IAPM June 2012 Second Semester Solutions

Size: px
Start display at page:

Download "IAPM June 2012 Second Semester Solutions"

Transcription

1 IAPM June 202 Second Semester Solutions The calculations are given below. A good answer requires both the correct calculations and an explanation of the calculations. Marks are lost if explanation is absent. 5. a. r p = X A r A + X C r C = = 0. σ 2 p = X 2 Aσ 2 A + X 2 Cσ 2 C + 2X A X C ρ AC σ A σ C = = b. r p = X A r A + X B r B = = σ 2 p = XAσ 2 2 A + XBσ 2 2 B + 2X A X B ρ AB σ A σ B 2 2 = = c. r p = X A r A + X B r B + X C r C = = 0.2 σ 2 p = XAσ 2 2 A + XBσ 2 2 B + XCσ 2 2 C + 2X A X B ρ AB σ A σ B + 2X A X C ρ AC σ A σ C + 2X B X C ρ BC σ B σ C = = d. r p = =

2 6 σ 2 p = = e. The logic is: invest e.g. 00 in risky assets. 0% borrowing means that 0 is borrowed money which is formally an investment of - 0 in the risk-free asset. The protfolio proportions then satisfy X P + X f =, Solving this pair of equations gives Using these X f X P X P = 0 2, X f = 9 2 r P = = = σ 2 p = = ii. a. σ p = 0.5 X A X A X A X A r P = X A X A 0.2 The assets have perfect negative correlation. The minimum variance portfolio is σ C 0.07 X A = = σ A + σ C = 7, X C = 7 with expected return b. σ p = r P = = X B X B X B X B r P = X B X B 0.2 2

3 X A=0,X C= r = 0.09 X A=,X C= Risk free asset must have same return as the mvp with assets A and C otherwise arbitrage will occur. In this case the MV P has a return of r = 0.09 which is much higher than the rist-free rate of iii. Only A and B. Use the frontier to talk about a move. More risk averse means indifference curve becomes steeper. Tangency point moves round the frontier to the left. This implies proportion of A rises, proportion of B falls. 6. i Based on pages 5-54 of module lecture notes. ii Based on pages 0-07 Markovitz model and pages CAPM model of module lecture notes. iii Based on pages 54-6 of module lecture notes. iv This requires individual interpretation of the meaning of CAPM and the expression of personal opinions. An answer should at least make reference to the Separation Theorem and the role of the market portfolio. 7. i. The single index model assumes that the return on any asset i is determined by the process r i = α i + β i r I + ε i, where r i is the return on asset i and r I is the return on an index. The terms α i and β i are constants, and ε i is a random error term. What this model says is that the return on the asset is linearly related to a single common influence and that this influence is summarized by the return, r I, on an index. This return is the aggregate variable. Furthermore, the return on the asset is not completely determined by the return on the index so there is some residual variation unexplained by the index - the random error, ε i. As will be shown

4 below, this process for the generation of returns greatly simplifies the calculation of variance of return on a portfolio. The single-index model is completed by adding to the specification in three assumptions on the structure of the errors, ε i :. The expected error is zero: E [ε i ] = 0, i =,..., N; 2. The error and the return on the index are uncorrelated: E [ε i r I r I ] = 0, i =,..., N;. The errors are uncorrelated between assets: E [ε i ε j ] = 0, i =,..., N, j =,..., N, i j. ii. a. The expected returns on the three assets are b. r i = α i + β i r I r A = = 2.2 r B = = 8. r C = = 0.8 σ 2 i = β 2 i σ 2 I + σ 2 εi σ 2 A = = 904 σ 2 B = = 409 σ 2 C = = iii. The portfolio frontier for A and B is generated from r p = X A X A 8. The portfolio beta is β p = X A.2 + X A 0.8 The portfolio variance σ 2 p = β 2 pσ 2 I + XAσ 2 2 εa + X A 2 σ 2 ε B = X A.2 + X A X A X A 2 2 Would you short sell A? This takes you off the left-hand end of the curve. But since this does not bend back there is no problem with this strategy. 4

5 4 2 0 iv. Consistent with CAPM? The CAPM returns from the security market line are r i = r f + β i [ r I r f ] r A = = r B = = 9 r C = = 0.5 They are not consistent. Logic: if CAPM is true, then single index will hold if index is the market as it is here. Single index can be true even if CAPM is not. Here, CAPM is not verified. But this does not establish that single index is true. 8. i. Based on pages of mudule lecture notes. ii. This is the basic binomial valuation argument. It is not put-call parity. Hold call short D units of the stock. Payoff from portfolio in up state is: S=8, E=0, us= 2, ds=9. Pu = Vu - DuS = max{2-0,0} - D2 = 2 - D2 Payoff in down state Pd = Vd - DdS = max{9-0, 0} - D9 = 0 - D9 This is risk-free if Pu = Pd 2 D2 = 0 D9 5

