OPTION VALUATION Fall 2000

Size: px
Start display at page:

Download "OPTION VALUATION Fall 2000"

Transcription

1 OPTION VALUATION Fall 2000

2 2

3 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 there are problems that eliminate the Black Scholes model from consideration.. Recall that a bond's volatility is a function of Duration. The Volatility is generally considered to be a direct function of Duration. As time passes Duration declines. But B.S. assumes constant volatility. 2. Black Scholes assumes the evolution of stock prices is a stationary process. But bond prices must converge to par at maturity so process must change. 3. Black Scholes assumes a constant short rate. But assuming a constant risk-free rate while that long rate changes simultaneously does not make much sense. 3

4 Where are the Black Scholes assumptions not badly violated:. A short-term option on a long instrument since duration will not change very much over the life of the option 2. An option on a future. In this case the deliverable instrument is a "constant" maturity bond whose duration is fairly stable. In these two cases Black Scholes can be made to work well. For future ones use a variation in Black Scholes formula called Black Model. In other cases a binomial model is needed. 4

5 There are a lot of binomial models. There are a number of ways we can model changes in interest rates or discount functions. The basic characteristics that drive these models are:. That they be arbitrage free or "no free lunch." However, we assume interest rates or discount function evolve, we can't find a strategy that always has a higher return no matter what. 2. No memory. An up movement followed by a down movement is the same as a down movement followed by an up movement, e.g., how we get somewhere is unimportant. Reason for this assumption is computational. It results in manageable problems. 5

6 6 The Black Scholes Model Ε = 2 rtn d e N d 0 S C t t 2 /2 r /E 0 n S d σ σ + + = t t 2 /2 r /E 0 n S 2 d σ σ + = = 0 S Current price of security = E Exercise Price = r interest rate (continuously compounded) = t time to maturity in fraction of year = σ Standard deviation of returns (continuously compounded) ( )= N Cumulative Normal (Black model is same as above except 0 S is replaced by Futures price times rt e.)

7 Some Definitions C S. Hedge ratio = N δ d > 0 = 2 γ = c = S 2 s σ t n d Put is valued using Put Call Parity 7

8 BINOMIAL OPTION PRICING (SINGLE STATE MODELS) EXAMPLE: Assume R = 6% 0 R = 7% 02 Assume one period rate can evolve to /2 8.5= S u 6 /2 5.5= S d 8

9 ZEROS and their PRICES One Period Price Su S d U d 000 9

10 Two Period Price Su S d (.07)

11 NOTE. Earlier mentioned Binomial option has to have "no memory." This is why tree has three points at time Check on "no free lunch." x.06 = $ Thus, if investor buys two period bond, it can be better or worse than one period. 3. Note [/2(92.66)+/2(947.87)]/.06 (e.g., present value of bond prices at does not equal $873.44). There is a risk premium.

12 Pricing option using replication Consider option to buy one year zero next year for $930 Next year price is $92.66 or $ $7.87 Question: What is value? Can buy at time zero a two-year pure discount and a one-year pure discount. Let X = fraction of one-year pure discount X fraction of two year pure discount = 2 2

13 Construct portfolio with same payoff as option At time one a then one-year zero will be worth either $92.66 or $ and, thus, this will be the value of a time zero two period pure discount instrument X (000) + X (92.66) = 0 2 X (000) + X (947.87) = Solving X = X = The price of this portfolio is (.62839)x(943.40) + (.6880)(873.44) = $2.69 Since this is equivalent is should cost the same or have arbitrage. 3

14 NOTE. Probabilities were never used in valuing option. 2. Logically, if up movement was more likely option, would be worth less so probabilities must enter indirectly. If up movement is more likely bond would be worth less and working through analysis to obtain option value would result in a lower value. 3. Preceding was used to value call, but could be used to value any instrument whose value depended on interest rate movements. 4

