Elton, Gruber, Brown and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 4
|
|
- Magdalen Sullivan
- 5 years ago
- Views:
Transcription
1 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 probablty. Expected return of Asset 1 R1 16% % % 0.5 1% R 6%; R 3 14%; R 4 1% Standard devaton of return s the square root of the sum of the squares of each outcome mnus the mean tmes the assocated probablty. Standard devaton of Asset 1 σ 1 [(16% 1%) (1% 1%) (8% 1%) 0.5] 1/ 8 1/.83% σ 1/ 1.41%; σ / 4.4%; σ / 3.7% B. Covarance of return between Assets 1 and σ 1 (16 1) (4 6) (1 1) (6 6) (8 1) (8 6) The varance/covarance matrx for all pars of assets s: Correlaton of return between Assets 1 and ρ The correlaton matrx for all pars of assets s: Elton, Gruber, Brown, and Goetzmann 4-1 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
2 C. ortfolo Expected Return A 1/ 1% + 1/ 6% 9% B 13% C 1% D 10% E 13% F 1/3 1% + 1/3 6% + 1/3 14% 10.67% G 10.67% H 1.67% I 1/4 1% + 1/4 6% + 1/4 14% + 1/4 1% 11% ortfolo Varance A (1/) 8 + (1/) + 1/ 1/ ( 4) 0.5 B 1.5 C 4.6 D E 7 F (1/3) 8 + (1/3) + (1/3) /3 1/3 ( 4) + 1/3 1/ /3 1/3 ( 6) 3.6 G H 6.7 I (1/4) 8 + (1/4) + (1/4) 18 + (1/4) /4 1/4 ( 4) + 1/4 1/ /4 1/ /4 1/4 ( 6) + 1/4 1/ /4 1/4 0.7 Elton, Gruber, Brown, and Goetzmann 4- Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
3 Chapter 4: roblem A. Monthly Returns Month Securty A 3.7% 0.4% -6.5% 1.4% 6.%.1% B 10.5% 0.5% 3.7% 1.0% 3.4% -1.4% C 1.4% 14.9% -1.4% 10.8% 4.9% 16.9% B. Sample Average (Mean) Monthly Returns R A ( 3.7% + 0.4% 6.5% + 1.4% + 6.% +.1% ) 6 1.% R B.95% R C 7.9% C. Sample Standard Devatons of Monthly Returns σ A ( 3.7% 1.% ) + ( 0.4% 1.% ) + ( 6.5% 1.% ) + ( 1.4% 1.% ) + ( 6.% 1.% ) + (.1% 1.% ) % σ B % σ C % Elton, Gruber, Brown, and Goetzmann 4-3 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
4 σ AB D. Sample Covarances and Correlaton Coeffcents of Monthly Returns ( 3.7% 1.% ) ( 10.5%.95% ) + ( 0.4% 1.% ) ( 0.5%.95% ) + ( 6.5% 1.% ) ( 3.7%.95% ) + ( 1.4% 1.% ) ( 1.0%.95% ) + ( 6.% 1.% ) ( 3.4%.95% ) + (.1% 1.% ) ( 1.4%.95% ).17 σ 7.4 ; σ AC ρ AB BC ρ 0.7 ; ρ AC BC 6 E. ortfolo Returns and Standard Devatons ortfolo 1 (X1 1/; X 1/; X3 0): R 1 1/ 1.% + 1/.95% %.09% σ 1 ( 1/ ) ( 1/ ) ( 1/ 1/ / / ) % ortfolo (X1 1/; X 0; X3 1/): R 4.57% σ % ortfolo 3 (X1 0; X 1/; X3 1/): R % σ % ortfolo 4 (X1 1/3; X 1/3; X3 1/3): R % σ % Elton, Gruber, Brown, and Goetzmann 4-4 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
5 Chapter 4: roblem 3 It s shown n the text below Table 4.8 that a formula for the varance of an equally weghted portfolo (where X 1/N for 1,, N securtes) s ( σ σ ) σ σ 1/N + j where σ j s the average varance across all securtes, σ s the average covarance across all pars of securtes, and N s the number of securtes. Usng the above formula wth σ j 50 and σ 10 we have: ortfolo Sze (N) σ Chapter 4: roblem 4 As s shown n the text, as the number of securtes (N) approaches nfnty, an equally weghted portfolo s varance (total rsk) approaches a mnmum equal to the average covarance of the pars of securtes n the portfolo, whch n roblem 3 s gven as 10. Therefore, 10% above the mnmum rsk level would result n the portfolo s varance beng equal to 11. Settng the formula shown n the above answer to roblem 3 equal to 11 and usng σ j 50 and σ 10 we have: σ 1/ N ( 50 10) Solvng the above equaton for N gves N 40 securtes. Elton, Gruber, Brown, and Goetzmann 4-5 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
6 Chapter 4: roblem 5 As shown n the text, f the portfolo contans only one securty, then the portfolo s average varance s equal to the average varance across all securtes, σ j. If nstead an equally weghted portfolo contans a very large number of securtes, then ts varance wll be approxmately equal to the average covarance of the pars of securtes n the portfolo, σ. Therefore, the fracton of rsk that of an ndvdual securty that can be elmnated by holdng a large portfolo s expressed by the followng rato: σ σ σ From Table 4.9, the above rato s equal to 0.6 (60%) for Italan securtes and 0.8 (80%) for Belgan securtes. Settng the above rato equal to those values and solvng for σ gves σ 0.4σ for Italan securtes and σ 0.σ for Belgan securtes. Thus, the rato 0.σ σ 0.σ σ σ σ 4 for Belgan securtes. σ 0.4σ equals σ for Italan securtes and If the average varance of a sngle securty, σ j, n each country equals 50, then σ 0.4σ for Italan securtes and σ 0.σ for Belgan securtes. Usng the formula shown n the precedng answer to roblem 3 wth σ j 50 and ether σ 0 for Italy or σ 10 for Belgum we have: ortfolo Sze (N securtes) Italan σ Belgan σ Elton, Gruber, Brown, and Goetzmann 4-6 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
7 Chapter 4: roblem 6 The formula for an equally weghted portfolo's varance that appears below Table 4.8 n the text s ( σ σ ) σ σ 1/N + j where σ j s the average varance across all securtes, σ s the average covarance across all securtes, and N s the number of securtes. The text below Table 4.8 states that the average varance for the securtes n that table was and that the average covarance was Usng the above equaton wth those two numbers, settng σ equal to 8, and solvng for N gves: 8 1/N ( ) N N Snce the portfolo's varance decreases as N ncreases, holdng 4 securtes wll provde a varance less than 8, so 4 s the mnmum number of securtes that wll provde a portfolo varance less than 8. Elton, Gruber, Brown, and Goetzmann 4-7 Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons To Text roblems: Chapter 4