6 or D = 2. c. The portfolio costs Vc - DS = Vc - 6 Hence V c 6 = + r So V c = 6 + r 8. It delivers Pu = Pd = for sure. Noting that d = 9/8 so =r > 9/8, hence Vc>0. iii. All binomial questions should be accompanied by a correctly labelled binomial tree. S = 20, us = 24, u =.2, ds = 8, d = 0.9, E = 22, R =., q = R d = 2. The payoffs are V u = max{e us,0}= max{22 24,0}=0 V d = max{e ds,0}= max{22 8,0}=4 u d = The option value is V = =.22 iii. a. S = 20, u 2 S = 24, d 2 S = 8, u 2 20 = u = = d 2 20 = d = = R =. 0.5 =.0488 q = R d u d = = uds= =

7 The payoffs are V uu = max{e uus, 0} = max{22 24, 0} = 0 V ud = max{e uds, 0} = max{ , 0} =.28 V dd = max{e dds,0}= max{22 8,0}=4 This gives the option value V = R 2 q 2 V u + 2q qv ud + q 2 V dd = = b. All binomial questions should be accompanied by a correctly labelled binomial tree. S = 20, u S = 24, d S = 8, The payoffs are u 20 = 24 / 24 u = = d 20 = 8 / 8 d = = R =. / =.02 q = R d u d = = u 2 ds = = ud 2 S = = V uuu = max{e uus, 0} = max{22 24, 0} = 0 V uud = max{e uus, 0} = max{ , 0} = 0.95 V udd = max{e uds, 0} = max{ , 0} = 2.9 V ddd = max{e dds,0}= max{22 8,0}=4 7

8 This gives the option value V = R 0 + q 2 qv uud + q q 2 V ddu + q V ddd = =

Put-Call Parity. Put-Call Parity. P = S + V p V c. P = S + max{e S, 0} max{s E, 0} P = S + E S = E P = S S + E = E P = E. S + V p V c = (1/(1+r) t )E

Put-Call Parity. Put-Call Parity. P = S + V p V c. P = S + max{e S, 0} max{s E, 0} P = S + E S = E P = S S + E = E P = E. S + V p V c = (1/(1+r) t )E Put-Call Parity l The prices of puts and calls are related l Consider the following portfolio l Hold one unit of the underlying asset l Hold one put option l Sell one call option l The value of the portfolio

More information

1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and

1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and CHAPTER 13 Solutions Exercise 1 1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and (13.82) (13.86). Also, remember that BDT model will yield a recombining binomial

More information

B8.3 Week 2 summary 2018

B8.3 Week 2 summary 2018 S p VT u = f(su ) S T = S u V t =? S t S t e r(t t) 1 p VT d = f(sd ) S T = S d t T time Figure 1: Underlying asset price in a one-step binomial model B8.3 Week 2 summary 2018 The simplesodel for a random

More information

Option Valuation with Binomial Lattices corrected version Prepared by Lara Greden, Teaching Assistant ESD.71

Option Valuation with Binomial Lattices corrected version Prepared by Lara Greden, Teaching Assistant ESD.71 Option Valuation with Binomial Lattices corrected version Prepared by Lara Greden, Teaching Assistant ESD.71 Note: corrections highlighted in bold in the text. To value options using the binomial lattice

More information

Homework Assignments

Homework Assignments Homework Assignments Week 1 (p 57) #4.1, 4., 4.3 Week (pp 58-6) #4.5, 4.6, 4.8(a), 4.13, 4.0, 4.6(b), 4.8, 4.31, 4.34 Week 3 (pp 15-19) #1.9, 1.1, 1.13, 1.15, 1.18 (pp 9-31) #.,.6,.9 Week 4 (pp 36-37)

More information

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences UNIVERSITY OF OSLO Faculty of Mathematics and Natural Sciences Examination in MAT2700 Introduction to mathematical finance and investment theory. Day of examination: November, 2015. Examination hours:??.????.??

More information

The Binomial Lattice Model for Stocks: Introduction to Option Pricing

The Binomial Lattice Model for Stocks: Introduction to Option Pricing 1/33 The Binomial Lattice Model for Stocks: Introduction to Option Pricing Professor Karl Sigman Columbia University Dept. IEOR New York City USA 2/33 Outline The Binomial Lattice Model (BLM) as a Model

More information

FINANCIAL OPTION ANALYSIS HANDOUTS

FINANCIAL OPTION ANALYSIS HANDOUTS FINANCIAL OPTION ANALYSIS HANDOUTS 1 2 FAIR PRICING There is a market for an object called S. The prevailing price today is S 0 = 100. At this price the object S can be bought or sold by anyone for any

More information

Binomial model: numerical algorithm

Binomial model: numerical algorithm Binomial model: numerical algorithm S / 0 C \ 0 S0 u / C \ 1,1 S0 d / S u 0 /, S u 3 0 / 3,3 C \ S0 u d /,1 S u 5 0 4 0 / C 5 5,5 max X S0 u,0 S u C \ 4 4,4 C \ 3 S u d / 0 3, C \ S u d 0 S u d 0 / C 4

More information

The Binomial Lattice Model for Stocks: Introduction to Option Pricing

The Binomial Lattice Model for Stocks: Introduction to Option Pricing 1/27 The Binomial Lattice Model for Stocks: Introduction to Option Pricing Professor Karl Sigman Columbia University Dept. IEOR New York City USA 2/27 Outline The Binomial Lattice Model (BLM) as a Model