15 Alternative way of pricing option (risk neutral) The basic idea of risk neutral price is as follows. We did not use characteristics of investors (accept prefer more to less) in deriving valuation. Therefore, must hold for all investors. One group that is convenient is risk neutral. The advantage of using this group is they only care about expected value. Recall tree for two-year bond

16 What probabilities will make expected value at one; give a price of $ at zero $92.6 P ( P.06 ) = $ P =.84 Now consider option 0 $

17 If risk neutral value is (.84)0 +.6(7.87) (.06) = $2.69 7

18 Assume r = 7.5% Rates

19 Prices Pu P 000 d

20 Solving for risk neutral probabilities P u = [P(97.43) + ( P)(934.58)] (.085) P d = [P(934.58) + ( P)(952.38)] (.055).84P u +.6P = d (.06) 20

21 Note: One factor model. Everything depends on evolution of six-month rates Can change frequency of up and down to month or day. 2

22 Second Example of Getting Probabilities Zero Prices Zero Price Maturity One period zero

23 Examples. Consider option to buy two-year zero in one-year a $ ? x.6 = $ x 000+ x 92.66= x 000+ x = x = x =

24 Getting risk neutral probabilities from one to two. Two period P P P (-P) = P=.73 24

25 Three year zero P u.73 (-P) P d (-P)

26 P u = P(97.43) + ( P) (.075) P d = P(925.93) + ( P)(934.58) (.055).73(P u ) +.27P 86.3= d 86.3 P =

27 2. Consider option to buy one-year zero in two years at $ $ x.08 = x x.08 =

28 3. Consider a three-year bond callable at 000 paying a coupon of 6% with call protection until time ? value =.09 28

29 Non callable P = (.07) (.075) 3 P =$ Pr ice = =

30 Caps, Floors and Collars Issued with floating rate note or floating rate mortgages cap fixes a maximum interest rate, e.g., floating rate note can't exceed 8% cap is like a call option, e.g., an 8% cap on sixmonth LIBOR can be valued as if cap pays (actual LIBOR - 8%) x (days in period) 360 floor fixes minimum rate, like a put option collar fixes both maximum and minimum rate 30

31 Example Consider three-period floating rate bond with a cap of 8.5%. The replicating portfolio is:. a floating rate note 2. issuing a call option that pays off the rate minus 8% if interest exceeds 8% pays % under this scenario

32 0 2 3 x.92 (.09) x.84 value is: = Value of floating rate bond with cap is:

33 Assume the cap was a cap of 8% Loss due to cap

34 2 x Value = x. 84 Value =

35 Need Process of Spot Changes Must be consistent with current rates Arbitrage free ur u 2 r r udr dr d 2 r one choice original Solomon Model u = e m t + σ t d = e m t σ t 35

36 Note:. Order of up and down does not matter ud = ( e m+ σ) x ( e m2 -σ ) = e m + m2 du = ( e m σ) x ( e m2+ σ) = e m + m2 They fix:. Probabilities = /2 2. σ which is volatility of short term rate Note:. Negative rates can't occur. 2. Rate changes proportional to level. 3. Does not account for term structure of volatility. 36

37 Assume following rates r = 0 oo r = 0/2 002 r = 003 P = P = P = Estimate volatility at.2 corresponds to 20% per year and up and down equally likely. 2. Imply m = /2(000) + /2(000) + ru + rd (.0) 37

38 Solving for m yields m =.087 ru =.32 rd =.0897 /2ru /2rd + Forward ru 000 u rd

39 up =.5(000).5(000) u 2 + (+ r) ( + udr) + ur down =.5(000) +.5(000) ( + udr) + d 2 r (+ dr) 73.9 =.5(up) + (.5)down (.0) 39

40 000 /2 000 m + r e 2 + 2σ up /2 /2 000 m + r e /2 000 down 000 m 2σ + r e Unknown m 2 up down 40

41 M = r uu = r = ud.68 r = dd

42 Black Derman Toy (Goldman Sachs). Fix term structure volatility, e.g., allow one-year rates to vary more than two-year rates etc. This is principle advantage of the model. Empirical evidence supports short rate varies more than long. 2. Fix probabilities Assume Prior Example r = 0 oo r 002 r 003 = 0.5 =.0 P P 2 P 3 = = =

