Basics of Derivative Pricing

Similar documents
non linear Payoffs Markus K. Brunnermeier

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

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

Dynamic Hedging and PDE Valuation

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

BUSM 411: Derivatives and Fixed Income

Advanced Corporate Finance. 5. Options (a refresher)

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

The Multistep Binomial Model

Synthetic options. Synthetic options consists in trading a varying position in underlying asset (or

Equilibrium Asset Returns

B8.3 Week 2 summary 2018

The Binomial Lattice Model for Stocks: Introduction to Option Pricing

FINANCIAL OPTION ANALYSIS HANDOUTS

Binomial Option Pricing

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

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

The Binomial Lattice Model for Stocks: Introduction to Option Pricing

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

Homework Assignments

From Discrete Time to Continuous Time Modeling

Fixed Income and Risk Management

1.1 Basic Financial Derivatives: Forward Contracts and Options

2 The binomial pricing model

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

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

Théorie Financière. Financial Options

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

Financial Derivatives Section 5

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.

FINANCIAL OPTION ANALYSIS HANDOUTS

Option Pricing Models for European Options

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

Forwards, Futures, Options and Swaps

OPTION VALUATION Fall 2000

Review of Derivatives I. Matti Suominen, Aalto

Arbitrage, Martingales, and Pricing Kernels

Consumption-Savings Decisions and State Pricing

4 Option Futures and Other Derivatives. A contingent claim is a random variable that represents the time T payo from seller to buyer.

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

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING

Pricing Options with Binomial Trees

Mixing Di usion and Jump Processes

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

The Binomial Model. Chapter 3

Forwards, Swaps, Futures and Options

MS-E2114 Investment Science Exercise 10/2016, Solutions

Introduction to Binomial Trees. Chapter 12

Arbitrage-Free Pricing of XVA for Options in Discrete Time

Binomial Option Pricing and the Conditions for Early Exercise: An Example using Foreign Exchange Options

Lecture 6: Option Pricing Using a One-step Binomial Tree. Thursday, September 12, 13

Lecture 8: The Black-Scholes theory

IAPM June 2012 Second Semester Solutions

UNIVERSITY OF TORONTO Joseph L. Rotman School of Management SOLUTIONS

Multiperiod Market Equilibrium

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.

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

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

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

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

Department of Mathematics. Mathematics of Financial Derivatives

LECTURE 2: MULTIPERIOD MODELS AND TREES

B6302 Sample Placement Exam Academic Year

Options Markets: Introduction

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

Chapter 9 - Mechanics of Options Markets

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

Continuous-Time Consumption and Portfolio Choice

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

5 Probability densities

Chapter 17. Options and Corporate Finance. Key Concepts and Skills

Advanced Topics in Derivative Pricing Models. Topic 4 - Variance products and volatility derivatives

Futures and Forward Markets

Financial Derivatives Section 3

Binomial model: numerical algorithm

Notes for Lecture 5 (February 28)

6. Numerical methods for option pricing

LECTURE 06: SHARPE RATIO, BONDS, & THE EQUITY PREMIUM PUZZLE

Hedging and Insuring. Hedging Financial Risk. General Principles of Hedging, Cont. General Principles of Hedging. Econ 422 Summer 2005

Advanced Numerical Methods

1. Trinomial model. This chapter discusses the implementation of trinomial probability trees for pricing

Problem Set. Solutions to the problems appear at the end of this document.

Consequences of Put-Call Parity

Towards a Theory of Volatility Trading. by Peter Carr. Morgan Stanley. and Dilip Madan. University of Maryland

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

Duopoly models Multistage games with observed actions Subgame perfect equilibrium Extensive form of a game Two-stage prisoner s dilemma

Option Pricing. Simple Arbitrage Relations. Payoffs to Call and Put Options. Black-Scholes Model. Put-Call Parity. Implied Volatility

Fixed-Income Options

Pricing theory of financial derivatives

Real Option Valuation. Entrepreneurial Finance (15.431) - Spring Antoinette Schoar

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

Course MFE/3F Practice Exam 1 Solutions

UNIVERSITY OF OSLO. Faculty of Mathematics and Natural Sciences

Replication strategies of derivatives under proportional transaction costs - An extension to the Boyle and Vorst model.

