Effor Throughou our analysis we have concenraed on he seing in which he cash flows are privaely observed, and he agen may diver hem for his own consumpion. In his secion we discuss he relaionship beween his model and a sandard principal-agen model in which he agen makes a hidden binary effor choice. This model is also sudied by Biais e al. (4) in conemporaneous work. Our main resul is ha, subjec o naural parameer resricions, he soluions are idenical for boh models. Thus, all of our resuls apply o boh seings. In he sandard principal-agen model wih hidden effor, he principal observes he cash flows. Based on he cash flows, he principal decides how o compensae he agen, and wheher o coninue he projec. Thus, here are only wo key changes o our model. Firs, since cash flows are observed, here is no issue of he agen saving and using he savings o over-repor fuure cash flows. Second, we assume ha a each poin in ime, he agen can choose o shirk or work. Depending on his decision, he resuling cash flow process is if he agen works dyˆ = dy + a d, where a = A if he agen shirks We assume ha working is cosly for he agen, or equivalenly ha shirking resuls in a privae benefi. 7 Specifically, we suppose he agen receives an addiional flow of uiliy equal o λa d if he shirks. The agen canno misrepor he cash flows, since r < γ he agen will consume all paymens immediaely. Thus, if he agen shirks, dc = di +λ Ad. 7 The difference beween he wo inerpreaions amouns o shifing he agen s uiliy by a consan.

22 Again, λ parameerizes he cos of effor and herefore he degree of he moral hazard problem. We assume λ so ha working is efficien. Our firs resul esablishes he equivalence beween his seing and our prior model: PROPOSITION 6. The opimal Principal-Agen conrac implemening high effor is he opimal conrac of Secion. PROOF: The incenive compaibiliy condiion in Lemma C is unchanged: o implemen high effor a all imes, we mus have β λ σ. Bu hen Proposiion shows ha our conrac is he opimal conrac subjec o his consrain. I is no surprising ha our original conrac is incenive compaible in his seing, since shirking is equivalen sealing cash flows a a fixed rae. Wha is perhaps more surprising is ha he addiional flexibiliy he agen has in he cash flow diversion model does no require a sricer conrac. Of course, Proposiion 6 does assume ha implemening high effor a all imes is opimal. Under wha circumsances is his assumpion correc? If a conrac were o call for he agen o shirk afer some hisory, he projec cash flows would be diminished, bu i would no be necessary o provide he agen wih incenives. 8 Therefore, in hese saes he agen s coninuaion payoff would no longer need o be sensiive o he realized cash flows, and he agen s promised payoff would evolve as γ Wd ( ˆ di +λ dy µ d) if a= dw = γwd ( di +λ Ad) if a= A Because he principal s coninuaion funcion is concave, his reducion in he volailiy of W could be beneficial. For ha no o be he case, and for high effor o remain opimal, i mus be ha for all W, rb( W ) ( µ A) + ( γw λ A) b'( W ) () Inuiively, his equaion saes ha he principal s payoff rae from having he agen shirk would be less han under our exising conrac. 9 Define w s = λa/γ and b s = (µ A)/r = (µ γw s /λ)/r, he agen and principal s payoff if he agen shirks forever and receives no oher paymen. Then we have he following necessary and sufficien condiion, as well as a simple sufficien condiion, for high effor o remain opimal a all imes: PROPOSITION 7. Implemening high effor a all imes is opimal in he Principal-Agen seing if and only if s s γ b f ( w ) where f ( z) min w b( w) + r ( z w) b'( w). A simpler sufficien condiion is 8 Specifically, in Lemma C we can se β = in saes where he conrac called for he agen o shirk. 9 Formally, condiion () is required in he proof of Proposiion for G o remain a supermaringale for eiher effor choice.

Optimal Security Design and Dynamic Capital Structure in a Continuous-Time Agency Model

Optimal Security Design and Dynamic Capital Structure in a Continuous-Time Agency Model Opimal Securiy Design and Dynamic Capial Srucure in a Coninuous-Time Agency Model PETER M. DEMARZO AND YULIY SANNIKOV * Absrac We derive he opimal dynamic conrac in a coninuous-ime principal-agen seing,

More information

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 This exam has 50 quesions on 14 pages. Before you begin, please check o make sure ha your copy has all 50 quesions and all 14 pages.

