Multi-Period Binomial Option Pricing - Outline

Size: px
Start display at page:

Download "Multi-Period Binomial Option Pricing - Outline"

Transcription

1 Multi-Period Binomial Option - Outline 1 Multi-Period Binomial Basics Multi-Period Binomial Option European Options American Options 1 / 12

2 Multi-Period Binomials To allow for more possible stock prices, we can combine individual binomial steps to create multi-period trees S C 0 us C u ds C d u 2 S C uu uds dus C ud C du d 2 S C dd Note that when u and d are constant, the tree will recombine. I.e., uds dus Multi-Period Binomial Basics 2 / 12

3 Binomial Models in the Limit Let T be the option s expiration and n be the number of binomial steps between time 0 and time T. (Note that h T {n.) Then as n Ñ 8: 1 Forward, lognormal and CRR trees will all result in the same option price 2 S T will be distributed lognormal Multi-Period Binomial Basics 3 / 12

4 Solving Multi-Period Binomials To solve multi-stage binomial option problems: 1 Start by computing the option payoffs at expiration at the far right of the tree 2 Work backwards through the tree (i.e., right to left) solving each individual binomial step in the tree for the binomial option price Note that in recombining trees, p will remain constant throughout the tree; whereas, and B will not Thus, the risk-neutral pricing method is generally preferred for multi-period problems Multi-Period Binomial Option 4 / 12

5 Multi-Period Binomial Example Example Given S 0 50, δ 0.1, σ 0.2, h 6 months, and r 2%, use a forward tree to price an at-the-money European call option expiring in 1 year. 1 Solve for u and d u e pr δqh σ?h , d e p q ? Complete stock tree us S 50 ds u 2 S uds d 2 S Multi-Period Binomial Option 5 / 12

6 Multi-Period Binomial Example Example (continued) 3 Calculate the call payoffs at expiration 50 C C u C d C uu maxp0, q C ud maxp0, q C dd maxp0, q 0 4 Calculate p p epr δqh d u d ep.02.1qp.5q Multi-Period Binomial Option 6 / 12

7 Multi-Period Binomial Example Example (continued) 5 Solve for C u and C d C u e rh rp C uu p1 p qc ud s e.02p.5q rp0.4647qp11.244q p1.4647qp0qs C d e rh rp C ud e.02p.5q r0 0s 0 p1 p qc dd s 6 Solve for C 0 C 0 e rh rp C u p1 p qc d s e.02p.5q rp0.4647qp5.1731q p1.4647qp0qs 2.38 Multi-Period Binomial Option 7 / 12

8 Binomial Tree Probabilities If you label the end nodes from i 0 to n, the number of paths n to reach the ith node in an n-period binomial tree is i E.g., consider a tree with n 4 periods i 0 i 1 i 2 i 3 i 4 1 path 4 paths 6 paths 4 paths 1 path Let p be the risk-neutral probability of an up move, then the risk-neutral probability of reaching node i is: pp q n i n p1 p q i i European Options 8 / 12

9 Multi-period Binomial of European Options Since early exercise is not possible, we can price a European option by discounting the expected risk-neutral payoff at time T back to time 0 in a single step: ņ C e rt pp q n i n p1 p q i max 0, u n i d i S 0 K i i0 Applying to the previous example: C e pp.02p1q q 2 p1qp11.244q p p1 p qp2qp0q p1 p q 2 p1qp0q 2.38 European Options 9 / 12

10 Multi-Period Binomial of American Options The above procedure will not work for American options (except an American call on a non-dividend paying stock) To price American binomial options: 1 At every intermediate node, starting at the right, decide whether early exercise is optimal I.e., check if payoff from immediate exercise calculated value at that node for corresponding European option 2 If early exercise is optimal, then the payoff from early exercise becomes the new value at that node 3 Continue working backwards through the tree using this procedure American Options 10 / 12

11 American Options Example Example What would be the price of the call in the previous example if it was an American option? 50 C ˆ Value at node u for European call is ˆ Value at node u from immediate exercise is: Ñ exercise early ˆ Call is out of the money at node d, so early exercise not optimal American Options 11 / 12

12 American Options Example Example (continued) ˆ Replace the value of C u with the payoff from early exercise ˆ Solve for C 0 : 50 C C 0 e.02p.5q r.4647p5.3371q 0s ˆ Option is not in the money at node 0, so early exercise is not optimal. The price of our American call is $ American Options 12 / 12