More information

B6302 B7302 Sample Placement Exam Answer Sheet (answers are indicated in bold)

B6302 B7302 Sample Placement Exam Answer Sheet (answers are indicated in bold) B6302 B7302 Sample Placement Exam Answer Sheet (answers are indicated in bold) Part 1: Multiple Choice Question 1 Consider the following information on three mutual funds (all information is in annualized

More information

The Multistep Binomial Model

The Multistep Binomial Model Lecture 10 The Multistep Binomial Model Reminder: Mid Term Test Friday 9th March - 12pm Examples Sheet 1 4 (not qu 3 or qu 5 on sheet 4) Lectures 1-9 10.1 A Discrete Model for Stock Price Reminder: The

More information

Lattice Model of System Evolution. Outline

Lattice Model of System Evolution. Outline Lattice Model of System Evolution Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Lattice Model Slide 1 of 32

More information

Lattice Model of System Evolution. Outline

Lattice Model of System Evolution. Outline Lattice Model of System Evolution Richard de Neufville Professor of Engineering Systems and of Civil and Environmental Engineering MIT Massachusetts Institute of Technology Lattice Model Slide 1 of 48

More information

Chapter 14 Exotic Options: I

Chapter 14 Exotic Options: I Chapter 14 Exotic Options: I Question 14.1. The geometric averages for stocks will always be lower. Question 14.2. The arithmetic average is 5 (three 5 s, one 4, and one 6) and the geometric average is

More information

B6302 Sample Placement Exam Academic Year

B6302 Sample Placement Exam Academic Year Revised June 011 B630 Sample Placement Exam Academic Year 011-01 Part 1: Multiple Choice Question 1 Consider the following information on three mutual funds (all information is in annualized units). Fund

More information

Fixed Income and Risk Management

Fixed Income and Risk Management Fixed Income and Risk Management Fall 2003, Term 2 Michael W. Brandt, 2003 All rights reserved without exception Agenda and key issues Pricing with binomial trees Replication Risk-neutral pricing Interest

More information

u (x) < 0. and if you believe in diminishing return of the wealth, then you would require

u (x) < 0. and if you believe in diminishing return of the wealth, then you would require Chapter 8 Markowitz Portfolio Theory 8.7 Investor Utility Functions People are always asked the question: would more money make you happier? The answer is usually yes. The next question is how much more

More information

Financial Mathematics III Theory summary

Financial Mathematics III Theory summary Financial Mathematics III Theory summary Table of Contents Lecture 1... 7 1. State the objective of modern portfolio theory... 7 2. Define the return of an asset... 7 3. How is expected return defined?...

More information

General Notation. Return and Risk: The Capital Asset Pricing Model

General Notation. Return and Risk: The Capital Asset Pricing Model Return and Risk: The Capital Asset Pricing Model (Text reference: Chapter 10) Topics general notation single security statistics covariance and correlation return and risk for a portfolio diversification

More information

Chapter 8: CAPM. 1. Single Index Model. 2. Adding a Riskless Asset. 3. The Capital Market Line 4. CAPM. 5. The One-Fund Theorem

Chapter 8: CAPM. 1. Single Index Model. 2. Adding a Riskless Asset. 3. The Capital Market Line 4. CAPM. 5. The One-Fund Theorem Chapter 8: CAPM 1. Single Index Model 2. Adding a Riskless Asset 3. The Capital Market Line 4. CAPM 5. The One-Fund Theorem 6. The Characteristic Line 7. The Pricing Model Single Index Model 1 1. Covariance

More information

University of California, Los Angeles Department of Statistics. Final exam 07 June 2013

University of California, Los Angeles Department of Statistics. Final exam 07 June 2013 University of California, Los Angeles Department of Statistics Statistics C183/C283 Instructor: Nicolas Christou Final exam 07 June 2013 Name: Problem 1 (20 points) a. Suppose the variable X follows the

More information

Corporate Finance, Module 21: Option Valuation. Practice Problems. (The attached PDF file has better formatting.) Updated: July 7, 2005

Corporate Finance, Module 21: Option Valuation. Practice Problems. (The attached PDF file has better formatting.) Updated: July 7, 2005 Corporate Finance, Module 21: Option Valuation Practice Problems (The attached PDF file has better formatting.) Updated: July 7, 2005 {This posting has more information than is needed for the corporate

More information

non linear Payoffs Markus K. Brunnermeier

non linear Payoffs Markus K. Brunnermeier Institutional Finance Lecture 10: Dynamic Arbitrage to Replicate non linear Payoffs Markus K. Brunnermeier Preceptor: Dong Beom Choi Princeton University 1 BINOMIAL OPTION PRICING Consider a European call

More information

Outline One-step model Risk-neutral valuation Two-step model Delta u&d Girsanov s Theorem. Binomial Trees. Haipeng Xing

Outline One-step model Risk-neutral valuation Two-step model Delta u&d Girsanov s Theorem. Binomial Trees. Haipeng Xing Haipeng Xing Department of Applied Mathematics and Statistics Outline 1 An one-step Bionomial model and a no-arbitrage argument 2 Risk-neutral valuation 3 Two-step Binomial trees 4 Delta 5 Matching volatility

