Test Bank to accompany Modern Portfolio Theory and Investment Analysis, 9 th Edition

Size: px
Start display at page:

Download "Test Bank to accompany Modern Portfolio Theory and Investment Analysis, 9 th Edition"

Transcription

1 Test ank to accopany Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank to accopany Modern ortfolo Theory and Investent Analyss, 9th Edton Copleted download lnk: Related download lnk: Solutons Manual for Modern ortfolo Theory and Investent Analyss 9th Edton by Elton Gruber rown Goetzann MODERN ORTFOLIO THEORY AND INVESTMENT ANALYSIS 9 TH EDITION ELTON, GRUER, ROWN, & GOETZMANN The followng exa questons are organzed accordng to the text's sectons. Wthn each secton, questons follow the order of the text's chapters and are organzed as ultple choce, true-false wth dscusson, probles, and essays. The correct answers and the correspondng chapter(s) are ndcated below each queston. ART : ORTFOLIO ANALYSIS ART Secton 1: Mean Varance ortfolo Theory Multple Choce 1. The rsk on a portfolo of assets: a. s dfferent fro the rsk on the arket portfolo. b. s not nfluenced by the rsk of ndvdual assets. c. s dfferent fro the rsk of ndvdual assets. d. s negatvely correlated to the rsk of ndvdual assets. C Chapter: 4. Whch of the followng s correct of how the returns on assets ove together? a. ostve and negatve devatons between assets at slar tes gve a art - 1

2 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton negatve covarance. b. ostve and negatve devatons between assets at dsslar tes gve a negatve covarance. c. ostve and negatve devatons between assets gve a zero covarance. d. ostve and negatve devatons between assets at dsslar tes gve a postve covarance. Chapter: 4 3. An effcent fronter s: a. a cobnaton of securtes that have the hghest expected return for each level of rsk. b. the cobnaton of two securtes or portfolos represented as a convex functon. c. a cobnaton of securtes that le below the nu varance portfolo and the axu return portfolo. d. a cobnaton of securtes that have an average expected return for each level of rsk. A Chapter: 5 4. Two copanes Aber and olt are anufacturers of glass. The securtes of the copanes are lsted and traded n the New York Stock Exchange. An nvestor s portfolo conssts of these two securtes n the proporton of 5/6 and 1/6 respectvely. Aber s securty has an expected return of 0% and a standard devaton of 8%. olt has an expected return of 15% and a standard devaton of 5%. The correlaton coeffcent between the two securtes s 0.6. Calculate the expected return and the standard devaton of the nvestor s portfolo. a. R 19.17% 7.0% b. R 0.19% 8.0% c. R 17% 7.0% d. R 18.19% 8.0% A Chapter: 6 robles 1. Consder the probablty dstrbuton below. (Note that the expected returns of A and have already been coputed for you.) State p(s) ra r Recesson Noral art -.

3 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank oo Expected Return: a. Calculate the standard devatons of A and. b. Calculate the covarance and correlaton between A and. c. Calculate the expected return of the portfolo that nvests 30% n stock A and the rest n stock. d. Calculate the standard devaton of the portfolo n part b. a. A = [0.3 (.11. 1) ] + [0.4 (.13.1) ] + [0.3 (.7.1) ] = 0.06 = [0.3 (.16.06) ] + [0.4 ( ) ] + [0.3 (.04.06) ] = b. Cov(rA,r) = [0.3 (.11. 1)(.16.06)] + [0.4 (.13.1)(.06.06)] + [0.3 (.7.1)(.04.06)] = Corr(rA,r) = / ( )= c. E(rp) = 0.3(0.1) + 0.7(0.06)=0.07 d. Usng the standard devaton of each of the assets A and coputed n part a and covarance between the two assets coputed n part b: = [( ) + ( ) ( )] = Chapter: 4. Stock A has an expected return of 8% and a standard devaton of 40%. Stock has an expected return of 13% and standard devaton of 60%. The correlaton between A and s -1 (.e., they are perfectly negatvely correlated). Show that you can for a zero rsk portfolo by nvestng w A n A and the rest n. A Copyrght 014 John Wley & Sons, Inc. art - 3

4 ortfolo Expected Return Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton 0.6 w A 0.6 Thus, The varance of the portfolo s gven by: Ths portfolo has zero varance hence, t s rskless. Ths confrs what we learned n class when two securtes are perfectly negatvely correlated, t s possble to for a zero-rsk portfolo by cobnng the. Chapter 5 3. The followng dagra shows the nvestent opportunty set for portfolos contanng stocks A and. You need to know that: ont A on the graph represents a portfolo wth 100% n stock A ont represents a portfolo wth 100% n stock 9.00% 8.00% z A 7.00% 6.00% x y w 5.00% 4.00% 3.00%.00% 1.00% 0.00% 0.00% 0.50% 1.00% 1.50%.00%.50% 3.00% ortfolo Standard Devaton art - 4.