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

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

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

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

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

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

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

Risk-neutral Binomial Option Valuation

Risk-neutral Binomial Option Valuation Risk-neutral Binomial Option Valuation Main idea is that the option price now equals the expected value of the option price in the future, discounted back to the present at the risk free rate. Assumes

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

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

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

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

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

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

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 M339D/M389D Introduction to Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam II - Solutions Instructor: Milica Čudina Notes: This is a closed book and

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

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

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

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

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

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

Chapter 9 - Mechanics of Options Markets

Chapter 9 - Mechanics of Options Markets Chapter 9 - Mechanics of Options Markets Types of options Option positions and profit/loss diagrams Underlying assets Specifications Trading options Margins Taxation Warrants, employee stock options, and

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

Option pricing models

Option pricing models Option pricing models Objective Learn to estimate the market value of option contracts. Outline The Binomial Model The Black-Scholes pricing model The Binomial Model A very simple to use and understand

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

Econ 174 Financial Insurance Fall 2000 Allan Timmermann. Final Exam. Please answer all four questions. Each question carries 25% of the total grade.

Econ 174 Financial Insurance Fall 2000 Allan Timmermann. Final Exam. Please answer all four questions. Each question carries 25% of the total grade. Econ 174 Financial Insurance Fall 2000 Allan Timmermann UCSD Final Exam Please answer all four questions. Each question carries 25% of the total grade. 1. Explain the reasons why you agree or disagree

More information

******************************* The multi-period binomial model generalizes the single-period binomial model we considered in Section 2.

******************************* The multi-period binomial model generalizes the single-period binomial model we considered in Section 2. Derivative Securities Multiperiod Binomial Trees. We turn to the valuation of derivative securities in a time-dependent setting. We focus for now on multi-period binomial models, i.e. binomial trees. This

More information

Final Exam. Please answer all four questions. Each question carries 25% of the total grade.

Final Exam. Please answer all four questions. Each question carries 25% of the total grade. Econ 174 Financial Insurance Fall 2000 Allan Timmermann UCSD Final Exam Please answer all four questions. Each question carries 25% of the total grade. 1. Explain the reasons why you agree or disagree

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

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

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

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

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

Computational Finance. Computational Finance p. 1

Computational Finance. Computational Finance p. 1 Computational Finance Computational Finance p. 1 Outline Binomial model: option pricing and optimal investment Monte Carlo techniques for pricing of options pricing of non-standard options improving accuracy

More information

Martingale Pricing Theory in Discrete-Time and Discrete-Space Models

Martingale Pricing Theory in Discrete-Time and Discrete-Space Models IEOR E4707: Foundations of Financial Engineering c 206 by Martin Haugh Martingale Pricing Theory in Discrete-Time and Discrete-Space Models These notes develop the theory of martingale pricing in a discrete-time,

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

1 Parameterization of Binomial Models and Derivation of the Black-Scholes PDE.

1 Parameterization of Binomial Models and Derivation of the Black-Scholes PDE. 1 Parameterization of Binomial Models and Derivation of the Black-Scholes PDE. Previously we treated binomial models as a pure theoretical toy model for our complete economy. We turn to the issue of how

More information

Introduction to Binomial Trees. Chapter 12

Introduction to Binomial Trees. Chapter 12 Introduction to Binomial Trees Chapter 12 1 A Simple Binomial Model l A stock price is currently $20 l In three months it will be either $22 or $18 Stock Price = $22 Stock price = $20 Stock Price = $18

More information

M339W/389W Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam I Instructor: Milica Čudina

M339W/389W Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam I Instructor: Milica Čudina Notes: This is a closed book and closed notes exam. Time: 50 minutes M339W/389W Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam I Instructor: Milica Čudina

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

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

Advanced Corporate Finance. 5. Options (a refresher)

Advanced Corporate Finance. 5. Options (a refresher) Advanced Corporate Finance 5. Options (a refresher) Objectives of the session 1. Define options (calls and puts) 2. Analyze terminal payoff 3. Define basic strategies 4. Binomial option pricing model 5.