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

PRMIA Exam 8002 PRM Certification - Exam II: Mathematical Foundations of Risk Measurement Version: 6.0 [ Total Questions: 132 ]

Chapter 24 Interest Rate Models

Class Notes on Financial Mathematics. No-Arbitrage Pricing Model

Black-Scholes Option Pricing

( ) since this is the benefit of buying the asset at the strike price rather

Transcription:

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 opportunities places restrictions on the derivative s value relative to that o its underlying asset. For orward contracts, no-arbitrage considerations alone may lead to an exact pricing ormula. For options, no-arbitrage restrictions cannot determine an exact price, but only bounds on the option s price. An exact option pricing ormula requires additional assumptions on the probability distribution o the underlying asset s returns (e.g., binomial). 2/ 25

Forward Contracts on Assets Paying Dividends Let F 0 be the date 0 orward price or exchanging one share o an underlying asset periods in the uture. This price is agreed to at date 0 but paid at date > 0 or delivery at date o the asset. Hence, the date > 0 payo to the long (short) party in this orward contract is S F 0, ( F 0 S ) where S is the date spot price o one share o the underlying asset. The parties set F 0 to make the date 0 contract s value equal 0 (no payment at date 0). Let R > 1 be the per-period risk-ree return or borrowing or lending over the period rom date 0 to date, and let D be the date 0 present value o dividends paid by the underlying asset over the period rom date 0 to date. 3/ 25

Forward Contract Cash Flows Consider a long orward contract and the trades that would exactly replicate its date payo s: Date 0 Trade Date 0 Cash ow Date Cash ow Long Forward Contract 0 S F 0 Replicating Trades 1) Buy Asset and Sell Dividends S 0 + D S 2) Borrow R F 0 F 0 Net Cash ow S 0 + D + R F 0 S F 0 In the absence o arbitrage, the cost o the replicating trades equals the zero cost o the long position: or S 0 D R F 0 = 0 (1) F 0 = (S 0 D) R (2) 4/ 25

Forward Contract Replication I the contract had been initiated at a previous date, say date 1, at the orward price F 1 = X, then the date 0 value (replacement cost) o the long party s payo, say 0, would still be the cost o replicating the two cash ows: 0 = S 0 D R X (3) The orward price in equation (2) did not require an assumption regarding the random distribution o the underlying asset price, S, because it was a static replication strategy. Replicating option payo s will entail, in general, a dynamic replication strategy requiring distributional assumptions. 5/ 25

Basic Characteristics o Option Prices The owner o a call option has the right to buy an asset in the uture at a pre-agreed price, called the exercise or strike price. Since the option owner s payo is always non-negative, this buyer must make an initial payment to the seller. A European option can be exercised only at the maturity o the option contract. Let S 0 and S be the current and maturity date prices per share o the underlying asset, X be the exercise price, and c t and p t be the date t prices o European call and put options, respectively. Then the maturity values o European call and put options are c = max [S X ; 0] (4) p = max [X S ; 0] (5) 6/ 25

Lower Bounds on European Option Values Recall that the long (short) party s payo o a orward contract is S F 0 (F 0 S ). I F 0 is like an option s strike, X, then assuming X = F 0 implies the payo o a call (put) option weakly dominates that o a long (short) orward. Because equation (3) is the current value o a long orward position contract, the European call s value must satisy c 0 S 0 D R X (6) Furthermore, combining c 0 0 with (6) implies c 0 max S 0 D R X ; 0 (7) By a similar argument, p 0 max R X + D S 0 ; 0 (8) 7/ 25