5 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank a. Is the correlaton between A and greater than, equal to, or less than 1. How do you know? b. Whch labeled pont on the graph represents the nu varance portfolo? c. Whch labeled pont on the graph represents a portfolo wth 88% nvested n stock A and the rest n? d. If A and are the only nvestents avalable to an nvestor, whch of the labeled portfolos are effcent? e. Suppose a rsk-free asset exsts, allowng an nvestor to nvest or borrow at the rskfree rate of 3%. If the above graph s drawn perfectly to scale, whch labeled pont represents the optal rsky portfolo. f. Under the assuptons n part (e), would t be wse for an nvestor to nvest all of hs or her oney n stock A? Why or why not? a. Less than 1. Correlaton can t be greater than 1, and f correlaton equaled 1 (eanng that A and were perfectly postvely correlated), then the IOS between A and would be a straght lne. b. x c. z. Ths should be obvous, snce a portfolo wth 88% n A wll be uch closer to A than on the curve. You can also confr atheatcally by notng fro the graph that E(rA) 8.5% and E(r) 4.5%. Thus, a portfolo wth 87% n A wll have E(r) 0.88(.085) + 0.1(.045) = 0.080, whch s approxately the expected return of portfolo z n the graph. d. x, y, z, and A e. y. Note on the graph that the tangency lne fro the rsk-free asset ntercepts the IOS at y. Copyrght 014 John Wley & Sons, Inc. art - 5

6 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton 9.00% 8.00% z A ortfolo Expected Return 7.00% 6.00% 5.00% 4.00% 3.00% x y w.00% 1.00% 0.00% 0.00% 0.50% 1.00% 1.50%.00%.50% 3.00% ortfolo Standard Devaton f. No. When the nvestor has the ablty to borrow or lend at the rsk-free rate, only the portfolos on the tangency lne are effcent. Note n the graph above that by borrowng at the rsk-free rate and nvestng everythng n the optal rsky portfolo (y, n ths case), the nvestor can create portfolos that that donate A. Chapter: 5 and 6 Essay 1. Descrbe what s sevarance? Gve reasons why sevarance s not used as a easure of dsperson. Sevarance s a easure of dsperson that consders only the devatons of the returns whch are below the average desred returns. Ths ay be useful as the only returns that alar an nvestor are the returns that are below the desred level. For a well-dversfed equty portfolo, syetrcal dstrbuton s a reasonable assupton and hence, varance s also an approprate easure of downsde rsk. Furtherore, snce eprcal evdence shows that ost of the assets exstng n the arket have returns that are reasonably syetrcal, sevarance s not needed because f returns on an asset are syetrcal the sevarance s proportonal to the varance. Thus, n ost of the cases, not the sevarance, but the varance, s used as art - 6.

7 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank a easure of dsperson. Chapter: 4. Under what condton wll addng a securty wth a hgh standard devaton decrease the rsk of a portfolo? The rsk of a cobnaton of assets s dfferent fro a sple average of the rsk of ndvdual assets. The standard devaton of a cobnaton of two assets ay be less than the varance of ether of the assets theselves. Addng a securty wth a hgh standard devaton to a portfolo can reduce the overall rsk of portfolo f the securty s negatvely correlated to the bulk of securtes n the portfolo. In a condton where two securtes are perfectly negatvely correlated, the securtes wll ove together but n opposte drectons. The standard devaton of such a portfolo wll be saller than a portfolo whose securtes are postvely correlated. If two securtes are perfectly negatvely correlated, t should always be possble to fnd soe cobnaton of these two securtes that has zero rsk. A zero rsk portfolo wll always nvolve postve nvestent n both the securtes. Chapter: 5 3. Wth the help of a dagra show, how would you dentfy a ray wth the greatest slope as an effcent fronter where rskless lendng and borrowng s present? We understand that the exstence of rskless lendng and borrowng ples that there s a sngle portfolo of rsky assets that s preferred to all other portfolos. In the return standard devaton space, ths portfolo plots on the ray connectng the rskless asset and the rsky portfolo that les farthest n the counter clockwse drecton. We can udge fro the below gven graph that the ray R F s preferred by the nvestors to any other portfolo or rays lke R F A. The effcent fronter s the entre length of the ray extendng through R F and. Copyrght 014 John Wley & Sons, Inc. art - 7

8 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton The slope of the lne connectng a rskless asset and a rsky portfolo s the expected return on the portfolo nus the rsk-free rate dvded by the standard devaton of the return on the portfolo. Thus, the effcent set s deterned by fndng a portfolo wth the greatest rato of excess return to standard devaton that satsfes the constrant that the su of the proportons nvested n the assets equals 1. Chapter: 6 ART Secton : Splfyng the ortfolo Selecton rocess Multple Choce 1. If the returns on dfferent assets are uncorrelated: a. an ncrease n the nuber of assets n a portfolo ay brng the standard devaton of the portfolo close to zero. b. there wll be lttle gan fro dversfcaton. c. dversfcaton wll result n rsk averagng but not n rsk reducton. d. the expected return on a portfolo of such assets should be zero. A Chapter: 4. Usng the Sharpe sngle-ndex odel wth a rando portfolo of U.S. coon stocks, as one ncreases the nuber of stocks n the portfolo, the total rsk of the portfolo wll: a. approach zero. b. approach the portfolo's systeatc rsk. c. approach the portfolo's non-systeatc rsk. d. not be affected. Chapter: 7 art - 8.