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSIUE OF ACUARIES OF INDIA EAMINAIONS 23 rd May 2011 Subjec S6 Finance and Invesmen B ime allowed: hree hours (9.45* 13.00 Hrs) oal Marks: 100 INSRUCIONS O HE CANDIDAES 1. Please read he insrucions on

More information

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory UCLA Deparmen of Economics Fall 2016 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and you are o complee each par. Answer each par in a separae bluebook. All

More information

MA Advanced Macro, 2016 (Karl Whelan) 1

MA Advanced Macro, 2016 (Karl Whelan) 1 MA Advanced Macro, 2016 (Karl Whelan) 1 The Calvo Model of Price Rigidiy The form of price rigidiy faced by he Calvo firm is as follows. Each period, only a random fracion (1 ) of firms are able o rese

More information

Risking Other People's Money: Gambling, Limited Liability, and Optimal Incentives

Risking Other People's Money: Gambling, Limited Liability, and Optimal Incentives Risking Oher People's Money: Gambling, Limied Liabiliy, and Opimal Incenives Peer M. DeMarzo, Dmiry Livdan, and Alexei Tchisyi Preliminary and Incomplee Absrac We consider opimal incenive conracs when

More information

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations The Mahemaics Of Sock Opion Valuaion - Par Four Deriving The Black-Scholes Model Via Parial Differenial Equaions Gary Schurman, MBE, CFA Ocober 1 In Par One we explained why valuing a call opion as a sand-alone

More information

Models of Default Risk

Models of Default Risk Models of Defaul Risk Models of Defaul Risk 1/29 Inroducion We consider wo general approaches o modelling defaul risk, a risk characerizing almos all xed-income securiies. The srucural approach was developed

More information

Problem 1 / 25 Problem 2 / 25 Problem 3 / 11 Problem 4 / 15 Problem 5 / 24 TOTAL / 100

Problem 1 / 25 Problem 2 / 25 Problem 3 / 11 Problem 4 / 15 Problem 5 / 24 TOTAL / 100 Deparmen of Economics Universiy of Maryland Economics 35 Inermediae Macroeconomic Analysis Miderm Exam Suggesed Soluions Professor Sanjay Chugh Fall 008 NAME: The Exam has a oal of five (5) problems and

More information

Dynamic Moral Hazard, Persistent Private Information, and Limited Liability

Dynamic Moral Hazard, Persistent Private Information, and Limited Liability Dynamic Moral Hazard, Persisen Privae Informaion, and Limied Liabiliy Suvi Vasama y November 13, 212 Job Marke Paper Absrac We analyze a coninuous-ime principal-agen model wih sochasic oupu ha is correlaed

More information

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano Fiscal Policy: A Summing Up Prepared by: Fernando Quijano and vonn Quijano CHAPTER CHAPTER26 2006 Prenice Hall usiness Publishing Macroeconomics, 4/e Olivier lanchard Chaper 26: Fiscal Policy: A Summing

More information

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question.

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question. UCLA Deparmen of Economics Spring 05 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and each par is worh 0 poins. Pars and have one quesion each, and Par 3 has

More information

Optimal Early Exercise of Vulnerable American Options

Optimal Early Exercise of Vulnerable American Options Opimal Early Exercise of Vulnerable American Opions March 15, 2008 This paper is preliminary and incomplee. Opimal Early Exercise of Vulnerable American Opions Absrac We analyze he effec of credi risk

More information

Economic Growth Continued: From Solow to Ramsey

Economic Growth Continued: From Solow to Ramsey Economic Growh Coninued: From Solow o Ramsey J. Bradford DeLong May 2008 Choosing a Naional Savings Rae Wha can we say abou economic policy and long-run growh? To keep maers simple, le us assume ha he

More information

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems Wernz C. and Deshmukh A. An Incenive-Based Muli-Period Decision Model for Hierarchical Sysems Proceedings of he 3 rd Inernaional Conference on Global Inerdependence and Decision Sciences (ICGIDS) pp. 84-88

More information

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg LIDSTONE IN THE CONTINUOUS CASE by Ragnar Norberg Absrac A generalized version of he classical Lidsone heorem, which deals wih he dependency of reserves on echnical basis and conrac erms, is proved in

More information

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6.

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6. Pricing ulnerable American Opions April 16, 2007 Peer Klein and Jun (James) Yang imon Fraser Universiy Burnaby, B.C. 5A 16 pklein@sfu.ca (604) 268-7922 Pricing ulnerable American Opions Absrac We exend

More information

The macroeconomic effects of fiscal policy in Greece

The macroeconomic effects of fiscal policy in Greece The macroeconomic effecs of fiscal policy in Greece Dimiris Papageorgiou Economic Research Deparmen, Bank of Greece Naional and Kapodisrian Universiy of Ahens May 22, 23 Email: dpapag@aueb.gr, and DPapageorgiou@bankofgreece.gr.