43 Estimate. σ =.9 σ = up + down = /2 3. expectations theory u = e m + σ d = e m σ 43

44 Calculating Second Period Spots.9= n 2 u d (+ r ) (+ u r) ( + d r) 2.0 = 3.2 0% 8.97 m =.08 44

45 45 CALCULATES SPOT RATES IN PERIOD 3 2 d2 u2 ) 00 r ( ) 3 oo3 r ( = +.8 d2 u2 5n. = = + 2 ud) ( uu) ( u u2

46 = + 2 dd) ( ud) ( x d) ( d2) ( (ud)2.dd uu =

47 47

48 48

49 49

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Derivatives Options on Bonds and Interest Rates. Professor André Farber Solvay Business School Université Libre de Bruxelles

Derivatives Options on Bonds and Interest Rates. Professor André Farber Solvay Business School Université Libre de Bruxelles Derivatives Options on Bonds and Interest Rates Professor André Farber Solvay Business School Université Libre de Bruxelles Caps Floors Swaption Options on IR futures Options on Government bond futures

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

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

The Merton Model. A Structural Approach to Default Prediction. Agenda. Idea. Merton Model. The iterative approach. Example: Enron

The Merton Model. A Structural Approach to Default Prediction. Agenda. Idea. Merton Model. The iterative approach. Example: Enron The Merton Model A Structural Approach to Default Prediction Agenda Idea Merton Model The iterative approach Example: Enron A solution using equity values and equity volatility Example: Enron 2 1 Idea

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

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

Option Models for Bonds and Interest Rate Claims

Option Models for Bonds and Interest Rate Claims Option Models for Bonds and Interest Rate Claims Peter Ritchken 1 Learning Objectives We want to be able to price any fixed income derivative product using a binomial lattice. When we use the lattice to

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

Fixed-Income Options

Fixed-Income Options Fixed-Income Options Consider a two-year 99 European call on the three-year, 5% Treasury. Assume the Treasury pays annual interest. From p. 852 the three-year Treasury s price minus the $5 interest could

More information

Forwards, Futures, Options and Swaps

Forwards, Futures, Options and Swaps Forwards, Futures, Options and Swaps A derivative asset is any asset whose payoff, price or value depends on the payoff, price or value of another asset. The underlying or primitive asset may be almost

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

Term Structure Lattice Models

Term Structure Lattice Models IEOR E4706: Foundations of Financial Engineering c 2016 by Martin Haugh Term Structure Lattice Models These lecture notes introduce fixed income derivative securities and the modeling philosophy used to

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

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

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

Forwards and Futures

Forwards and Futures Options, Futures and Structured Products Jos van Bommel Aalto Period 5 2017 Class 7b Course summary Forwards and Futures Forward contracts, and forward prices, quoted OTC. Futures: a standardized forward

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

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

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

CONTENTS CHAPTER 1 INTEREST RATE MEASUREMENT 1

CONTENTS CHAPTER 1 INTEREST RATE MEASUREMENT 1 CONTENTS CHAPTER 1 INTEREST RATE MEASUREMENT 1 1.0 Introduction 1 1.1 Interest Accumulation and Effective Rates of Interest 4 1.1.1 Effective Rates of Interest 7 1.1.2 Compound Interest 8 1.1.3 Simple

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

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

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

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 Post-test Instructor: Milica Čudina Notes: This is a closed

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

DERIVATIVE SECURITIES Lecture 5: Fixed-income securities

DERIVATIVE SECURITIES Lecture 5: Fixed-income securities DERIVATIVE SECURITIES Lecture 5: Fixed-income securities Philip H. Dybvig Washington University in Saint Louis Interest rates Interest rate derivative pricing: general issues Bond and bond option pricing