9 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank 3. What s the concept behnd the ndexes used n the Faa and French Model? a. For portfolos wth standard devatons that c the pact of the varables. b. For portfolos wth returns that are opposte to the pact of the varables. c. For portfolos wth returns that c the pact of the varables. d. For portfolos wth standard devatons that are opposte to the pact of the varables. C Chapter: 8 4. Whch of the followng s true of a cutoff rate? a. The cutoff rate s be deterned by dvdng the eta wth the dfference between average return and return on the rskfree rate of the securtes. b. All securtes whose return s above the cutoff rate are selected n the arket portfolo. c. The cutoff rate s coputed fro the characterstcs of all securtes n the optu portfolo. d. All securtes whose rsk s below the cutoff rate are selected n the optu portfolo. C Chapter: 9 True-False Wth Dscusson 1. Dscuss whether the followng stateent s true or false: One can always construct a ult-ndex odel that explans ore of the returns on a securty than a sngle-ndex odel does. True The sngle-ndex odel assues that the stock prces ove together only because of coon oveent n the arket. Hence, the sngle ndex-odel derves returns on securtes wth the help of the arket oveent n whch the securtes are beng traded. Although, accordng to any researchers, there are nfluences beyond the arket that cause stocks to ove together. The ult-ndex odel ncludes two dfferent types of schees that have been put forth for handlng addtonal nfluences. Hence, the ultndex odel takes nto consderaton the return on securtes by ntroducng addtonal sources of covarance. y addng these addtonal nfluences, the ult-ndex odel explans ore of the returns to the general return equaton of the sngle-ndex odel. Chapter: 8. Dscuss whether the followng stateent s true or false: A ult-ndex odel wll predct returns better than a sngle-ndex odel. False The ult-ndex odel les n an nteredate poston between the full hstorcal Copyrght 014 John Wley & Sons, Inc. art - 9

10 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton correlaton atrx and the sngle-ndex odel n ts ablty to reproduce the hstorcal correlaton atrx. Addng ore ndexes coplcates thngs but result n a ore accurate representaton of the hstorcal correlaton atrx. However, ths does not ply that future correlaton atrces wll be forecast ore accurately. Chapter: 8 robles 1. Consder the followng data for assets A and : RA 10% R 19% A 3% 5% A A 0.4. a. Calculate the expected return, varance, and beta of a portfolo constructed by nvestng 1/3 of your funds n asset A and /3 n asset. b. If only the rskless asset and assets A and are avalable, fnd the optu rsky-asset portfolo f the rsk-free rate s 8%. a. Expected return on a portfolo = 1 R R 16% XR To construct the portfolo wth nvestents A and, the varance of the portfolos wll have to be calculated as: N 1 X N N 1 1 X X %. The eta of a portfolo can be calculated by the followng ethod: N 1 X b. Calculatng for arket varance we get,. art - 10.

11 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank Hence, 7.14 Now, e ( ea 6.43 e ) Securty Mean Return Excess Return eta Excess Return Over eta R R F e e 1 R R F e 1 e e A Z C C A = 4.50 C = ( C 1 1 R R 1 e F e C *) (As s lower than the excess return over rsk, we consder rate C *) R RF C * e C as the cutoff Z A Z Therefore, the optu portfolo wll have ts proporton of X 9.17% X 19.17%. Chapter: 7 and 9 A. Consder the followng data for assets A,, and C R A 1% R 8% R C 6% A Assue the varance of the arket portfolo s 0 and that a rskless asset exsts. Set up the C ea e ec Copyrght 014 John Wley & Sons, Inc. art - 11

12 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton frst-order condtons for the optu rsky-asset portfolo. Assung a rsk free rate of 5%, we get the followng values for the optu portfolo: Secu rty Mean Return Excess Return eta Excess Return over eta A C The cutoff rate C of for an optu portfolo can be found by the followng equaton: C 1 1 R 1 R F e e e R R F R R F e 1 e 1 e e C A (0 0.11) C ( ) C C (0 0.36) C 4.50 (C*) C C. 95 A C The rato of excess return over eta s hgher than the cutoff rate of 4.50 for only securty A. Hence, we conclude that only securty A s ncluded n the frst order equaton of the optal rsky portfolo. Chapter: 9 3. Consder the followng hstorcal data for the returns on assets A and and the arket portfolo: erod Asset A Asset Market ortfolo 1 10% 6% 4% 3% 6% 1% 3 5% % 5% 4 % 4% % 5 1% % 1% a. What s the covarance between asset A and asset? b. If the beta of asset s 0.5, what s the systeatc return and non-systeatc return for asset n each perod? a. erod Asset A Asset Asset A Average A (1) Asset Average () (1 ) art - 1.