More information

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet.

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet. Appendix B: DETAILS ABOUT THE SIMULATION MODEL The simulaion model is carried ou on one spreadshee and has five modules, four of which are conained in lookup ables ha are all calculaed on an auxiliary

More information

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium)

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium) 5. Inflaion-linked bonds Inflaion is an economic erm ha describes he general rise in prices of goods and services. As prices rise, a uni of money can buy less goods and services. Hence, inflaion is an

More information

ECON Lecture 5 (OB), Sept. 21, 2010

ECON Lecture 5 (OB), Sept. 21, 2010 1 ECON4925 2010 Lecure 5 (OB), Sep. 21, 2010 axaion of exhausible resources Perman e al. (2003), Ch. 15.7. INODUCION he axaion of nonrenewable resources in general and of oil in paricular has generaed

More information

Policyholder Exercise Behavior for Variable Annuities including Guaranteed Minimum Withdrawal Benefits 1

Policyholder Exercise Behavior for Variable Annuities including Guaranteed Minimum Withdrawal Benefits 1 Policyholder Exercise Behavior for Variable Annuiies including Guaraneed Minimum Wihdrawal Benefis 1 2 Deparmen of Risk Managemen and Insurance, Georgia Sae Universiy 35 Broad Sree, 11h Floor; Alana, GA

More information

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion.

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion. BALANCE OF PAYMENTS DATE: 27-11-27 PUBLISHER: Saisics Sweden Balance of Paymens and Financial Markes (BFM) Maria Falk +46 8 6 94 72, maria.falk@scb.se Camilla Bergeling +46 8 6 942 6, camilla.bergeling@scb.se

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 05 h November 007 Subjec CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Do no wrie your

More information

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each VBM Soluion skech SS 2012: Noe: This is a soluion skech, no a complee soluion. Disribuion of poins is no binding for he correcor. 1 EVA, free cash flow, and financial raios (45) 1.1 EVA wihou adjusmens

More information

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009 s Praciioner Course: Ineres Rae Models March 29, 2009 In order o value European-syle opions, we need o evaluae risk-neural expecaions of he form V (, T ) = E [D(, T ) H(T )] where T is he exercise dae,

More information

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution.

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution. Maemaisk saisik Tenamen: 8 5 8 kl 8 13 Maemaikcenrum FMS17/MASM19 Prissäning av Derivaillgångar, 9 hp Lunds ekniska högskola Soluion. 1. In he firs soluion we look a he dynamics of X using Iôs formula.

More information

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option A pricing model for he Guaraneed Lifelong Wihdrawal Benefi Opion Gabriella Piscopo Universià degli sudi di Napoli Federico II Diparimeno di Maemaica e Saisica Index Main References Survey of he Variable

More information

Jarrow-Lando-Turnbull model

Jarrow-Lando-Turnbull model Jarrow-Lando-urnbull model Characerisics Credi raing dynamics is represened by a Markov chain. Defaul is modelled as he firs ime a coninuous ime Markov chain wih K saes hiing he absorbing sae K defaul

More information

Systemic Risk Illustrated

Systemic Risk Illustrated Sysemic Risk Illusraed Jean-Pierre Fouque Li-Hsien Sun March 2, 22 Absrac We sudy he behavior of diffusions coupled hrough heir drifs in a way ha each componen mean-revers o he mean of he ensemble. In

More information

IJRSS Volume 2, Issue 2 ISSN:

IJRSS Volume 2, Issue 2 ISSN: A LOGITIC BROWNIAN MOTION WITH A PRICE OF DIVIDEND YIELDING AET D. B. ODUOR ilas N. Onyango _ Absrac: In his paper, we have used he idea of Onyango (2003) he used o develop a logisic equaion used in naural

More information

Li Gan Guan Gong Michael Hurd. April, 2006

Li Gan Guan Gong Michael Hurd. April, 2006 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis Li Gan Guan Gong Michael Hurd April, 2006 ABSTRACT When he age of deah is uncerain, individuals will leave bequess even if hey have

More information

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000.