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 informationElton, 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 informationPrinciples 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 informationFinal 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 informationTests 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 informationEvaluating 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 informationChapter 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 informationLinear 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 informationMutual 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 informationTeaching 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 information4. 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 informationTest Bank to accompany Modern Portfolio Theory and Investment Analysis, 9 th Edition
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: https://testbankarea.co/download/odern-portfolotheory-nvestent-analyss-9th-edton-test-bank-eltongruber-brown-goetzann/
More informationTo 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 informationData Mining Linear and Logistic Regression
07/02/207 Data Mnng Lnear and Logstc Regresson Mchael L of 26 Regresson In statstcal modellng, regresson analyss s a statstcal process for estmatng the relatonshps among varables. Regresson models are
More information3: Central Limit Theorem, Systematic Errors
3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several
More informationRisk 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 informationChapter 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 informationQuantitative 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 informationChapter 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 informationMgtOp 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 informationPhysics 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 informationInvestment 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 informationIntroduction. 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 informationAppendix - 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 informationFinance 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 informationTCOM501 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 informationOptimal 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 informationOptimum 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 informationElton, 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 informationMerton-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 informationProblem 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 informationClearing 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 informationII. 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 informationCorrelations and Copulas
Correlatons and Copulas Chapter 9 Rsk Management and Fnancal Insttutons, Chapter 6, Copyrght John C. Hull 2006 6. Coeffcent of Correlaton The coeffcent of correlaton between two varables V and V 2 s defned
More informationHow diversifiable is firm-specific risk? James Bennett. and. Richard W. Sias * October 20, 2006
How dversfable s frm-specfc rsk? James Bennett and Rchard W. Sas * October 0, 006 JEL: G0, G, G, G4 Keywords: dversfcaton, dosyncratc rsk * Bennett s from the Department of Accountng and Fnance, Unversty
More informationConsumption 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 informationMeasures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.
Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng
More informationBasket options and implied correlations: a closed form approach
Basket optons and mpled correlatons: a closed form approach Svetlana Borovkova Free Unversty of Amsterdam CFC conference, London, January 7-8, 007 Basket opton: opton whose underlyng s a basket (.e. a
More informationISE High Income Index Methodology
ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s
More informationOPERATIONS 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 informationEDC 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 informationOn the Optimal Selection of Portfolios under Limited Diversification
On the Optmal Selecton of Portfolos under Lmted Dversfcaton Jay Sankaran Department of Management Scence and Informaton Systems Unversty of Auckland New Zealand j.sankaran@auckland.ac.nz C. Krshnamurt
More informationPhysicsAndMathsTutor.com
PhscsAndMathsTutor.com phscsandmathstutor.com June 2005 6. A scentst found that the tme taken, M mnutes, to carr out an eperment can be modelled b a normal random varable wth mean 155 mnutes and standard
More informationSOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory
SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Interest Theory Ths page ndcates changes made to Study Note FM-09-05. January 14, 014: Questons and solutons 58 60 were added.