13 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank Total 15 0 Average 3 4 Hence, the Covarance (A, ) = 5 = 0.4 b. Fro the gven nforaton, we know that the average return on asset s 4%, average return on arket s.6% and the eta of asset s 0.5. ased on ths nforaton, we can fnd the value of systeatc return ( ) and unsysteatc return ( e ). Hence,. 7 R R M To fnd the value of the unsysteatc rsk for all perods, we used the followng forula: R R e erod M R M R e R RM R M RM Hence, the systeatc return wll rean.7% for all perods. The unsysteatc return wll be 1.3% for perod 1,.8% for perod, 3.% for perod 3, 0.3% for perod 4 and 1.% for perod 5. Chapter: 7 4. The annual returns of Wonder Wdgets, Inc. and the S& 500 Coposte Index over the last ten years were as follows: Year Wonder Wdgets S& % 8.5% 10% 4.0% 3 1% 14.0% 4 0% 15.0% 5 0% 14.0% Copyrght 014 John Wley & Sons, Inc. art - 13

14 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton 6 15% 6.0% 7 5% 37.0% 8 30% 4.0% 9 10% 7.0% 10 3% 6.5% Fnd the followng for Wonder Wdgets: a. eta (βw, slope of regresson lne) b. Alpha (W, ntercept of regresson lne) c. Unsysteatc varance (σ W β Wσ ) d. Correlaton coeffcent (ρ) Year R t R Mt Rt R t Rt Rt Rt RtRt Rt Rt Rt Rt R t Total Mean R t R t a. eta: Rt Rt Rt Rt 10 Rt Rt t t t1 = 0.89 t1 = b. Alpha: R t R t t 10 t1 1 e = c. Unsysteatc Varance: e Rt R d. Correlaton Coeffcent: = 0.89 = art - 14.

15 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank Chapter: 7 5. You are the penson fund anager for a aor unversty wth $100 llon n an ndex fund that nvests n the S& 500 stocks. (The fund holds all the stocks n the ndex n proporton to ther arket values.) Due to recent pressure fro student groups, the regents have decded to dvest theselves of the stocks of frs that nvest n South Afrca. You estate that ths wll elnate 100 of the 500 stocks n your portfolo. You have been asked to evaluate the effect of the dvestture decson. You estate that the correlaton between acceptable and elnated stocks s 0.6. You also have the followng data: Acceptable Stocks Elnated Stocks Nuber of Frs Total Market Value $3 bllon $ bllon Average eta Standard Devaton 5% 30% a. What wll the effect of the dvestent be on the beta of your portfolo? (Report the beta before and after the dvestent.) b. How wll dvestent affect the standard devaton of your portfolo? (Report the standard devaton before and after the dvestent.) c. Assue that the standard devaton of the overall arket s 0%. What s the effect of dvestent on the proporton of your portfolo's rsk that s unsysteatc? (Report the proporton before and after the dvestent.) 3 a. X (efore dvestent) 5 5 After dvestent, the eta s gven as 1. N b. X X X 1 N N = 4.19% (efore dvestent). After dvestent, the standard devaton s gven as 5% c. If the standard devaton of the overall arket s 0%, and the standard devaton of the portfolo before dvestent was 4.19%. n 1 X e n X 1 e Copyrght 014 John Wley & Sons, Inc. art - 15

16 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton n X 1 e 1.01% (unsysteatc rsk before elnaton) n e n X 1 Chapter: 7 X 1 e.5% (unsysteatc rsk after elnaton) 6. A securty analyst works for a large nsttuton that uses the sngle-ndex odel as part of ts portfolo-anageent schee. The securty analyst beleves the followng values are relevant for the four stocks she follows RA e 14% 7.5 R ec 1% 9 RC ed 8% 10. RD 11% A C 1.0 D 1.0 ea 15 The nsttuton assues that the rsk-free rate s 6%, and short sellng s not allowed. The nsttuton accepts the Sharpe sngle-ndex odel and uses the procedure descrbed by Elton, Gruber and adberg (EG) to deterne the optu rsky-asset portfolo for the nsttuton to hold. The procedure s to copute Z e rankng crteron for asset C * where the rankng crteron s as descrbed by EG and where C * depends on all rsky assets the nsttuton holds. The nsttuton's anageent has deterned that C * = 3. a. Whch stocks that the analyst follows wll be held n the nsttuton's optu portfolo? b. If the su of the Z's for all the nsttuton's stocks n the optu portfolo s equal to 4, what fracton of the nsttuton's optu portfolo wll each of the stocks that the analyst follows represent? e c. Why should (dversfable rsk) enter nto the optal soluton? Securty Mean Return Excess Return R R ) ( F eta Excess Return over eta A C D a. f C * 3, the stocks A,, and D can be held n the optu portfolo, as ther e art - 16.