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000. Social Analysis 10 Spring 2006 Problem Se 1 Answers Quesion 1 a. The compuer is a final good produced and sold in 2006. Hence, 2006 GDP increases by $2,000. b. The bread is a final good sold in 2006. 2006

More information

An Analytical Implementation of the Hull and White Model

An Analytical Implementation of the Hull and White Model Dwigh Gran * and Gauam Vora ** Revised: February 8, & November, Do no quoe. Commens welcome. * Douglas M. Brown Professor of Finance, Anderson School of Managemen, Universiy of New Mexico, Albuquerque,

More information

Inventory Investment. Investment Decision and Expected Profit. Lecture 5

Inventory Investment. Investment Decision and Expected Profit. Lecture 5 Invenory Invesmen. Invesmen Decision and Expeced Profi Lecure 5 Invenory Accumulaion 1. Invenory socks 1) Changes in invenory holdings represen an imporan and highly volaile ype of invesmen spending. 2)

More information

Final Exam Answers Exchange Rate Economics

Final Exam Answers Exchange Rate Economics Kiel Insiu für Welwirhschaf Advanced Sudies in Inernaional Economic Policy Research Spring 2005 Menzie D. Chinn Final Exam Answers Exchange Rae Economics This exam is 1 ½ hours long. Answer all quesions.

More information

a) No constraints on import- export, no limit on reservoir, all water in the first period The monopoly optimisation problem is:

a) No constraints on import- export, no limit on reservoir, all water in the first period The monopoly optimisation problem is: Monopoly and rade Monopoly conrol impors, bu akes expor price as given. a No consrains on impor- expor, no limi on reservoir, all waer in he firs period he monopoly opimisaion problem is: Max p ( x x +

More information

May 2007 Exam MFE Solutions 1. Answer = (B)

May 2007 Exam MFE Solutions 1. Answer = (B) May 007 Exam MFE Soluions. Answer = (B) Le D = he quarerly dividend. Using formula (9.), pu-call pariy adjused for deerminisic dividends, we have 0.0 0.05 0.03 4.50 =.45 + 5.00 D e D e 50 e = 54.45 D (

More information

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison Economics 32, Sec. 1 Menzie D. Chinn Spring 211 Social Sciences 7418 Universiy of Wisconsin-Madison Noes for Econ 32-1 FALL 21 Miderm 1 Exam The Fall 21 Econ 32-1 course used Hall and Papell, Macroeconomics

More information

(a) Assume that the entrepreneur is willing to undertake the project, and analyze the problem from the point of view of the outside investor.

(a) Assume that the entrepreneur is willing to undertake the project, and analyze the problem from the point of view of the outside investor. Problem Se # Soluions Course 4.454 Macro IV TA: Todd Gormley, gormley@mi.edu Disribued: November 9, 004 Due: Tuesday, November 3, 004 [in class]. Financial Consrains (via Cosly Sae Verificaion) Consider

More information

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London Supplemen o Models for Quanifying Risk, 5 h Ediion Cunningham, Herzog, and London We have received inpu ha our ex is no always clear abou he disincion beween a full gross premium and an expense augmened

More information

Balance of Payments. Second quarter 2012

Balance of Payments. Second quarter 2012 Balance of Paymens Second quarer 2012 Balance of Paymens Second quarer 2012 Saisics Sweden 2012 Balance of Paymens. Second quarer 2012 Saisics Sweden 2012 Producer Saisics Sweden, Balance of Paymens and

More information

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model.

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model. Macroeconomics II A dynamic approach o shor run economic flucuaions. The DAD/DAS model. Par 2. The demand side of he model he dynamic aggregae demand (DAD) Inflaion and dynamics in he shor run So far,

More information

Pricing FX Target Redemption Forward under. Regime Switching Model

Pricing FX Target Redemption Forward under. Regime Switching Model In. J. Conemp. Mah. Sciences, Vol. 8, 2013, no. 20, 987-991 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.12988/ijcms.2013.311123 Pricing FX Targe Redempion Forward under Regime Swiching Model Ho-Seok

More information

Econ 546 Lecture 4. The Basic New Keynesian Model Michael Devereux January 2011

Econ 546 Lecture 4. The Basic New Keynesian Model Michael Devereux January 2011 Econ 546 Lecure 4 The Basic New Keynesian Model Michael Devereux January 20 Road map for his lecure We are evenually going o ge 3 equaions, fully describing he NK model The firs wo are jus he same as before:

More information

Erratic Price, Smooth Dividend. Variance Bounds. Present Value. Ex Post Rational Price. Standard and Poor s Composite Stock-Price Index

Erratic Price, Smooth Dividend. Variance Bounds. Present Value. Ex Post Rational Price. Standard and Poor s Composite Stock-Price Index Erraic Price, Smooh Dividend Shiller [1] argues ha he sock marke is inefficien: sock prices flucuae oo much. According o economic heory, he sock price should equal he presen value of expeced dividends.