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

1 Interest Based Instruments

1 Interest Based Instruments 1 Interest Based Instruments e.g., Bonds, forward rate agreements (FRA), and swaps. Note that the higher the credit risk, the higher the interest rate. Zero Rates: n year zero rate (or simply n-year zero)

More information

TRUE/FALSE 1 (2) TRUE FALSE 2 (2) TRUE FALSE. MULTIPLE CHOICE 1 (5) a b c d e 3 (2) TRUE FALSE 4 (2) TRUE FALSE. 2 (5) a b c d e 5 (2) TRUE FALSE

TRUE/FALSE 1 (2) TRUE FALSE 2 (2) TRUE FALSE. MULTIPLE CHOICE 1 (5) a b c d e 3 (2) TRUE FALSE 4 (2) TRUE FALSE. 2 (5) a b c d e 5 (2) TRUE FALSE Tuesday, February 26th M339W/389W Financial Mathematics for Actuarial Applications Spring 2013, University of Texas at Austin In-Term Exam I Instructor: Milica Čudina Notes: This is a closed book and closed

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

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

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

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

Appendix A Financial Calculations

Appendix A Financial Calculations Derivatives Demystified: A Step-by-Step Guide to Forwards, Futures, Swaps and Options, Second Edition By Andrew M. Chisholm 010 John Wiley & Sons, Ltd. Appendix A Financial Calculations TIME VALUE OF MONEY

More information

Forward Risk Adjusted Probability Measures and Fixed-income Derivatives

Forward Risk Adjusted Probability Measures and Fixed-income Derivatives Lecture 9 Forward Risk Adjusted Probability Measures and Fixed-income Derivatives 9.1 Forward risk adjusted probability measures This section is a preparation for valuation of fixed-income derivatives.

More information

Exercise 14 Interest Rates in Binomial Grids

Exercise 14 Interest Rates in Binomial Grids Exercise 4 Interest Rates in Binomial Grids Financial Models in Excel, F65/F65D Peter Raahauge December 5, 2003 The objective with this exercise is to introduce the methodology needed to price callable

More information

The Recovery Theorem* Steve Ross

The Recovery Theorem* Steve Ross 2015 Award Ceremony and CFS Symposium: What Market Prices Tell Us 24 September 2015, Frankfurt am Main The Recovery Theorem* Steve Ross Franco Modigliani Professor of Financial Economics MIT Managing Partner

More information

Derivatives Questions Question 1 Explain carefully the difference between hedging, speculation, and arbitrage.

Derivatives Questions Question 1 Explain carefully the difference between hedging, speculation, and arbitrage. Derivatives Questions Question 1 Explain carefully the difference between hedging, speculation, and arbitrage. Question 2 What is the difference between entering into a long forward contract when the forward

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

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

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

Lecture 8: The Black-Scholes theory

Lecture 8: The Black-Scholes theory Lecture 8: The Black-Scholes theory Dr. Roman V Belavkin MSO4112 Contents 1 Geometric Brownian motion 1 2 The Black-Scholes pricing 2 3 The Black-Scholes equation 3 References 5 1 Geometric Brownian motion

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

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

Economic Risk and Decision Analysis for Oil and Gas Industry CE School of Engineering and Technology Asian Institute of Technology

Economic Risk and Decision Analysis for Oil and Gas Industry CE School of Engineering and Technology Asian Institute of Technology Economic Risk and Decision Analysis for Oil and Gas Industry CE81.98 School of Engineering and Technology Asian Institute of Technology January Semester Presented by Dr. Thitisak Boonpramote Department

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

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

Global Financial Management. Option Contracts

Global Financial Management. Option Contracts Global Financial Management Option Contracts Copyright 1997 by Alon Brav, Campbell R. Harvey, Ernst Maug and Stephen Gray. All rights reserved. No part of this lecture may be reproduced without the permission

More information

P2.T5. Tuckman Chapter 7 The Science of Term Structure Models. Bionic Turtle FRM Video Tutorials. By: David Harper CFA, FRM, CIPM