More informationTopic 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 information3 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 informationMultifactor Term Structure Models
1 Multfactor Term Structure Models A. Lmtatons of One-Factor Models 1. Returns on bonds of all maturtes are perfectly correlated. 2. Term structure (and prces of every other dervatves) are unquely determned
More informationHybrid Tail Risk and Expected Stock Returns: When Does the Tail Wag the Dog?
Hybrd Tal Rsk and Expected Stock Returns: When Does the Tal Wag the Dog? Turan G. Bal, a Nusret Cakc, b and Robert F. Whtelaw c* ABSTRACT Ths paper ntroduces a new, hybrd measure of covarance rsk n the
More informationEfficient 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 informationGeneral Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions
HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examnaton n Mcroeconomc Theory Fall 2010 1. You have FOUR hours. 2. Answer all questons PLEASE USE A SEPARATE BLUE BOOK FOR EACH QUESTION AND WRITE THE
More informationDiscounted Cash Flow (DCF) Analysis: What s Wrong With It And How To Fix It
Dscounted Cash Flow (DCF Analyss: What s Wrong Wth It And How To Fx It Arturo Cfuentes (* CREM Facultad de Economa y Negocos Unversdad de Chle June 2014 (* Jont effort wth Francsco Hawas; Depto. de Ingenera
More informationTests 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 informationS yi a bx i cx yi a bx i cx 2 i =0. yi a bx i cx 2 i xi =0. yi a bx i cx 2 i x
LEAST-SQUARES FIT (Chapter 8) Ft the best straght lne (parabola, etc.) to a gven set of ponts. Ths wll be done by mnmzng the sum of squares of the vertcal dstances (called resduals) from the ponts to the
More informationPASS Sample Size Software. :log
PASS Sample Sze Software Chapter 70 Probt Analyss Introducton Probt and lot analyss may be used for comparatve LD 50 studes for testn the effcacy of drus desned to prevent lethalty. Ths proram module presents
More informationInterval Estimation for a Linear Function of. Variances of Nonnormal Distributions. that Utilize the Kurtosis
Appled Mathematcal Scences, Vol. 7, 013, no. 99, 4909-4918 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.1988/ams.013.37366 Interval Estmaton for a Lnear Functon of Varances of Nonnormal Dstrbutons that
More information4.3 DJIA. From French Franc to Euro (7-2)
4.3 DJIA The Dow Jones ndex frst ht 1,000 onts on November 14 197, 80 years after ts launchng. But t took only 14 years for the ndex to reach,000 onts (January, 8, 1987. Has the market grown too fast over
More informationNotes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.
UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2016-17 BANKING ECONOMETRICS ECO-7014A Tme allowed: 2 HOURS Answer ALL FOUR questons. Queston 1 carres a weght of 30%; queston 2 carres
More informationAn Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates
Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal
More informationEvaluating 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 informationPerformance attribution involves
STUART MORGA s an analyst at Wngate Asset Management n Melbourne, Australa. stuart.morgan@wngategrou. com.au Performance Attrbuton of Otons: Defnng Sngle-Stock Oton Exosures and Understandng the Brnson-Fachler
More informationUnderstanding 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 informationAsian basket options. in oil markets
Asan basket optons and mpled correlatons n ol markets Svetlana Borovkova Vre Unverstet Amsterdam, he etherlands Jont work wth Ferry Permana (Bandung) Basket opton: opton whose underlyng s a basket (e a
More informationLecture 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 information02_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>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 informationHomework 9: due Monday, 27 October, 2008
PROBLEM ONE Homework 9: due Monday, 7 October, 008. (Exercses from the book, 6 th edton, 6.6, -3.) Determne the number of dstnct orderngs of the letters gven: (a) GUIDE (b) SCHOOL (c) SALESPERSONS. (Exercses
More informationCracking VAR with kernels
CUTTIG EDGE. PORTFOLIO RISK AALYSIS Crackng VAR wth kernels Value-at-rsk analyss has become a key measure of portfolo rsk n recent years, but how can we calculate the contrbuton of some portfolo component?