More information

Problem 1 / 25 Problem 2 / 25 Problem 3 / 30 Problem 4 / 20 TOTAL / 100

Problem 1 / 25 Problem 2 / 25 Problem 3 / 30 Problem 4 / 20 TOTAL / 100 Deparmen of Economics Universiy of Maryland Economics 325 Inermediae Macroeconomic Analysis Final Exam Professor Sanjay Chugh Spring 2009 May 16, 2009 NAME: TA S NAME: The Exam has a oal of four (4) problems

More information

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts Macroeconomics Par 3 Macroeconomics of Financial Markes Lecure 8 Invesmen: basic conceps Moivaion General equilibrium Ramsey and OLG models have very simple assumpions ha invesmen ino producion capial

More information

Introduction to Black-Scholes Model

Introduction to Black-Scholes Model 4 azuhisa Masuda All righs reserved. Inroducion o Black-choles Model Absrac azuhisa Masuda Deparmen of Economics he Graduae Cener, he Ciy Universiy of New York, 365 Fifh Avenue, New York, NY 6-439 Email:

More information

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values McGraw-Hill/Irwin Chaper 2 How o Calculae Presen Values Principles of Corporae Finance Tenh Ediion Slides by Mahew Will And Bo Sjö 22 Copyrigh 2 by he McGraw-Hill Companies, Inc. All righs reserved. Fundamenal

More information

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6 CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T J KEHOE MACROECONOMICS I WINTER PROBLEM SET #6 This quesion requires you o apply he Hodrick-Presco filer o he ime series for macroeconomic variables for he

More information

Aid, Policies, and Growth

Aid, Policies, and Growth Aid, Policies, and Growh By Craig Burnside and David Dollar APPENDIX ON THE NEOCLASSICAL MODEL Here we use a simple neoclassical growh model o moivae he form of our empirical growh equaion. Our inenion

More information

1 Purpose of the paper

1 Purpose of the paper Moneary Economics 2 F.C. Bagliano - Sepember 2017 Noes on: F.X. Diebold and C. Li, Forecasing he erm srucure of governmen bond yields, Journal of Economerics, 2006 1 Purpose of he paper The paper presens

More information

Money in a Real Business Cycle Model

Money in a Real Business Cycle Model Money in a Real Business Cycle Model Graduae Macro II, Spring 200 The Universiy of Nore Dame Professor Sims This documen describes how o include money ino an oherwise sandard real business cycle model.

More information

COOPERATION WITH TIME-INCONSISTENCY. Extended Abstract for LMSC09

COOPERATION WITH TIME-INCONSISTENCY. Extended Abstract for LMSC09 COOPERATION WITH TIME-INCONSISTENCY Exended Absrac for LMSC09 By Nicola Dimiri Professor of Economics Faculy of Economics Universiy of Siena Piazza S. Francesco 7 53100 Siena Ialy Dynamic games have proven

More information

Bond Prices and Interest Rates

Bond Prices and Interest Rates Winer erm 1999 Bond rice Handou age 1 of 4 Bond rices and Ineres Raes A bond is an IOU. ha is, a bond is a promise o pay, in he fuure, fixed amouns ha are saed on he bond. he ineres rae ha a bond acually

More information

OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS

OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS Kuwai Chaper of Arabian Journal of Business and Managemen Review Vol. 3, No.6; Feb. 2014 OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS Ayoub Faramarzi 1, Dr.Rahim

More information

Economics 602 Macroeconomic Theory and Policy Problem Set 9 Professor Sanjay Chugh Spring 2012

Economics 602 Macroeconomic Theory and Policy Problem Set 9 Professor Sanjay Chugh Spring 2012 Deparmen of Applied Economics Johns Hopkins Universiy Economics 602 Macroeconomic Theory and Policy Prolem Se 9 Professor Sanjay Chugh Spring 2012 1. Sock, Bonds, Bills, and he Financial Acceleraor. In

More information

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1 Suden Assessmen You will be graded on he basis of In-class aciviies (quizzes worh 30 poins) which can be replaced wih he number of marks from he regular uorial IF i is >=30 (capped a 30, i.e. marks from

More information

The Simple Analytics of Price Determination

The Simple Analytics of Price Determination Econ. 511b Spring 1997 C. Sims The Simple Analyics of rice Deerminaion The logic of price deerminaion hrough fiscal policy may be bes appreciaed in an exremely lean model. We include no sochasic elemens,