Put-Call Parity Put-call parity links options written on the same underlying, with the same maturity date, and exercise price. c 0 + R X + D = p 0 + S 0 (9) Consider orming the ollowing two portolios at date 0: 1 Portolio A = a put option having value p 0 and a share o the underlying asset having value S 0 2 Portolio B = a call option having value c 0 and a bond with initial value o R X + D Then at date, these two portolios are worth: Portolio A = max [X S ; 0] + S + DR = max [X ; S ] + DR Portolio B = max [0; S X ] + X + DR = max [X ; S ] + DR 8/ 25

American Options 9/ 25 An American option is at least as valuable as its corresponding European option because o its early exercise right. Hence i C 0 and P 0, the current values o American options, then C 0 c 0 and P 0 p 0. Some American options early exercise eature has no value. Consider a European call option on a non-dividend-paying asset, and recall that c 0 S 0 R X. An American call option on the same asset exercised early is worth C 0 = S 0 X < S 0 R X < c 0, a contradiction. For an American put option, selling the asset immediately and receiving $X now may be better than receiving $X at date (which has a present value o R X ). At exercise P 0 = X S 0 may exceed R X + D S 0 i remaining dividends are small.

Binomial Option Pricing The no-arbitrage assumption alone cannot determine an exact option price as a unction o the underlying asset. However, particular distributional assumptions or the underlying asset can allow the option s payo to be replicated by trading in the underlying asset and a risk-ree asset. Cox, Ross, and Rubinstein (1979) developed a binomial model to value a European option on a non-dividend-paying stock. The model assumes that the current stock price, S, either moves up by a proportion u, or down by a proportion d, each period. The probability o an up move is. 10/ 25

Binomial Option Pricing cont d S % & us with probability ds with probability 1 Let R be one plus the risk-ree rate or the period, where in the absence o arbitrage d < R < u. (10) Let c equal the current value o a European call option written on the stock and having a strike price o X, so that its payo at maturity equals max[0; S X ]. Thus, one period prior to maturity: 11/ 25

Binomial Option Pricing cont d c u max [0; us X ] with probability c % & c d max [0; ds X ] with probability 1 (11) To value c, consider a portolio containing shares o stock and $B o bonds so that its current value is S + B. This portolio s value evolves over the period as S + B % & us + R B with probability ds + R B with probability 1 (12) 12/ 25

Binomial Option Pricing cont d With two securities (bond and stock) and two states (up or down), and B can be chosen to replicate the option s payo s: us + R B = c u (13) ds + R B = c d (14) Solving or and B that satisy these two equations: = c u c d (u d) S (15) B = uc d dc u (16) (u d) R Hence, a portolio o shares o stock and $B o bonds produces the same cash ow as the call option. 13/ 25

Binomial Option Pricing Example Thereore, the absence o arbitrage implies c = S + B (17) where is the option s hedge ratio and B is the debt nancing that are positive/negative (negative/positive) or calls (puts). Example: I S = $50, u = 2, d = :5, R = 1:25, and X = $50, then us = $100; ds = $25; c u = $50; c d = $0. Thereore, = 50 0 (2 :5) 50 = 2 3 14/ 25

Binomial Option Pricing cont d so that B = 0 25 (2 :5) 1:25 = 40 3 c = S + B = 2 3 (50) 40 3 = 60 3 = $20 This option pricing ormula can be rewritten: c = S + B = c u c d (u d) + uc d dc u (18) (u d) R h i R d u d max [0; us X ] + u R u d max [0; ds X ] = which does not depend on the stock s up/down probability,. R 15/ 25

Binomial Option Pricing cont d Since the stock s expected rate o return equals u + d(1 ) 1, it need not be known or estimated to solve or the no-arbitrage value o the option, c. However, we do need to know u and d, the size o the stock s movements per period which determine its volatility. Note also that we can rewrite c as d c = 1 R [bc u + (1 b) c d ] (19) where b R u d is the risk-neutral probability o the up state. b = i individuals are risk-neutral since which implies that [u + d (1 )] S = R S (20) 16/ 25