More information

MS-E2114 Investment Science Exercise 10/2016, Solutions

MS-E2114 Investment Science Exercise 10/2016, Solutions A simple and versatile model of asset dynamics is the binomial lattice. In this model, the asset price is multiplied by either factor u (up) or d (down) in each period, according to probabilities p and

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

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

Fixed Income Financial Engineering

Fixed Income Financial Engineering Fixed Income Financial Engineering Concepts and Buzzwords From short rates to bond prices The simple Black, Derman, Toy model Calibration to current the term structure Nonnegativity Proportional volatility

More information

Hull, Options, Futures, and Other Derivatives, 9 th Edition

Hull, Options, Futures, and Other Derivatives, 9 th Edition P1.T4. Valuation & Risk Models Hull, Options, Futures, and Other Derivatives, 9 th Edition Bionic Turtle FRM Study Notes By David Harper, CFA FRM CIPM and Deepa Sounder www.bionicturtle.com Hull, Chapter

More information

Option Pricing Models. c 2013 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 205

Option Pricing Models. c 2013 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 205 Option Pricing Models c 2013 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 205 If the world of sense does not fit mathematics, so much the worse for the world of sense. Bertrand Russell (1872 1970)

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

IAPM June 2012 Second Semester Solutions

IAPM June 2012 Second Semester Solutions 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.

More information

From Discrete Time to Continuous Time Modeling

From Discrete Time to Continuous Time Modeling From Discrete Time to Continuous Time Modeling Prof. S. Jaimungal, Department of Statistics, University of Toronto 2004 Arrow-Debreu Securities 2004 Prof. S. Jaimungal 2 Consider a simple one-period economy

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

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

1. 2 marks each True/False: briefly explain (no formal proofs/derivations are required for full mark).

1. 2 marks each True/False: briefly explain (no formal proofs/derivations are required for full mark). The University of Toronto ACT460/STA2502 Stochastic Methods for Actuarial Science Fall 2016 Midterm Test You must show your steps or no marks will be awarded 1 Name Student # 1. 2 marks each True/False:

More information

CHAPTER 10 OPTION PRICING - II. Derivatives and Risk Management By Rajiv Srivastava. Copyright Oxford University Press

CHAPTER 10 OPTION PRICING - II. Derivatives and Risk Management By Rajiv Srivastava. Copyright Oxford University Press CHAPTER 10 OPTION PRICING - II Options Pricing II Intrinsic Value and Time Value Boundary Conditions for Option Pricing Arbitrage Based Relationship for Option Pricing Put Call Parity 2 Binomial Option

More information

Introduction to Binomial Trees. Chapter 12

Introduction to Binomial Trees. Chapter 12 Introduction to Binomial Trees Chapter 12 Fundamentals of Futures and Options Markets, 8th Ed, Ch 12, Copyright John C. Hull 2013 1 A Simple Binomial Model A stock price is currently $20. In three months

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

Motivating example: MCI

Motivating example: MCI Real Options - intro Real options concerns using option pricing like thinking in situations where one looks at investments in real assets. This is really a matter of creative thinking, playing the game

More information

MULTIPLE CHOICE QUESTIONS

MULTIPLE CHOICE QUESTIONS Name: M375T=M396D Introduction to Actuarial Financial Mathematics Spring 2013 University of Texas at Austin Sample In-Term Exam Two: Pretest Instructor: Milica Čudina Notes: This is a closed book and closed

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

Course MFE/3F Practice Exam 2 Solutions

Course MFE/3F Practice Exam 2 Solutions Course MFE/3F Practice Exam Solutions The chapter references below refer to the chapters of the ActuarialBrew.com Study Manual. Solution 1 A Chapter 16, Black-Scholes Equation The expressions for the value

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

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

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

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

A NOVEL BINOMIAL TREE APPROACH TO CALCULATE COLLATERAL AMOUNT FOR AN OPTION WITH CREDIT RISK

A NOVEL BINOMIAL TREE APPROACH TO CALCULATE COLLATERAL AMOUNT FOR AN OPTION WITH CREDIT RISK A NOVEL BINOMIAL TREE APPROACH TO CALCULATE COLLATERAL AMOUNT FOR AN OPTION WITH CREDIT RISK SASTRY KR JAMMALAMADAKA 1. KVNM RAMESH 2, JVR MURTHY 2 Department of Electronics and Computer Engineering, Computer

More information

Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences.

Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. Derivative Securities Section 9 Fall 2004 Notes by Robert V. Kohn, Courant Institute of Mathematical Sciences. Futures, and options on futures. Martingales and their role in option pricing. A brief introduction

More information

Appendix: Basics of Options and Option Pricing Option Payoffs

Appendix: Basics of Options and Option Pricing Option Payoffs Appendix: Basics of Options and Option Pricing An option provides the holder with the right to buy or sell a specified quantity of an underlying asset at a fixed price (called a strike price or an exercise

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

Advanced Numerical Methods

Advanced Numerical Methods Advanced Numerical Methods Solution to Homework One Course instructor: Prof. Y.K. Kwok. When the asset pays continuous dividend yield at the rate q the expected rate of return of the asset is r q under

More information

ECON4510 Finance Theory Lecture 10

ECON4510 Finance Theory Lecture 10 ECON4510 Finance Theory Lecture 10 Diderik Lund Department of Economics University of Oslo 11 April 2016 Diderik Lund, Dept. of Economics, UiO ECON4510 Lecture 10 11 April 2016 1 / 24 Valuation of options

More information

Edgeworth Binomial Trees

Edgeworth Binomial Trees Mark Rubinstein Paul Stephens Professor of Applied Investment Analysis University of California, Berkeley a version published in the Journal of Derivatives (Spring 1998) Abstract This paper develops a

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

FIN 451 Exam Answers, November 8, 2007

FIN 451 Exam Answers, November 8, 2007 FIN 45 Exam Answers, November 8, 007 Phil Dybvig This is a closed-book examination. Answer all questions as directed. Mark your answers directly on the examination. On the valuation question, make sure

More information

Valuation of Options: Theory

Valuation of Options: Theory Valuation of Options: Theory Valuation of Options:Theory Slide 1 of 49 Outline Payoffs from options Influences on value of options Value and volatility of asset ; time available Basic issues in valuation:

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

(atm) Option (time) value by discounted risk-neutral expected value

(atm) Option (time) value by discounted risk-neutral expected value (atm) Option (time) value by discounted risk-neutral expected value Model-based option Optional - risk-adjusted inputs P-risk neutral S-future C-Call value value S*Q-true underlying (not Current Spot (S0)

More information

2 The binomial pricing model

2 The binomial pricing model 2 The binomial pricing model 2. Options and other derivatives A derivative security is a financial contract whose value depends on some underlying asset like stock, commodity (gold, oil) or currency. The

More information

Fixed-Income Analysis. Assignment 7

Fixed-Income Analysis. Assignment 7 FIN 684 Professor Robert B.H. Hauswald Fixed-Income Analysis Kogod School of Business, AU Assignment 7 Please be reminded that you are expected to use contemporary computer software to solve the following

More information

Cash Flows on Options strike or exercise price

Cash Flows on Options strike or exercise price 1 APPENDIX 4 OPTION PRICING In general, the value of any asset is the present value of the expected cash flows on that asset. In this section, we will consider an exception to that rule when we will look

More information

Equilibrium Term Structure Models. c 2008 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 854

Equilibrium Term Structure Models. c 2008 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 854 Equilibrium Term Structure Models c 2008 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 854 8. What s your problem? Any moron can understand bond pricing models. Top Ten Lies Finance Professors Tell

More information

Page 1. Real Options for Engineering Systems. Financial Options. Leverage. Session 4: Valuation of financial options

Page 1. Real Options for Engineering Systems. Financial Options. Leverage. Session 4: Valuation of financial options Real Options for Engineering Systems Session 4: Valuation of financial options Stefan Scholtes Judge Institute of Management, CU Slide 1 Financial Options Option: Right (but not obligation) to buy ( call

More information

Consequences of Put-Call Parity

Consequences of Put-Call Parity Consequences of Put-Call Parity There is only one kind of European option. The other can be replicated from it in combination with stock and riskless lending or borrowing. Combinations such as this create

More information

SYSM 6304: Risk and Decision Analysis Lecture 6: Pricing and Hedging Financial Derivatives

SYSM 6304: Risk and Decision Analysis Lecture 6: Pricing and Hedging Financial Derivatives SYSM 6304: Risk and Decision Analysis Lecture 6: Pricing and Hedging Financial Derivatives M. Vidyasagar Cecil & Ida Green Chair The University of Texas at Dallas Email: M.Vidyasagar@utdallas.edu October