P2.T5. Tuckman Chapter 7 The Science of Term Structure Models. Bionic Turtle FRM Video Tutorials. By: David Harper CFA, FRM, CIPM P2.T5. Tuckman Chapter 7 The Science of Term Structure Models Bionic Turtle FRM Video Tutorials By: David Harper CFA, FRM, CIPM Note: This tutorial is for paid members only. You know who you are. Anybody

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 Financial Mathematics

Introduction to Financial Mathematics Introduction to Financial Mathematics MTH 210 Fall 2016 Jie Zhong November 30, 2016 Mathematics Department, UR Table of Contents Arbitrage Interest Rates, Discounting, and Basic Assets Forward Contracts

More information

FIXED INCOME SECURITIES

FIXED INCOME SECURITIES FIXED INCOME SECURITIES Valuation, Risk, and Risk Management Pietro Veronesi University of Chicago WILEY JOHN WILEY & SONS, INC. CONTENTS Preface Acknowledgments PART I BASICS xix xxxiii AN INTRODUCTION

More information

Crashcourse Interest Rate Models

Crashcourse Interest Rate Models Crashcourse Interest Rate Models Stefan Gerhold August 30, 2006 Interest Rate Models Model the evolution of the yield curve Can be used for forecasting the future yield curve or for pricing interest rate

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

Vanilla interest rate options

Vanilla interest rate options Vanilla interest rate options Marco Marchioro derivati2@marchioro.org October 26, 2011 Vanilla interest rate options 1 Summary Probability evolution at information arrival Brownian motion and option pricing

More information

Swaptions. Product nature

Swaptions. Product nature Product nature Swaptions The buyer of a swaption has the right to enter into an interest rate swap by some specified date. The swaption also specifies the maturity date of the swap. The buyer can be the

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

Options Markets: Introduction

Options Markets: Introduction 17-2 Options Options Markets: Introduction Derivatives are securities that get their value from the price of other securities. Derivatives are contingent claims because their payoffs depend on the value

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

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

Fixed Income Securities Certification. Summary of the Syllabus

Fixed Income Securities Certification. Summary of the Syllabus Fixed Income Securities Certification Summary of the Syllabus Institute of Financial Markets of Pakistan 2017 OBJECTIVE OF THE EXAMINATION The IFMP Fixed Income Securities Certification Exam covers the

More information

P-7. Table of Contents. Module 1: Introductory Derivatives

P-7. Table of Contents. Module 1: Introductory Derivatives Preface P-7 Table of Contents Module 1: Introductory Derivatives Lesson 1: Stock as an Underlying Asset 1.1.1 Financial Markets M1-1 1.1. Stocks and Stock Indexes M1-3 1.1.3 Derivative Securities M1-9

More information

Derivative Securities Fall 2007 Section 10 Notes by Robert V. Kohn, extended and improved by Steve Allen. Courant Institute of Mathematical Sciences.

Derivative Securities Fall 2007 Section 10 Notes by Robert V. Kohn, extended and improved by Steve Allen. Courant Institute of Mathematical Sciences. Derivative Securities Fall 2007 Section 10 Notes by Robert V. Kohn, extended and improved by Steve Allen. Courant Institute of Mathematical Sciences. Options on interest-based instruments: pricing of bond

More information

SOCIETY OF ACTUARIES EXAM IFM INVESTMENT AND FINANCIAL MARKETS EXAM IFM SAMPLE QUESTIONS AND SOLUTIONS DERIVATIVES

SOCIETY OF ACTUARIES EXAM IFM INVESTMENT AND FINANCIAL MARKETS EXAM IFM SAMPLE QUESTIONS AND SOLUTIONS DERIVATIVES SOCIETY OF ACTUARIES EXAM IFM INVESTMENT AND FINANCIAL MARKETS EXAM IFM SAMPLE QUESTIONS AND SOLUTIONS DERIVATIVES These questions and solutions are based on the readings from McDonald and are identical