More information

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator,

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator, 1 2. Quaniy and price measures in macroeconomic saisics 2.1. Long-run deflaion? As ypical price indexes, Figure 2-1 depics he GD deflaor, he Consumer rice ndex (C), and he Corporae Goods rice ndex (CG)

More information

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to A Theory of Tax Effecs on Economic Damages Sco Gilber Souhern Illinois Universiy Carbondale Commens? Please send o gilbers@siu.edu ovember 29, 2012 Absrac This noe provides a heoreical saemen abou he effec

More information

SIMPLE DSGE MODELS OF MONEY DEMAND: PART I OCTOBER 14, 2014

SIMPLE DSGE MODELS OF MONEY DEMAND: PART I OCTOBER 14, 2014 SIMPLE DSGE MODELS OF MONEY DEMAND: PART I OCTOBER 4, 204 Inroducion BASIC ISSUES Money/moneary policy issues an enduring fascinaion in macroeconomics How can/should cenral bank conrol he economy? Should

More information

Stock Market Behaviour Around Profit Warning Announcements

Stock Market Behaviour Around Profit Warning Announcements Sock Marke Behaviour Around Profi Warning Announcemens Henryk Gurgul Conen 1. Moivaion 2. Review of exising evidence 3. Main conjecures 4. Daa and preliminary resuls 5. GARCH relaed mehodology 6. Empirical

More information

Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets

Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets Daa-Driven Demand Learning and Dynamic Pricing Sraegies in Compeiive Markes Pricing Sraegies & Dynamic Programming Rainer Schlosser, Marin Boissier, Mahias Uflacker Hasso Planer Insiue (EPIC) April 30,

More information

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard)

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard) ANSWER ALL QUESTIONS CHAPTERS 6-9; 18-20 (Blanchard) Quesion 1 Discuss in deail he following: a) The sacrifice raio b) Okun s law c) The neuraliy of money d) Bargaining power e) NAIRU f) Wage indexaion

More information

A Method for Estimating the Change in Terminal Value Required to Increase IRR

A Method for Estimating the Change in Terminal Value Required to Increase IRR A Mehod for Esimaing he Change in Terminal Value Required o Increase IRR Ausin M. Long, III, MPA, CPA, JD * Alignmen Capial Group 11940 Jollyville Road Suie 330-N Ausin, TX 78759 512-506-8299 (Phone) 512-996-0970

More information

Macroeconomics II THE AD-AS MODEL. A Road Map

Macroeconomics II THE AD-AS MODEL. A Road Map Macroeconomics II Class 4 THE AD-AS MODEL Class 8 A Road Map THE AD-AS MODEL: MICROFOUNDATIONS 1. Aggregae Supply 1.1 The Long-Run AS Curve 1.2 rice and Wage Sickiness 2.1 Aggregae Demand 2.2 Equilibrium

More information

Output: The Demand for Goods and Services

Output: The Demand for Goods and Services IN CHAPTER 15 how o incorporae dynamics ino he AD-AS model we previously sudied how o use he dynamic AD-AS model o illusrae long-run economic growh how o use he dynamic AD-AS model o race ou he effecs

More information

Money/monetary policy issues an enduring fascination in macroeconomics. How can/should central bank control the economy? Should it/can it at all?

Money/monetary policy issues an enduring fascination in macroeconomics. How can/should central bank control the economy? Should it/can it at all? SIMPLE DSGE MODELS OF MONEY PART I SEPTEMBER 22, 211 Inroducion BASIC ISSUES Money/moneary policy issues an enduring fascinaion in macroeconomics How can/should cenral bank conrol he economy? Should i/can

More information

MAFS Quantitative Modeling of Derivative Securities

MAFS Quantitative Modeling of Derivative Securities MAFS 5030 - Quaniaive Modeling of Derivaive Securiies Soluion o Homework Three 1 a For > s, consider E[W W s F s = E [ W W s + W s W W s Fs We hen have = E [ W W s F s + Ws E [W W s F s = s, E[W F s =

More information

MORNING SESSION. Date: Wednesday, April 26, 2017 Time: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES

MORNING SESSION. Date: Wednesday, April 26, 2017 Time: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES SOCIETY OF ACTUARIES Quaniaive Finance and Invesmen Core Exam QFICORE MORNING SESSION Dae: Wednesday, April 26, 2017 Time: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES General Insrucions 1. This examinaion