More information

Review of Derivatives I. Matti Suominen, Aalto

Review of Derivatives I. Matti Suominen, Aalto Review of Derivatives I Matti Suominen, Aalto 25 SOME STATISTICS: World Financial Markets (trillion USD) 2 15 1 5 Securitized loans Corporate bonds Financial institutions' bonds Public debt Equity market

More information

FIN 6160 Investment Theory. Lecture 7-10

FIN 6160 Investment Theory. Lecture 7-10 FIN 6160 Investment Theory Lecture 7-10 Optimal Asset Allocation Minimum Variance Portfolio is the portfolio with lowest possible variance. To find the optimal asset allocation for the efficient frontier

More information

MS-E2114 Investment Science Lecture 10: Options pricing in binomial lattices

MS-E2114 Investment Science Lecture 10: Options pricing in binomial lattices MS-E2114 Investment Science Lecture 10: Options pricing in binomial lattices A. Salo, T. Seeve Systems Analysis Laboratory Department of System Analysis and Mathematics Aalto University, School of Science

More information

Techniques for Calculating the Efficient Frontier

Techniques for Calculating the Efficient Frontier Techniques for Calculating the Efficient Frontier Weerachart Kilenthong RIPED, UTCC c Kilenthong 2017 Tee (Riped) Introduction 1 / 43 Two Fund Theorem The Two-Fund Theorem states that we can reach any

More information

Financial Economics 4: Portfolio Theory

Financial Economics 4: Portfolio Theory Financial Economics 4: Portfolio Theory Stefano Lovo HEC, Paris What is a portfolio? Definition A portfolio is an amount of money invested in a number of financial assets. Example Portfolio A is worth

More information

Investment Guarantees Chapter 7. Investment Guarantees Chapter 7: Option Pricing Theory. Key Exam Topics in This Lesson.

Investment Guarantees Chapter 7. Investment Guarantees Chapter 7: Option Pricing Theory. Key Exam Topics in This Lesson. Investment Guarantees Chapter 7 Investment Guarantees Chapter 7: Option Pricing Theory Mary Hardy (2003) Video By: J. Eddie Smith, IV, FSA, MAAA Investment Guarantees Chapter 7 1 / 15 Key Exam Topics in

More information

Econ 422 Eric Zivot Summer 2004 Final Exam Solutions

Econ 422 Eric Zivot Summer 2004 Final Exam Solutions Econ 422 Eric Zivot Summer 2004 Final Exam Solutions This is a closed book exam. However, you are allowed one page of notes (double-sided). Answer all questions. For the numerical problems, if you make

More information

Multi-Period Binomial Option Pricing - Outline

Multi-Period Binomial Option Pricing - Outline Multi-Period Binomial Option - Outline 1 Multi-Period Binomial Basics Multi-Period Binomial Option European Options American Options 1 / 12 Multi-Period Binomials To allow for more possible stock prices,

More information

Outline One-step model Risk-neutral valuation Two-step model Delta u&d Girsanov s Theorem. Binomial Trees. Haipeng Xing

Outline One-step model Risk-neutral valuation Two-step model Delta u&d Girsanov s Theorem. Binomial Trees. Haipeng Xing Haipeng Xing Department of Applied Mathematics and Statistics Outline 1 An one-step Bionomial model and a no-arbitrage argument 2 Risk-neutral valuation 3 Two-step Binomial trees 4 Delta 5 Matching volatility

More information

OPTION VALUATION Fall 2000

OPTION VALUATION Fall 2000 OPTION VALUATION Fall 2000 2 Essentially there are two models for pricing options a. Black Scholes Model b. Binomial option Pricing Model For equities, usual model is Black Scholes. For most bond options

More information

Basics of Derivative Pricing

Basics of Derivative Pricing Basics o Derivative Pricing 1/ 25 Introduction Derivative securities have cash ows that derive rom another underlying variable, such as an asset price, interest rate, or exchange rate. The absence o arbitrage

More information

MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory

MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory MS-E2114 Investment Science Lecture 5: Mean-variance portfolio theory A. Salo, T. Seeve Systems Analysis Laboratory Department of System Analysis and Mathematics Aalto University, School of Science Overview

More information

Econ 422 Eric Zivot Fall 2005 Final Exam

Econ 422 Eric Zivot Fall 2005 Final Exam Econ 422 Eric Zivot Fall 2005 Final Exam This is a closed book exam. However, you are allowed one page of notes (double-sided). Answer all questions. For the numerical problems, if you make a computational

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Fall 2017 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Spring 2018 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

Introduction Random Walk One-Period Option Pricing Binomial Option Pricing Nice Math. Binomial Models. Christopher Ting.