17 Modern ortfolo Theory and Investent Analyss, 9 th Edton Test ank excess return over eta s hgher than the cutoff rate. b. If the su of Zs ' for all the nsttuton s stocks n the optu portfolo equals 4, the fracton of the nsttuton s optu portfolo wll be represent as ZA/4, Z/4, and ZD/4. Hence, n ths case, the fracton of the nsttuton s optu portfolo can be found by usng the followng equaton: R RF Z C e Z Z Z A D Therefore, the fracton of the portfolo s ZA =0.13/4, Z = 0.0/4, and ZD = 0.0/4. Therefore, Stock A has a proporton of 3%, Stock has a 5% proporton and Stock D has a proporton of 5%. c. e s denoted as the varance of a stock s oveent that s not assocated wth the oveent of arket ndex. The resdual varance plays an portant role n deternng how uch to nvest n each securty. Chapter: 9 Essays 1. What s a stock's own varance and what s the covarance between two stocks f one accepts the Sharpe sngle-ndex odel? Explan why each s what t s. In a sngle-ndex odel for expected return, a securty s varance has two parts, unque rsk and arket-related rsk. The covarance depends only on the arket rsk. That s why the sngle-ndex odel ples that the only reason securtes ove together s a coon response to arket oveents. The odel s basc equaton s R R e. Where, denotes the expected value of the coponent of return nsenstve to the return on the arket, represents the rando eleent of the coponent, and s the constant eta used to easure the expected change n return on the securty n coparson to the return on arkets. The E R R varance of return on any securty s e E varance of e e as E R R R R e. Fro ths we understand that the. The covarance between any two securtes s descrbed. After substtutng the returns and average returns of the securtes wth the sngle-ndex odel, we get the stock s varance and the covarance between two stocks. We can hence fnd that the varance of a securty s return s Copyrght 014 John Wley & Sons, Inc. art - 17

18 Test ank Modern ortfolo Theory and Investent Analyss, 9 th Edton Chapter: 7 + e and the covarance of two securtes s. More download lnk: odern portfolo theory and nvestent analyss test bank free download saple odern portfolo theory and nvestent analyss soluton anual pdf odern portfolo theory and nvestent analyss pdf odern portfolo theory and nvestent analyss 8th edton pdf download odern portfolo theory and nvestent analyss elton pdf odern portfolo theory and nvestent analyss, 9th edton pdf odern portfolo theory and nvestent analyss 9th edton pdf download odern portfolo theory and nvestent analyss 6th edton pdf odern portfolo theory and nvestent analyss 9th edton solutons odern portfolo theory and nvestent analyss soluton anual pdf art - 18.

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

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

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

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

In this appendix, we present some theoretical aspects of game theory that would be followed by players in a restructured energy market.

In this appendix, we present some theoretical aspects of game theory that would be followed by players in a restructured energy market. Market Operatons n Electrc Power Systes: Forecastng, Schedulng, and Rsk Manageentg Mohaad Shahdehpour, Hat Yan, Zuy L Copyrght 2002 John Wley & Sons, Inc. ISBNs: 0-47-44337-9 (Hardback); 0-47-2242-X (Electronc)

More information

σ σ σ = = im i im is constant and then βi If is constant and ρim R i -rf σ ρ If i = M-V efficient portfolio p then Rp = = =

σ σ σ = = im i im is constant and then βi If is constant and ρim R i -rf σ ρ If i = M-V efficient portfolio p then Rp = = = F8000 Valuaton of Fnancal Assets Srng Seester 2010 Dr. Isabel Tkatch Assstant Professor of Fnance Today The Catal Asset Prcng Model Catal allocaton n rsky assets one rsk free asset CAPM equlbru β - A new

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

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

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

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

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 14

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 14 Elton, Gruer, Brown, nd Goetznn odern Portfolo Theory nd Investent Anlyss, 7th Edton Solutons to Text Proles: hpter 14 hpter 14: Prole 1 Gven the zero-et securty rket lne n ths prole, the return on the

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 16

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 16 lton, Gruer, rown, and Goetzmann Modern Portfolo Theory and Investment nalyss, 7th dton Solutons to Text Prolems: hapter 6 hapter 6: Prolem From the text we know that three ponts determne a plane. The

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

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

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

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

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

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

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions.