More information

Optimal Tax-Timing and Asset Allocation when Tax Rebates on Capital Losses are Limited

Optimal Tax-Timing and Asset Allocation when Tax Rebates on Capital Losses are Limited Opimal Tax-Timing and Asse Allocaion when Tax Rebaes on Capial Losses are Limied Marcel Marekwica This version: January 15, 2007 Absrac Since Consaninides (1983) i is well known ha in a marke where capial

More information

Principles of Finance CONTENTS

Principles of Finance CONTENTS Principles of Finance CONENS Value of Bonds and Equiy... 3 Feaures of bonds... 3 Characerisics... 3 Socks and he sock marke... 4 Definiions:... 4 Valuing equiies... 4 Ne reurn... 4 idend discoun model...

More information

DEBT INSTRUMENTS AND MARKETS

DEBT INSTRUMENTS AND MARKETS DEBT INSTRUMENTS AND MARKETS Zeroes and Coupon Bonds Zeroes and Coupon Bonds Ouline and Suggesed Reading Ouline Zero-coupon bonds Coupon bonds Bond replicaion No-arbirage price relaionships Zero raes Buzzwords

More information

If You Are No Longer Able to Work

If You Are No Longer Able to Work If You Are No Longer Able o Work NY STRS A Guide for Making Disabiliy Reiremen Decisions INTRODUCTION If you re forced o sop working because of a serious illness or injury, you and your family will be

More information

Exam 1. Econ520. Spring 2017

Exam 1. Econ520. Spring 2017 Exam 1. Econ520. Spring 2017 Professor Luz Hendricks UNC Insrucions: Answer all quesions. Clearly number your answers. Wrie legibly. Do no wrie your answers on he quesion shees. Explain your answers do

More information

Origins of currency swaps

Origins of currency swaps Origins of currency swaps Currency swaps originally were developed by banks in he UK o help large cliens circumven UK exchange conrols in he 1970s. UK companies were required o pay an exchange equalizaion

More information

Question 1 / 15 Question 2 / 15 Question 3 / 28 Question 4 / 42

Question 1 / 15 Question 2 / 15 Question 3 / 28 Question 4 / 42 Deparmen of Applied Economics Johns Hopkins Universiy Economics 602 Macroeconomic Theory and olicy Final Exam rofessor Sanjay Chugh Fall 2008 December 8, 2008 NAME: The Exam has a oal of four (4) quesions

More information

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak Technological progress breakhrough invenions Dr hab. Joanna Siwińska-Gorzelak Inroducion Afer The Economis : Solow has shown, ha accumulaion of capial alone canno yield lasing progress. Wha can? Anyhing

More information

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017 GUIDELINE Solacive Gold Fron Monh MD Rolling Fuures Index ER Version 1.1 daed April 13 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

Chapter 10: The Determinants of Dividend Policy

Chapter 10: The Determinants of Dividend Policy Chaper 10: The Deerminans of Dividend Policy 1. True True False 2. This means ha firms generally prefer no o change dividends, paricularly downwards. One explanaion for his is he clienele hypohesis. Tha

More information

THE TWO-PERIOD MODEL (CONTINUED)

THE TWO-PERIOD MODEL (CONTINUED) GOVERNMENT AND FISCAL POLICY IN THE TWO-PERIOD MODEL (CONTINUED) MAY 25, 20 A Governmen in he Two-Period Model ADYNAMIC MODEL OF THE GOVERNMENT So far only consumers in our wo-period framework Inroduce

More information

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N THE LOG RU Exercise 8 The Solow Model Suppose an economy is characerized by he aggregae producion funcion / /, where is aggregae oupu, is capial and is employmen. Suppose furher ha aggregae saving is proporional

More information

Evaluating Projects under Uncertainty

Evaluating Projects under Uncertainty Evaluaing Projecs under Uncerainy March 17, 4 1 Projec risk = possible variaion in cash flows 2 1 Commonly used measure of projec risk is he variabiliy of he reurn 3 Mehods of dealing wih uncerainy in

More information

Equivalent Martingale Measure in Asian Geometric Average Option Pricing

Equivalent Martingale Measure in Asian Geometric Average Option Pricing Journal of Mahemaical Finance, 4, 4, 34-38 ublished Online Augus 4 in SciRes hp://wwwscirporg/journal/jmf hp://dxdoiorg/436/jmf4447 Equivalen Maringale Measure in Asian Geomeric Average Opion ricing Yonggang

More information

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport Suggesed Templae for Rolling Schemes for inclusion in he fuure price regulaion of Dublin Airpor. In line wih sandard inernaional regulaory pracice, he regime operaed since 00 by he Commission fixes in

More information

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES Workshop on moraliy and longeviy, Hannover, April 20, 2012 Thomas Møller, Chief Analys, Acuarial Innovaion OUTLINE Inroducion Moraliy risk managemen

More information

Tentamen i 5B1575 Finansiella Derivat. Måndag 27 augusti 2007 kl Answers and suggestions for solutions.