More informationProspect 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 informationChapter 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 informationUNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions
UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson
More informationRisk 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 informationInstitute 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 informationFM303. 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 informationOption pricing and numéraires
Opton prcng and numérares Daro Trevsan Unverstà degl Stud d Psa San Mnato - 15 September 2016 Overvew 1 What s a numerare? 2 Arrow-Debreu model Change of numerare change of measure 3 Contnuous tme Self-fnancng
More informationChapter 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 informationDiversified 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 informationGeometric Brownian Motion Model for U.S. Stocks, Bonds and Inflation: Solution, Calibration and Simulation
Geometrc Brownan Moton Model for U.S. Stocks, and Inflaton: Soluton, Calbraton and Smulaton Frederck Novomestky Comments and suggestons are welcome. Please contact the author for ctaton. Intal Draft: June
More informationSpatial 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 information3/3/2014. 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 informationTHE 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 informationσ may be counterbalanced by a larger
Questons CHAPTER 5: TWO-VARIABLE REGRESSION: INTERVAL ESTIMATION AND HYPOTHESIS TESTING 5.1 (a) True. The t test s based on varables wth a normal dstrbuton. Snce the estmators of β 1 and β are lnear combnatons
More informationHedging Greeks for a portfolio of options using linear and quadratic programming
MPRA Munch Personal RePEc Archve Hedgng reeks for a of otons usng lnear and quadratc rogrammng Panka Snha and Archt Johar Faculty of Management Studes, Unversty of elh, elh 5. February 200 Onlne at htt://mra.ub.un-muenchen.de/20834/
More informationChapter 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 informationREFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY
REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index
More informationHarry 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 informationBas Peeters 1,2 Cees L. Dert 1,3 André Lucas 1,4
TI 2003-090/2 Tnbergen Insttute Dscusson Paper Black Scholes for Portfolos of Optons n Dscrete Tme Bas Peeters 1,2 Cees L. Dert 1,3 André Lucas 1,4 1 Faculty of Economcs and Busness Admnstraton, Vrje Unverstet
More informationChapter 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 informationMidterm 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 informationAlternatives to Shewhart Charts
Alternatves to Shewhart Charts CUSUM & EWMA S Wongsa Overvew Revstng Shewhart Control Charts Cumulatve Sum (CUSUM) Control Chart Eponentally Weghted Movng Average (EWMA) Control Chart 2 Revstng Shewhart
More informationarxiv: v2 [q-fin.pr] 12 Oct 2013
Lower Bound Approxmaton to Basket Opton Values for Local Volatlty Jump-Dffuson Models Guopng Xu and Harry Zheng arxv:1212.3147v2 [q-fn.pr 12 Oct 213 Abstract. In ths paper we derve an easly computed approxmaton
More informationGraphical Methods for Survival Distribution Fitting
Graphcal Methods for Survval Dstrbuton Fttng In ths Chapter we dscuss the followng two graphcal methods for survval dstrbuton fttng: 1. Probablty Plot, 2. Cox-Snell Resdual Method. Probablty Plot: The
More informationNotes on experimental uncertainties and their propagation
Ed Eyler 003 otes on epermental uncertantes and ther propagaton These notes are not ntended as a complete set of lecture notes, but nstead as an enumeraton of some of the key statstcal deas needed to obtan
More informationISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison
ISyE 512 hapter 9 USUM and EWMA ontrol harts Instructor: Prof. Kabo Lu Department of Industral and Systems Engneerng UW-Madson Emal: klu8@wsc.edu Offce: Room 317 (Mechancal Engneerng Buldng) ISyE 512 Instructor:
More informationWhich 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 informationChapter - IV. Total and Middle Fuzzy Graph
Chapter - IV otal and Mddle Fuzzy Graph CHAPER - IV OAL AND MIDDLE FUZZY GRAPH In ths chapter for the gven fuzzy graph G:(σ, µ), subdvson fuzzy graph sd(g) : ( σ sd, µ sd ), square fuzzy graph S 2 ( G)
More informationTree-based and GA tools for optimal sampling design
Tree-based and GA tools for optmal samplng desgn The R User Conference 2008 August 2-4, Technsche Unverstät Dortmund, Germany Marco Balln, Gulo Barcarol Isttuto Nazonale d Statstca (ISTAT) Defnton of the
More informationThe Integration of the Israel Labour Force Survey with the National Insurance File
The Integraton of the Israel Labour Force Survey wth the Natonal Insurance Fle Natale SHLOMO Central Bureau of Statstcs Kanfey Nesharm St. 66, corner of Bach Street, Jerusalem Natales@cbs.gov.l Abstact:
More informationScribe: Chris Berlind Date: Feb 1, 2010
CS/CNS/EE 253: Advanced Topcs n Machne Learnng Topc: Dealng wth Partal Feedback #2 Lecturer: Danel Golovn Scrbe: Chrs Berlnd Date: Feb 1, 2010 8.1 Revew In the prevous lecture we began lookng at algorthms
More informationPortfolio Strategies for hedging against Rand weakness
Portfolo Strateges for hedgng aganst Rand weakness GDI Barr, C Holdsworth and BS Kantor* Unversty of Cape Town November 2006 * respectvely, Professor n the department of Statstcal Scences, graduate researcher
More informationoccurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of
Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually
More information