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions. Unversty of Washngton Summer 2001 Department of Economcs Erc Zvot Economcs 483 Mdterm Exam Ths s a closed book and closed note exam. However, you are allowed one page of handwrtten notes. Answer all questons

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

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

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

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 5 Student Lecture Notes 5-1

Chapter 5 Student Lecture Notes 5-1 Chapter 5 Student Lecture Notes 5-1 Basc Busness Statstcs (9 th Edton) Chapter 5 Some Important Dscrete Probablty Dstrbutons 004 Prentce-Hall, Inc. Chap 5-1 Chapter Topcs The Probablty Dstrbuton of a Dscrete

More information

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange)

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange) Internatonal Journal of Scence and Research (IJSR) ISS (Onlne): 319-7064 Index Coperncus Value (013): 6.14 Impact Factor (013): 4.438 Optmal Portfolo Constructon (A Case Study of LQ45 Index n Indonesa

More information

Quantitative Portfolio Theory & Performance Analysis

Quantitative Portfolio Theory & Performance Analysis 550.447 Quanttatve ortfolo Theory & erformance Analyss Wee of March 4 & 11 (snow), 013 ast Algorthms, the Effcent ronter & the Sngle-Index Model Where we are Chapters 1-3 of AL: erformance, Rs and MT Chapters

More information

Department of Econometrics and Business Statistics

Department of Econometrics and Business Statistics ISSN 44-77X Australa Departent o Econoetrcs and Busness Statstcs http://www.buseco.onash.edu.au/depts/ebs/pubs/wpapers/ Is systeatc downsde beta rsk really prced? Evdence n eergng arket data Don U.A. Galagedera

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

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

Optimum Centralized Portfolio Construction with. Decentralized Portfolio Management

Optimum Centralized Portfolio Construction with. Decentralized Portfolio Management Optmum Centralzed ortfolo Constructon wth ecentralzed ortfolo Management Edwn J. Elton*and Martn J. Gruber* October 8, 00 * Nomura rofessors of nance, Stern School of usness, New York Unversty. e would

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

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

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

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

Topic 6 Introduction to Portfolio Theory

Topic 6 Introduction to Portfolio Theory Topc 6 Introducton to ortfolo Theory 1. racttoners fundamental ssues. ortfolo optmzaton usng Markowtz effcent fronter 3. ortfolo dversfcaton & beta coeffcent 4. Captal asset prcng model 04/03/015 r. Dder

More information

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

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

Quantitative Portfolio Theory & Performance Analysis

Quantitative Portfolio Theory & Performance Analysis 550.447 Quanttatve Portfolo Theory & Perforance Analyss Week of Aprl 22, 2013 Portfolos of Fxed Incoe Securtes 1.1 Assgnent For Aprl 22 (Ths Week) Read: A&L, Chapter 8 Read: E&G Chapter 22 Probles E&G:

More information

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management To Rebalance or Not to Rebalance? Edward Qan, PhD, CFA PanAgora Asset anagement To Rebalance or Not to Rebalance It s not THE QUESTION but a very mportant one»to rebalance fxed-weght (FW); Not to Buy and

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

Risk, return and stock performance measures

Risk, return and stock performance measures Rsk, return and stock performance measures MIRELA MOMCILOVIC Hgher School of Professonal Busness Studes Vladmra Perca-Valtera 4, Nov Sad bznscentar@gmal.com http://www.vps.ns.ac.rs/sr/nastavnk.1.30.html?sn=237

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

A Comparison of Risk Return Relationship in the Portfolio Selection Models

A Comparison of Risk Return Relationship in the Portfolio Selection Models Proceedngs 59th ISI World Statstcs Congress, 5-30 August 03, Hong Kong (Sesson CPS00) p.3495 A Comparson of Rsk Return Relatonshp n the Portfolo Selecton Models C. W. Yang, Ken Hung,Yfan Zhao Claron Unversty

More information

Harry M. Markowitz. Investors Do Not Get Paid for Bearing Risk 1

Harry M. Markowitz. Investors Do Not Get Paid for Bearing Risk 1 Investors Do Not Get Pad for Bearng Rsk Harry M. Markowtz The relatonshp between the excess return of each securty and ts beta, where beta s defned as ts regresson aganst the return on the market portfolo,

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

Financial Research Center (FSA Institute) Financial Services Agency Government of Japan Kasumigaseki, Chiyoda-ku, Tokyo , Japan

Financial Research Center (FSA Institute) Financial Services Agency Government of Japan Kasumigaseki, Chiyoda-ku, Tokyo , Japan FSA Insttute Dscusson Paper Seres Pro-cyclcalty of The asel Captal Reureent Rato and Its Ipact on anks Naoyuk Yoshno and Toohro Hrano DP 00-3 March 0 Fnancal Research Center FSA Insttute Fnancal Servces

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

Chapter 5 Risk and return

Chapter 5 Risk and return Chapter 5 Rsk and return Instructor s resources Overvew Ths chapter focuses on the fundamentals of the rsk and return relatonshp of assets and ther valuaton. For the sngle asset held n solaton, rsk s measured

More information

Research on Strategic Analysis and Decision Modeling of Venture Portfolio

Research on Strategic Analysis and Decision Modeling of Venture Portfolio Journal of Investent and Manageent 08; 7(3): 9-0 http://www.scencepublshnggroup.co/j/j do: 0.648/j.j.080703.4 ISSN: 38-773 (Prnt); ISSN: 38-77 (Onlne) Research on Strategc Analyss and Decson Modelng of