Introduction Random Walk One-Period Option Pricing Binomial Option Pricing Nice Math. Binomial Models. Christopher Ting. Binomial Models Christopher Ting Christopher Ting http://www.mysmu.edu/faculty/christophert/ : christopherting@smu.edu.sg : 6828 0364 : LKCSB 5036 October 14, 2016 Christopher Ting QF 101 Week 9 October

More information

M339W/M389W Financial Mathematics for Actuarial Applications University of Texas at Austin In-Term Exam I Instructor: Milica Čudina

M339W/M389W Financial Mathematics for Actuarial Applications University of Texas at Austin In-Term Exam I Instructor: Milica Čudina M339W/M389W Financial Mathematics for Actuarial Applications University of Texas at Austin In-Term Exam I Instructor: Milica Čudina Notes: This is a closed book and closed notes exam. Time: 50 minutes

More information

FINANCIAL OPTION ANALYSIS HANDOUTS

FINANCIAL OPTION ANALYSIS HANDOUTS FINANCIAL OPTION ANALYSIS HANDOUTS 1 2 FAIR PRICING There is a market for an object called S. The prevailing price today is S 0 = 100. At this price the object S can be bought or sold by anyone for any

More information

Chapter 7: Portfolio Theory

Chapter 7: Portfolio Theory Chapter 7: Portfolio Theory 1. Introduction 2. Portfolio Basics 3. The Feasible Set 4. Portfolio Selection Rules 5. The Efficient Frontier 6. Indifference Curves 7. The Two-Asset Portfolio 8. Unrestriceted

More information

Mean Variance Analysis and CAPM

Mean Variance Analysis and CAPM Mean Variance Analysis and CAPM Yan Zeng Version 1.0.2, last revised on 2012-05-30. Abstract A summary of mean variance analysis in portfolio management and capital asset pricing model. 1. Mean-Variance

More information

REAL OPTIONS ANALYSIS HANDOUTS

REAL OPTIONS ANALYSIS HANDOUTS REAL OPTIONS ANALYSIS HANDOUTS 1 2 REAL OPTIONS ANALYSIS MOTIVATING EXAMPLE Conventional NPV Analysis A manufacturer is considering a new product line. The cost of plant and equipment is estimated at $700M.

More information

Name: MULTIPLE CHOICE. 1 (5) a b c d e. 2 (5) a b c d e TRUE/FALSE 1 (2) TRUE FALSE. 3 (5) a b c d e 2 (2) TRUE FALSE.

Name: MULTIPLE CHOICE. 1 (5) a b c d e. 2 (5) a b c d e TRUE/FALSE 1 (2) TRUE FALSE. 3 (5) a b c d e 2 (2) TRUE FALSE. Name: M339D=M389D Introduction to Actuarial Financial Mathematics University of Texas at Austin Sample In-Term Exam II Instructor: Milica Čudina Notes: This is a closed book and closed notes exam. The

More information

Econ Financial Markets Spring 2011 Professor Robert Shiller. Final Exam Practice Exam Suggested Solution

Econ Financial Markets Spring 2011 Professor Robert Shiller. Final Exam Practice Exam Suggested Solution Econ 252 - Financial Markets Spring 2011 Professor Robert Shiller Final Exam Practice Exam Suggested Solution Part I. 1. Lecture 22 on Public and Non-Profit Finance. With a nonprofit, there is no equity.

More information

Analytical Problem Set

Analytical Problem Set Analytical Problem Set Unless otherwise stated, any coupon payments, cash dividends, or other cash payouts delivered by a security in the following problems should be assume to be distributed at the end

More information

Principles of Finance Risk and Return. Instructor: Xiaomeng Lu

Principles of Finance Risk and Return. Instructor: Xiaomeng Lu Principles of Finance Risk and Return Instructor: Xiaomeng Lu 1 Course Outline Course Introduction Time Value of Money DCF Valuation Security Analysis: Bond, Stock Capital Budgeting (Fundamentals) Portfolio

More information

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 ortfolio Allocation Mean-Variance Approach Validity of the Mean-Variance Approach Constant absolute risk aversion (CARA): u(w ) = exp(

More information

Chapter 24 Interest Rate Models

Chapter 24 Interest Rate Models Chapter 4 Interest Rate Models Question 4.1. a F = P (0, /P (0, 1 =.8495/.959 =.91749. b Using Black s Formula, BSCall (.8495,.9009.959,.1, 0, 1, 0 = $0.0418. (1 c Using put call parity for futures options,

More information

Derivatives and Asset Pricing in a Discrete-Time Setting: Basic Concepts and Strategies

Derivatives and Asset Pricing in a Discrete-Time Setting: Basic Concepts and Strategies Chapter 1 Derivatives and Asset Pricing in a Discrete-Time Setting: Basic Concepts and Strategies This chapter is organized as follows: 1. Section 2 develops the basic strategies using calls and puts.

More information

UNIVERSITY OF TORONTO Joseph L. Rotman School of Management. RSM332 FINAL EXAMINATION Geoffrey/Wang SOLUTIONS. (1 + r m ) r m

UNIVERSITY OF TORONTO Joseph L. Rotman School of Management. RSM332 FINAL EXAMINATION Geoffrey/Wang SOLUTIONS. (1 + r m ) r m UNIVERSITY OF TORONTO Joseph L. Rotman School of Management Dec. 9, 206 Burke/Corhay/Kan RSM332 FINAL EXAMINATION Geoffrey/Wang SOLUTIONS. (a) We first figure out the effective monthly interest rate, r

More information

LECTURE 2: MULTIPERIOD MODELS AND TREES

LECTURE 2: MULTIPERIOD MODELS AND TREES LECTURE 2: MULTIPERIOD MODELS AND TREES 1. Introduction One-period models, which were the subject of Lecture 1, are of limited usefulness in the pricing and hedging of derivative securities. In real-world