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

Finance 4050 Intermediate Investments

Finance 4050 Intermediate Investments Finance 4050 Intermediate Investments Spring 2008 Elizabeth Tashjian Tuesday/Thursday 9:10-10:30, BuC 108 KDGB 410 office hours by appointment 585-3212 (office) elizabeth.tashjian@business.utah.edu 581-3956

More information

INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS. Jakša Cvitanić and Fernando Zapatero

INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS. Jakša Cvitanić and Fernando Zapatero INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Jakša Cvitanić and Fernando Zapatero INTRODUCTION TO THE ECONOMICS AND MATHEMATICS OF FINANCIAL MARKETS Table of Contents PREFACE...1

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

Chapter 2: BASICS OF FIXED INCOME SECURITIES

Chapter 2: BASICS OF FIXED INCOME SECURITIES Chapter 2: BASICS OF FIXED INCOME SECURITIES 2.1 DISCOUNT FACTORS 2.1.1 Discount Factors across Maturities 2.1.2 Discount Factors over Time 2.1 DISCOUNT FACTORS The discount factor between two dates, t

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

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

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

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

Rho and Delta. Paul Hollingsworth January 29, Introduction 1. 2 Zero coupon bond 1. 3 FX forward 2. 5 Rho (ρ) 4. 7 Time bucketing 6

Rho and Delta. Paul Hollingsworth January 29, Introduction 1. 2 Zero coupon bond 1. 3 FX forward 2. 5 Rho (ρ) 4. 7 Time bucketing 6 Rho and Delta Paul Hollingsworth January 29, 2012 Contents 1 Introduction 1 2 Zero coupon bond 1 3 FX forward 2 4 European Call under Black Scholes 3 5 Rho (ρ) 4 6 Relationship between Rho and Delta 5

More information

SAMPLE SOLUTIONS FOR DERIVATIVES MARKETS

SAMPLE SOLUTIONS FOR DERIVATIVES MARKETS SAMPLE SOLUTIONS FOR DERIVATIVES MARKETS Question #1 If the call is at-the-money, the put option with the same cost will have a higher strike price. A purchased collar requires that the put have a lower

More information

Department of Mathematics. Mathematics of Financial Derivatives

Department of Mathematics. Mathematics of Financial Derivatives Department of Mathematics MA408 Mathematics of Financial Derivatives Thursday 15th January, 2009 2pm 4pm Duration: 2 hours Attempt THREE questions MA408 Page 1 of 5 1. (a) Suppose 0 < E 1 < E 3 and E 2

More information

Lecture 18. More on option pricing. Lecture 18 1 / 21

Lecture 18. More on option pricing. Lecture 18 1 / 21 Lecture 18 More on option pricing Lecture 18 1 / 21 Introduction In this lecture we will see more applications of option pricing theory. Lecture 18 2 / 21 Greeks (1) The price f of a derivative depends

More information

Option Pricing Models for European Options

Option Pricing Models for European Options Chapter 2 Option Pricing Models for European Options 2.1 Continuous-time Model: Black-Scholes Model 2.1.1 Black-Scholes Assumptions We list the assumptions that we make for most of this notes. 1. The underlying

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

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

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

The Black-Scholes Equation

The Black-Scholes Equation The Black-Scholes Equation MATH 472 Financial Mathematics J. Robert Buchanan 2018 Objectives In this lesson we will: derive the Black-Scholes partial differential equation using Itô s Lemma and no-arbitrage

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

(1) Consider a European call option and a European put option on a nondividend-paying stock. You are given:

(1) Consider a European call option and a European put option on a nondividend-paying stock. You are given: (1) Consider a European call option and a European put option on a nondividend-paying stock. You are given: (i) The current price of the stock is $60. (ii) The call option currently sells for $0.15 more

More information

Credit Risk in Banking

Credit Risk in Banking Credit Risk in Banking CREDIT RISK MODELS Sebastiano Vitali, 2017/2018 Merton model It consider the financial structure of a company, therefore it belongs to the structural approach models Notation: E

More information