More information

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) May 17, 2016 15:30 Frst famly name: Name: DNI/ID: Moble: Second famly Name: GECO/GADE: Instructor: E-mal: Queston 1 A B C Blank Queston 2 A B C Blank Queston

More information

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan Spatal Varatons n Covarates on Marrage and Martal Fertlty: Geographcally Weghted Regresson Analyses n Japan Kenj Kamata (Natonal Insttute of Populaton and Socal Securty Research) Abstract (134) To understand

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

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

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

Microeconomics: BSc Year One Extending Choice Theory

Microeconomics: BSc Year One Extending Choice Theory mcroeconomcs notes from http://www.economc-truth.co.uk by Tm Mller Mcroeconomcs: BSc Year One Extendng Choce Theory Consumers, obvously, mostly have a choce of more than two goods; and to fnd the favourable

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

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

Institute of Actuaries of India

Institute of Actuaries of India Insttute of ctuares of Inda Subject CT8-Fnancal Economcs ay 008 Examnaton INDICTIVE SOLUTION II CT8 0508 Q.1 a F0,5,6 1/6-5*ln0,5/0,6 Where, F0,5,6 s forard rate at tme 0 for delvery beteen tme 5 and 6

More information

Evaluating SEB Investment Strategy`s recommended Mutual Fund Portfolios

Evaluating SEB Investment Strategy`s recommended Mutual Fund Portfolios MÄLARDALEN UNIVERSITY Stockholm, 010-06-03 Department of Mathematcs Master Thess n Mathematcs Tutor: Lars Pettersson Evaluatng SEB Investment Strategy`s recommended Mutual Fund Portfolos Alexander Rostam

More information

Downside Systematic Risk in Australian Listed Property Trusts

Downside Systematic Risk in Australian Listed Property Trusts ownsde Systeatc Rsk n Australan Lsted Property Trusts Chy Ln Lee*, Jon Robnson and Rchard Reed Faculty of Archtecture, Buldng and Plannng The Unversty of Melbourne Melbourne 3010, Vctora, Australa Eals:

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

Diversified Portfolio: Evidence from Bombay Stock Exchange (BSE) in India

Diversified Portfolio: Evidence from Bombay Stock Exchange (BSE) in India Dversfed Portfolo: Evdence from Bombay Stock Exchange (BSE) n Inda Aro Internatonal Research Journal May, 2016 Volume VI, ISSN: 2320-3714 Dversfed Portfolo: Evdence from Bombay Stock Exchange (BSE) n Inda

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

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

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

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages Precalculus: Matheatcs of Fnance Concepts: sple nterest, copound nterest, annual percentage yeld, copoundng contnuously, ortgages Note: These topcs are all dscussed n the text, but I a usng slghtly dfferent

More information

THE MARKET PORTFOLIO MAY BE MEAN-VARIANCE EFFICIENT AFTER ALL

THE MARKET PORTFOLIO MAY BE MEAN-VARIANCE EFFICIENT AFTER ALL THE ARKET PORTFOIO AY BE EA-VARIACE EFFICIET AFTER A OSHE EVY and RICHARD RO ABSTRACT Testng the CAP bols down to testng the mean-varance effcency of the market portfolo. any studes have examned the meanvarance

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

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

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

Chapter 3 Descriptive Statistics: Numerical Measures Part B

Chapter 3 Descriptive Statistics: Numerical Measures Part B Sldes Prepared by JOHN S. LOUCKS St. Edward s Unversty Slde 1 Chapter 3 Descrptve Statstcs: Numercal Measures Part B Measures of Dstrbuton Shape, Relatve Locaton, and Detectng Outlers Eploratory Data Analyss

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

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

The Effect of Market Structure and Conduct on the Incentive for a Horizontal Merger

The Effect of Market Structure and Conduct on the Incentive for a Horizontal Merger Volue 5, Nuber, June 000 The Effect of Market Structure and Conduct on the Incentve for a Horzontal Merger Hyukseung Shn In ths paper, we exane how arket structure and frs conduct affect the prvate ncentve

More information

3 Portfolio Management

3 Portfolio Management Mathematcal Modelng Technques 69 3 ortfolo Management If all stock predctons were perfect, portfolo management would amount to the transfer of funds to the commodty that promses the hghest return 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

Simple Regression Theory II 2010 Samuel L. Baker

Simple Regression Theory II 2010 Samuel L. Baker SIMPLE REGRESSIO THEORY II Smple Regresson Theory II 00 Samuel L. Baker Assessng how good the regresson equaton s lkely to be Assgnment A gets nto drawng nferences about how close the regresson lne mght

More information

Chapter 3 Student Lecture Notes 3-1

Chapter 3 Student Lecture Notes 3-1 Chapter 3 Student Lecture otes 3-1 Busness Statstcs: A Decson-Makng Approach 6 th Edton Chapter 3 Descrbng Data Usng umercal Measures 005 Prentce-Hall, Inc. Chap 3-1 Chapter Goals After completng ths chapter,