More information

BUSM 411: Derivatives and Fixed Income

BUSM 411: Derivatives and Fixed Income BUSM 411: Derivatives and Fixed Income 12. Binomial Option Pricing Binomial option pricing enables us to determine the price of an option, given the characteristics of the stock other underlying asset

More information

QR43, Introduction to Investments Class Notes, Fall 2003 IV. Portfolio Choice

QR43, Introduction to Investments Class Notes, Fall 2003 IV. Portfolio Choice QR43, Introduction to Investments Class Notes, Fall 2003 IV. Portfolio Choice A. Mean-Variance Analysis 1. Thevarianceofaportfolio. Consider the choice between two risky assets with returns R 1 and R 2.

More information

LECTURE NOTES 3 ARIEL M. VIALE

LECTURE NOTES 3 ARIEL M. VIALE LECTURE NOTES 3 ARIEL M VIALE I Markowitz-Tobin Mean-Variance Portfolio Analysis Assumption Mean-Variance preferences Markowitz 95 Quadratic utility function E [ w b w ] { = E [ w] b V ar w + E [ w] }

More information

S u =$55. S u =S (1+u) S=$50. S d =$48.5. S d =S (1+d) C u = $5 = Max{55-50,0} $1.06. C u = Max{Su-X,0} (1+r) (1+r) $1.06. C d = $0 = Max{48.

S u =$55. S u =S (1+u) S=$50. S d =$48.5. S d =S (1+d) C u = $5 = Max{55-50,0} $1.06. C u = Max{Su-X,0} (1+r) (1+r) $1.06. C d = $0 = Max{48. Fi8000 Valuation of Financial Assets Spring Semester 00 Dr. Isabel katch Assistant rofessor of Finance Valuation of Options Arbitrage Restrictions on the Values of Options Quantitative ricing Models Binomial

More information

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes M375T/M396C Introduction to Financial Mathematics for Actuarial Applications Spring 2013 University of Texas at Austin Sample In-Term Exam II - Solutions This problem set is aimed at making up the lost

More information

Principles of Finance

Principles of Finance Principles of Finance Grzegorz Trojanowski Lecture 7: Arbitrage Pricing Theory Principles of Finance - Lecture 7 1 Lecture 7 material Required reading: Elton et al., Chapter 16 Supplementary reading: Luenberger,

More information

ECMC49F Midterm. Instructor: Travis NG Date: Oct 26, 2005 Duration: 1 hour 50 mins Total Marks: 100. [1] [25 marks] Decision-making under certainty

ECMC49F Midterm. Instructor: Travis NG Date: Oct 26, 2005 Duration: 1 hour 50 mins Total Marks: 100. [1] [25 marks] Decision-making under certainty ECMC49F Midterm Instructor: Travis NG Date: Oct 26, 2005 Duration: 1 hour 50 mins Total Marks: 100 [1] [25 marks] Decision-making under certainty (a) [5 marks] Graphically demonstrate the Fisher Separation

More information

Degree project. Pricing American and European options under the binomial tree model and its Black-Scholes limit model

Degree project. Pricing American and European options under the binomial tree model and its Black-Scholes limit model Degree project Pricing American and European options under the binomial tree model and its Black-Scholes limit model Author: Yuankai Yang Supervisor: Roger Pettersson Examiner: Astrid Hilbert Date: 2017-09-28

More information

Optimizing Portfolios

Optimizing Portfolios Optimizing Portfolios An Undergraduate Introduction to Financial Mathematics J. Robert Buchanan 2010 Introduction Investors may wish to adjust the allocation of financial resources including a mixture

More information

P s =(0,W 0 R) safe; P r =(W 0 σ,w 0 µ) risky; Beyond P r possible if leveraged borrowing OK Objective function Mean a (Std.Dev.

P s =(0,W 0 R) safe; P r =(W 0 σ,w 0 µ) risky; Beyond P r possible if leveraged borrowing OK Objective function Mean a (Std.Dev. ECO 305 FALL 2003 December 2 ORTFOLIO CHOICE One Riskless, One Risky Asset Safe asset: gross return rate R (1 plus interest rate) Risky asset: random gross return rate r Mean µ = E[r] >R,Varianceσ 2 =

More information

FIN3043 Investment Management. Assignment 1 solution

FIN3043 Investment Management. Assignment 1 solution FIN3043 Investment Management Assignment 1 solution Questions from Chapter 1 9. Lanni Products is a start-up computer software development firm. It currently owns computer equipment worth $30,000 and has

More information

An Intertemporal Capital Asset Pricing Model

An Intertemporal Capital Asset Pricing Model I. Assumptions Finance 400 A. Penati - G. Pennacchi Notes on An Intertemporal Capital Asset Pricing Model These notes are based on the article Robert C. Merton (1973) An Intertemporal Capital Asset Pricing

More information

MBA 203 Executive Summary

MBA 203 Executive Summary MBA 203 Executive Summary Professor Fedyk and Sraer Class 1. Present and Future Value Class 2. Putting Present Value to Work Class 3. Decision Rules Class 4. Capital Budgeting Class 6. Stock Valuation

More information

PORTFOLIO THEORY. Master in Finance INVESTMENTS. Szabolcs Sebestyén

PORTFOLIO THEORY. Master in Finance INVESTMENTS. Szabolcs Sebestyén PORTFOLIO THEORY Szabolcs Sebestyén szabolcs.sebestyen@iscte.pt Master in Finance INVESTMENTS Sebestyén (ISCTE-IUL) Portfolio Theory Investments 1 / 60 Outline 1 Modern Portfolio Theory Introduction Mean-Variance

More information

B. Combinations. 1. Synthetic Call (Put-Call Parity). 2. Writing a Covered Call. 3. Straddle, Strangle. 4. Spreads (Bull, Bear, Butterfly).