Tentamen i 5B1575 Finansiella Derivat. Måndag 27 augusti 2007 kl Answers and suggestions for solutions. Tenamen i 5B1575 Finansiella Deriva. Måndag 27 augusi 2007 kl. 14.00 19.00. Answers and suggesions for soluions. 1. (a) For he maringale probabiliies we have q 1 + r d u d 0.5 Using hem we obain he following

More information

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li 1 / 43 Consrucing Ou-of-he-Money Longeviy Hedges Using Parameric Moraliy Indexes Johnny Li Join-work wih Jackie Li, Udiha Balasooriya, and Kenneh Zhou Deparmen of Economics, The Universiy of Melbourne

More information

SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL

SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL 2 Hiranya K. Nah, Sam Houson Sae Universiy Rober Srecher, Sam Houson Sae Universiy ABSTRACT Using a muli-period general equilibrium

More information

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio Synheic CDO s and Baske Defaul Swaps in a Fixed Income Credi Porfolio Louis Sco June 2005 Credi Derivaive Producs CDO Noes Cash & Synheic CDO s, various ranches Invesmen Grade Corporae names, High Yield

More information

CHRISTOPH MÖHR ABSTRACT

CHRISTOPH MÖHR ABSTRACT MARKET-CONSISTENT VALUATION OF INSURANCE LIABILITIES BY COST OF CAPITAL BY CHRISTOPH MÖHR ABSTRACT This paper invesigaes marke-consisen valuaion of insurance liabiliies in he conex of Solvency II among

More information

Investment Reversibility and Agency Cost of Debt

Investment Reversibility and Agency Cost of Debt Invesmen Reversibiliy and Agency Cos of Deb Gusavo Manso Ocober 24, 2007 Absrac Previous research has argued ha deb financing affecs equiyholders invesmen decisions, producing subsanial inefficiency. This

More information

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi Exam 4 is Th. April 24. You are allowed 13 shees of noes and a calculaor. ch. 7: 137) Unless old oherwise, duraion refers o Macaulay duraion. The duraion of a single cashflow is he ime remaining unil mauriy,

More information

Monetary policy and multiple equilibria in a cash-in-advance economy

Monetary policy and multiple equilibria in a cash-in-advance economy Economics Leers 74 (2002) 65 70 www.elsevier.com/ locae/ econbase Moneary policy and muliple equilibria in a cash-in-advance economy Qinglai Meng* The Chinese Universiy of Hong Kong, Deparmen of Economics,

More information

Balance of Payments. Third quarter 2009

Balance of Payments. Third quarter 2009 Balance of Paymens Third quarer 2009 Balance of Paymens Third quarer 2009 Saisics Sweden 2009 Balance of Paymens. Third quarer 2009 Saisics Sweden 2009 Producer Saisics Sweden, Balance of Paymens and

More information

An Introduction to PAM Based Project Appraisal

An Introduction to PAM Based Project Appraisal Slide 1 An Inroducion o PAM Based Projec Appraisal Sco Pearson Sanford Universiy Sco Pearson is Professor of Agriculural Economics a he Food Research Insiue, Sanford Universiy. He has paricipaed in projecs

More information

Pricing formula for power quanto options with each type of payoffs at maturity

Pricing formula for power quanto options with each type of payoffs at maturity Global Journal of Pure and Applied Mahemaics. ISSN 0973-1768 Volume 13, Number 9 (017, pp. 6695 670 Research India Publicaions hp://www.ripublicaion.com/gjpam.hm Pricing formula for power uano opions wih

More information

Single Premium of Equity-Linked with CRR and CIR Binomial Tree

Single Premium of Equity-Linked with CRR and CIR Binomial Tree The 7h SEAMS-UGM Conference 2015 Single Premium of Equiy-Linked wih CRR and CIR Binomial Tree Yunia Wulan Sari 1,a) and Gunardi 2,b) 1,2 Deparmen of Mahemaics, Faculy of Mahemaics and Naural Sciences,

More information