More information

Risk Reduction and Real Estate Portfolio Size

Risk Reduction and Real Estate Portfolio Size Rsk Reducton and Real Estate Portfolo Sze Stephen L. Lee and Peter J. Byrne Department of Land Management and Development, The Unversty of Readng, Whteknghts, Readng, RG6 6AW, UK. A Paper Presented at

More information

Merton-model Approach to Valuing Correlation Products

Merton-model Approach to Valuing Correlation Products Merton-model Approach to Valung Correlaton Products Vral Acharya & Stephen M Schaefer NYU-Stern and London Busness School, London Busness School Credt Rsk Electve Sprng 2009 Acharya & Schaefer: Merton

More information

Financial Risk Management in Portfolio Optimization with Lower Partial Moment

Financial Risk Management in Portfolio Optimization with Lower Partial Moment Amercan Journal of Busness and Socety Vol., o., 26, pp. 2-2 http://www.ascence.org/journal/ajbs Fnancal Rsk Management n Portfolo Optmzaton wth Lower Partal Moment Lam Weng Sew, 2, *, Lam Weng Hoe, 2 Department

More information

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x Whch of the followng provdes the most reasonable approxmaton to the least squares regresson lne? (a) y=50+10x (b) Y=50+x (c) Y=10+50x (d) Y=1+50x (e) Y=10+x In smple lnear regresson the model that s begn

More information

A UNIFIED FRAMEWORK TO ANALYZE CLASSICAL RISK MEASURES IN FINANCE

A UNIFIED FRAMEWORK TO ANALYZE CLASSICAL RISK MEASURES IN FINANCE A UNIFIED FRAMEWORK TO ANALYZE CLASSICAL RISK MEASURES IN FINANCE FRANCESCO M. ARIS* Unversty of Bresca *Departent of Quanttatve Methods. Contrada S. Chara 50. 5 Bresca. Italy. Tel. 030-98859; Fax 030-40095;

More information

Inference on Reliability in the Gamma and Inverted Gamma Distributions

Inference on Reliability in the Gamma and Inverted Gamma Distributions Statstcs n the Twenty-Frst Century: Specal Volue In Honour of Dstngushed Professor Dr. Mr Masoo Al On the Occason of hs 75th Brthday Annversary PJSOR, Vol. 8, No. 3, pages 635-643, July Jungsoo Woo Departent

More information

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation Calbraton Methods: Regresson & Correlaton Calbraton A seres of standards run (n replcate fashon) over a gven concentraton range. Standards Comprsed of analte(s) of nterest n a gven matr composton. Matr

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

- 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

Physics 4A. Error Analysis or Experimental Uncertainty. Error

Physics 4A. Error Analysis or Experimental Uncertainty. Error Physcs 4A Error Analyss or Expermental Uncertanty Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 0 Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 20 Slde 2 Error n

More information

Bayes Nets Representing and Reasoning about Uncertainty (Continued)

Bayes Nets Representing and Reasoning about Uncertainty (Continued) Bayes Nets Representng and Reasonng about Uncertanty ontnued) obnng the wo Eaples I a at work y neghbor John calls to say that y alar went off y neghbor Mary doesn t call. Soetes the alar s set off by

More information

Efficient Project Portfolio as a Tool for Enterprise Risk Management

Efficient Project Portfolio as a Tool for Enterprise Risk Management Effcent Proect Portfolo as a Tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company Enterprse Rsk Management Symposum Socety of Actuares Chcago,

More information

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique.

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique. 1.7.4 Mode Mode s the value whch occurs most frequency. The mode may not exst, and even f t does, t may not be unque. For ungrouped data, we smply count the largest frequency of the gven value. If all

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

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

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

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

Accounting Information, Disclosure, and the Cost of Capital

Accounting Information, Disclosure, and the Cost of Capital Unversty of Pennsylvana ScholarlyCommons Accountng Papers Wharton Faculty Research 5-2007 Accountng Informaton, Dsclosure, and the Cost of Captal Rchard A. Lambert Unversty of Pennsylvana Chrstan Leuz

More information

02_EBA2eSolutionsChapter2.pdf 02_EBA2e Case Soln Chapter2.pdf

02_EBA2eSolutionsChapter2.pdf 02_EBA2e Case Soln Chapter2.pdf 0_EBAeSolutonsChapter.pdf 0_EBAe Case Soln Chapter.pdf Chapter Solutons: 1. a. Quanttatve b. Categorcal c. Categorcal d. Quanttatve e. Categorcal. a. The top 10 countres accordng to GDP are lsted below.

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

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

An inductive proof for a closed form formula in truncated inverse sampling

An inductive proof for a closed form formula in truncated inverse sampling Journal of Proagatons n Probablty and Statstcs Vol. No. August Internatonal ed.. 7- An nductve roof for a closed for forula n truncated nverse salng Kuang-Chao Chang Fu Jen Catholc Unversty Abstract Inverse

More information