B. Combinations. 1. Synthetic Call (Put-Call Parity). 2. Writing a Covered Call. 3. Straddle, Strangle. 4. Spreads (Bull, Bear, Butterfly). 1 EG, Ch. 22; Options I. Overview. A. Definitions. 1. Option - contract in entitling holder to buy/sell a certain asset at or before a certain time at a specified price. Gives holder the right, but not

More information

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A

FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other

More information

1b. Write down the possible payoffs of each of the following instruments separately, and of the portfolio of all three:

1b. Write down the possible payoffs of each of the following instruments separately, and of the portfolio of all three: Fi8000 Quiz #3 - Example Part I Open Questions 1. The current price of stock ABC is $25. 1a. Write down the possible payoffs of a long position in a European put option on ABC stock, which expires in one

More information

The Markowitz framework

The Markowitz framework IGIDR, Bombay 4 May, 2011 Goals What is a portfolio? Asset classes that define an Indian portfolio, and their markets. Inputs to portfolio optimisation: measuring returns and risk of a portfolio Optimisation

More information

Introduction to Probability Theory and Stochastic Processes for Finance Lecture Notes

Introduction to Probability Theory and Stochastic Processes for Finance Lecture Notes Introduction to Probability Theory and Stochastic Processes for Finance Lecture Notes Fabio Trojani Department of Economics, University of St. Gallen, Switzerland Correspondence address: Fabio Trojani,

More information

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences UNIVERSITY OF OSLO Faculty of Mathematics and Natural Sciences Examination in MAT2700 Introduction to mathematical finance and investment theory. Day of examination: Monday, December 14, 2015. Examination

More information

Corporate Finance - Yossi Spiegel

Corporate Finance - Yossi Spiegel Tel Aviv University Faculty of Management Corporate Finance - Yossi Spiegel Solution to Problem set 5 Problem (a) If T is common knowledge then the value of the firm is equal to the expected cash flow

More information

Pricing Options with Binomial Trees

Pricing Options with Binomial Trees Pricing Options with Binomial Trees MATH 472 Financial Mathematics J. Robert Buchanan 2018 Objectives In this lesson we will learn: a simple discrete framework for pricing options, how to calculate risk-neutral

More information

Capital Allocation Between The Risky And The Risk- Free Asset

Capital Allocation Between The Risky And The Risk- Free Asset Capital Allocation Between The Risky And The Risk- Free Asset Chapter 7 Investment Decisions capital allocation decision = choice of proportion to be invested in risk-free versus risky assets asset allocation

More information

For each of the questions 1-6, check one of the response alternatives A, B, C, D, E with a cross in the table below:

For each of the questions 1-6, check one of the response alternatives A, B, C, D, E with a cross in the table below: November 2016 Page 1 of (6) Multiple Choice Questions (3 points per question) For each of the questions 1-6, check one of the response alternatives A, B, C, D, E with a cross in the table below: Question

More information

Lecture 16. Options and option pricing. Lecture 16 1 / 22

Lecture 16. Options and option pricing. Lecture 16 1 / 22 Lecture 16 Options and option pricing Lecture 16 1 / 22 Introduction One of the most, perhaps the most, important family of derivatives are the options. Lecture 16 2 / 22 Introduction One of the most,

More information

Archana Khetan 05/09/ MAFA (CA Final) - Portfolio Management

Archana Khetan 05/09/ MAFA (CA Final) - Portfolio Management Archana Khetan 05/09/2010 +91-9930812722 Archana090@hotmail.com MAFA (CA Final) - Portfolio Management 1 Portfolio Management Portfolio is a collection of assets. By investing in a portfolio or combination

More information

Application to Portfolio Theory and the Capital Asset Pricing Model

Application to Portfolio Theory and the Capital Asset Pricing Model Appendix C Application to Portfolio Theory and the Capital Asset Pricing Model Exercise Solutions C.1 The random variables X and Y are net returns with the following bivariate distribution. y x 0 1 2 3

More information

CHAPTER 9: THE CAPITAL ASSET PRICING MODEL

CHAPTER 9: THE CAPITAL ASSET PRICING MODEL CHAPTER 9: THE CAPITAL ASSET PRICING MODEL 1. E(r P ) = r f + β P [E(r M ) r f ] 18 = 6 + β P(14 6) β P = 12/8 = 1.5 2. If the security s correlation coefficient with the market portfolio doubles (with