More information

ONE NUMERICAL PROCEDURE FOR TWO RISK FACTORS MODELING

ONE NUMERICAL PROCEDURE FOR TWO RISK FACTORS MODELING ONE NUMERICAL PROCEDURE FOR TWO RISK FACTORS MODELING Rosa Cocozza and Antonio De Simone, University of Napoli Federico II, Italy Email: rosa.cocozza@unina.it, a.desimone@unina.it, www.docenti.unina.it/rosa.cocozza

More information

************************

************************ Derivative Securities Options on interest-based instruments: pricing of bond options, caps, floors, and swaptions. The most widely-used approach to pricing options on caps, floors, swaptions, and similar

More information

6. Numerical methods for option pricing

6. Numerical methods for option pricing 6. Numerical methods for option pricing Binomial model revisited Under the risk neutral measure, ln S t+ t ( ) S t becomes normally distributed with mean r σ2 t and variance σ 2 t, where r is 2 the riskless

More information

ACT4000, MIDTERM #1 ADVANCED ACTUARIAL TOPICS FEBRUARY 9, 2009 HAL W. PEDERSEN

ACT4000, MIDTERM #1 ADVANCED ACTUARIAL TOPICS FEBRUARY 9, 2009 HAL W. PEDERSEN ACT4000, MIDTERM #1 ADVANCED ACTUARIAL TOPICS FEBRUARY 9, 2009 HAL W. PEDERSEN You have 70 minutes to complete this exam. When the invigilator instructs you to stop writing you must do so immediately.

More information

In Chapter 14, we examined how the binomial interest rate model can be used to

In Chapter 14, we examined how the binomial interest rate model can be used to Bond Evaluation, Selection, and Management, Second Edition by R. Stafford Johnson Copyright 2010 R. Stafford Johnson PPENDIX H Pricing Interest Rate Options with a Binomial Interest Rate Tree In Chapter

More information

Financial Markets & Risk

Financial Markets & Risk Financial Markets & Risk Dr Cesario MATEUS Senior Lecturer in Finance and Banking Room QA259 Department of Accounting and Finance c.mateus@greenwich.ac.uk www.cesariomateus.com Session 3 Derivatives Binomial

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

MATH 361: Financial Mathematics for Actuaries I

MATH 361: Financial Mathematics for Actuaries I MATH 361: Financial Mathematics for Actuaries I Albert Cohen Actuarial Sciences Program Department of Mathematics Department of Statistics and Probability C336 Wells Hall Michigan State University East

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

10. Discrete-time models

10. Discrete-time models Pricing Options with Mathematical Models 10. Discrete-time models Some of the content of these slides is based on material from the book Introduction to the Economics and Mathematics of Financial Markets

More information

The Binomial Model. Chapter 3

The Binomial Model. Chapter 3 Chapter 3 The Binomial Model In Chapter 1 the linear derivatives were considered. They were priced with static replication and payo tables. For the non-linear derivatives in Chapter 2 this will not work

More information

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology FE610 Stochastic Calculus for Financial Engineers Lecture 13. The Black-Scholes PDE Steve Yang Stevens Institute of Technology 04/25/2013 Outline 1 The Black-Scholes PDE 2 PDEs in Asset Pricing 3 Exotic

More information

Stochastic Calculus for Finance

Stochastic Calculus for Finance Stochastic Calculus for Finance Albert Cohen Actuarial Sciences Program Department of Mathematics Department of Statistics and Probability A336 Wells Hall Michigan State University East Lansing MI 48823

More information

SOA Exam MFE Solutions: May 2007

SOA Exam MFE Solutions: May 2007 Exam MFE May 007 SOA Exam MFE Solutions: May 007 Solution 1 B Chapter 1, Put-Call Parity Let each dividend amount be D. The first dividend occurs at the end of months, and the second dividend occurs at

More information

Pricing Convertible Bonds under the First-Passage Credit Risk Model

Pricing Convertible Bonds under the First-Passage Credit Risk Model Pricing Convertible Bonds under the First-Passage Credit Risk Model Prof. Tian-Shyr Dai Department of Information Management and Finance National Chiao Tung University Joint work with Prof. Chuan-Ju Wang

More information

Futures and Forward Markets

Futures and Forward Markets Futures and Forward Markets (Text reference: Chapters 19, 21.4) background hedging and speculation optimal hedge ratio forward and futures prices futures prices and expected spot prices stock index futures

More information