Binomial Option Pricing cont d = R d = b (21) u d so that b does equal under risk neutrality. Thus, (19) can be expressed as c t = 1 E b [ct+1 ] (22) R where b E [] denotes the expectation operator evaluated using the risk-neutral probabilities b rather than the true, or physical, probabilities. 17/ 25

Multiperiod Binomial Option Pricing Next, consider the option s value with two periods prior to maturity. The stock price process is us % & u 2 S S % & dus (23) ds % & d 2 S so that the option price process is 18/ 25

Multiperiod Binomial Option Pricing cont d 19/ 25 c % & c u % & c d % & c uu max 0; u 2 S X c du max [0; dus X ] c dd max 0; d 2 S We know how to solve one-period problems: X (24) c u = bc uu + (1 b) c du (25) R c d = bc du + (1 b) c dd (26) R

Multiperiod Binomial Option Pricing cont d With two periods to maturity, the next period cash ows o c u and c d are replicated by a portolio o = cu c d shares o dc u (u d )S stock and B = uc d (u d )R o bonds. No arbitrage implies c = S + B = 1 R [bc u + (1 b) c d ] (27) which, as beore says that c t = 1 R b E [ct+1 ]. The market is complete over both the last period and second-to-last periods. Substituting in or c u and c d, we have c = 1 R 2 hb 2 c uu + 2b (1 b) c ud + (1 b) 2 c dd i 20/ 25

Multiperiod Binomial Option Pricing cont d = 1 b 2 R 2 max 0; u 2 S X + 2b (1 b) max [0; dus X ] + 1 h(1 R 2 b) 2 max 0; d 2 S X i which says c t = 1 be [c R 2 t+2 ]. Note when a market is complete each period, it becomes dynamically complete. By appropriate trading in just two assets, payo s in three states o nature can be replicated. Repeating this analysis or any period prior to maturity, we always obtain c = S + B = 1 R [bc u + (1 b) c d ] (28) 21/ 25

Multiperiod Binomial Option Pricing cont d Repeated substitution or c u, c d, c uu, c ud, c dd, c uuu, and so on, we obtain the ormula, with n periods prior to maturity: 2 3 c = 1 nx 4 n! R n b j (1 b) n j max 0; u j d n j S X 5 j! (n j)! or c t = 1 R n j=0 (29) be [c t+n ]. De ne a as the minimum number o upward jumps o S or it to exceed X. Then or all j < a (out o the money): while or all j > a (in the money): max 0; u j d n j S X = 0 (30) max 0; u j d n j S X = u j d n j S X (31) 22/ 25

Multiperiod Binomial Option Pricing cont d Thus, the ormula or c can be simpli ed: c = 1 Xn n! R n b j (1 b) n j u j d n j S X j=a j! (n j)! (32) Breaking up (32) into two terms, we have Xn n! c = S b j (1 b) n j u j d n j j=a j! (n j)! R n Xn XR n n! b j (1 b) n j (33) j=a j! (n j)! The terms in brackets are complementary binomial distribution unctions, so that (33) can be written 23/ 25

Multiperiod Binomial Option Pricing cont d where b 0 c = S[a; n; b 0 ] XR n [a; n; b] (34) u b and [a; n; b] is the probability that the R sum o n random variables that equal 1 with probability b and 0 with probability 1 b is a. For time to maturity and per-unit variance 2 (depending on u and d), as the number o periods n! 1, but the length o each period n! 0, this ormula converges to: where z c = SN (z) h ln S XR + 1 2 2 XR N z p (35) i = ( p ) and N () is the cumulative standard normal distribution unction. 24/ 25

Summary Forward contract payo s can be replicated using a static trading strategy. Option contract payo s require a dynamic trading strategy. A dynamically complete market allows us to use risk-neutral valuation. Dynamically complete markets imply replication o payo s in all uture states, but we may need to execute many trades to do so. 25/ 25