More information

Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester

Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester Derivative Securities Fall 2012 Final Exam Guidance Extended version includes full semester Our exam is Wednesday, December 19, at the normal class place and time. You may bring two sheets of notes (8.5

More information

Problem set 5. Asset pricing. Markus Roth. Chair for Macroeconomics Johannes Gutenberg Universität Mainz. Juli 5, 2010

Problem set 5. Asset pricing. Markus Roth. Chair for Macroeconomics Johannes Gutenberg Universität Mainz. Juli 5, 2010 Problem set 5 Asset pricing Markus Roth Chair for Macroeconomics Johannes Gutenberg Universität Mainz Juli 5, 200 Markus Roth (Macroeconomics 2) Problem set 5 Juli 5, 200 / 40 Contents Problem 5 of problem

More information

Binomial Option Pricing

Binomial Option Pricing Binomial Option Pricing The wonderful Cox Ross Rubinstein model Nico van der Wijst 1 D. van der Wijst Finance for science and technology students 1 Introduction 2 3 4 2 D. van der Wijst Finance for science

More information

Model Calibration and Hedging

Model Calibration and Hedging Model Calibration and Hedging Concepts and Buzzwords Choosing the Model Parameters Choosing the Drift Terms to Match the Current Term Structure Hedging the Rate Risk in the Binomial Model Term structure

More information

Midterm 1, Financial Economics February 15, 2010

Midterm 1, Financial Economics February 15, 2010 Midterm 1, Financial Economics February 15, 2010 Name: Email: @illinois.edu All questions must be answered on this test form. Question 1: Let S={s1,,s11} be the set of states. Suppose that at t=0 the state

More information

Overview of Concepts and Notation

Overview of Concepts and Notation Overview of Concepts and Notation (BUSFIN 4221: Investments) - Fall 2016 1 Main Concepts This section provides a list of questions you should be able to answer. The main concepts you need to know are embedded

More information

FIN FINANCIAL INSTRUMENTS SPRING 2008

FIN FINANCIAL INSTRUMENTS SPRING 2008 FIN-40008 FINANCIAL INSTRUMENTS SPRING 2008 OPTION RISK Introduction In these notes we consider the risk of an option and relate it to the standard capital asset pricing model. If we are simply interested

More information

Help Session 2. David Sovich. Washington University in St. Louis

Help Session 2. David Sovich. Washington University in St. Louis Help Session 2 David Sovich Washington University in St. Louis TODAY S AGENDA 1. Refresh the concept of no arbitrage and how to bound option prices using just the principle of no arbitrage 2. Work on applying

More information

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING TEACHING NOTE 98-04: EXCHANGE OPTION PRICING Version date: June 3, 017 C:\CLASSES\TEACHING NOTES\TN98-04.WPD The exchange option, first developed by Margrabe (1978), has proven to be an extremely powerful

More information

Macroeconomics Sequence, Block I. Introduction to Consumption Asset Pricing

Macroeconomics Sequence, Block I. Introduction to Consumption Asset Pricing Macroeconomics Sequence, Block I Introduction to Consumption Asset Pricing Nicola Pavoni October 21, 2016 The Lucas Tree Model This is a general equilibrium model where instead of deriving properties of

More information

Lecture 2: Fundamentals of meanvariance

Lecture 2: Fundamentals of meanvariance Lecture 2: Fundamentals of meanvariance analysis Prof. Massimo Guidolin Portfolio Management Second Term 2018 Outline and objectives Mean-variance and efficient frontiers: logical meaning o Guidolin-Pedio,

More information

Real Options and Game Theory in Incomplete Markets

Real Options and Game Theory in Incomplete Markets Real Options and Game Theory in Incomplete Markets M. Grasselli Mathematics and Statistics McMaster University IMPA - June 28, 2006 Strategic Decision Making Suppose we want to assign monetary values to

More information

FINANCE 100 Corporate Finance

FINANCE 100 Corporate Finance FINNCE 100 Corporate Finance Professor Roberts Solutions to Sample Quiz # NME: SECTION: Question Maimum Student Score Question 1 50 Question 50 TOTL 100 Instructions: You may bring one 8.511 inch sheet

More information

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes

Notes: This is a closed book and closed notes exam. The maximal score on this exam is 100 points. Time: 75 minutes M375T/M396C Introduction to Financial Mathematics for Actuarial Applications Spring 2013 University of Texas at Austin Sample In-Term Exam II Post-test Instructor: Milica Čudina Notes: This is a closed

More information

Final Exam Suggested Solutions

Final Exam Suggested Solutions University of Washington Fall 003 Department of Economics Eric Zivot Economics 483 Final Exam Suggested Solutions This is a closed book and closed note exam. However, you are allowed one page of handwritten

More information

ECON FINANCIAL ECONOMICS

ECON FINANCIAL ECONOMICS ECON 337901 FINANCIAL ECONOMICS Peter Ireland Boston College Fall 2017 These lecture notes by Peter Ireland are licensed under a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 International

More information

MATH 425: BINOMIAL TREES

MATH 425: BINOMIAL TREES MATH 425: BINOMIAL TREES G. BERKOLAIKO Summary. These notes will discuss: 1-level binomial tree for a call, fair price and the hedging procedure 1-level binomial tree for a general derivative, fair price

More information