Lecture 15. Concepts of Black-Scholes options model. I. Intuition of Black-Scholes Pricing formulas

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

Two Types of Options

Review of Derivatives I. Matti Suominen, Aalto

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

MATH 476/567 ACTUARIAL RISK THEORY FALL 2016 PROFESSOR WANG. Homework 3 Solution

Risk Management Using Derivatives Securities

Valuing Stock Options: The Black-Scholes-Merton Model. Chapter 13

Lecture 9: Practicalities in Using Black-Scholes. Sunday, September 23, 12

Options (2) Class 20 Financial Management,

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

Equity Asian Option Valuation Practical Guide

Introduction to Financial Derivatives

Solutions of Exercises on Black Scholes model and pricing financial derivatives MQF: ACTU. 468 S you can also use d 2 = d 1 σ T

Technically, volatility is defined as the standard deviation of a certain type of return to a

Valuing Put Options with Put-Call Parity S + P C = [X/(1+r f ) t ] + [D P /(1+r f ) t ] CFA Examination DERIVATIVES OPTIONS Page 1 of 6

The Black-Scholes Model

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

Options Markets: Introduction

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology

The Black-Scholes Model

Options, American Style. Comparison of American Options and European Options

OPTION VALUATION Fall 2000

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

4. Black-Scholes Models and PDEs. Math6911 S08, HM Zhu

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

Financial Markets & Risk

Chapter 9 - Mechanics of Options Markets

Pricing Interest Rate Options with the Black Futures Option Model

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

Lecture 8: The Black-Scholes theory

Edgeworth Binomial Trees

Advanced Corporate Finance. 5. Options (a refresher)

Global Financial Management. Option Contracts

MATH 476/567 ACTUARIAL RISK THEORY FALL 2016 PROFESSOR WANG

FIN FINANCIAL INSTRUMENTS SPRING 2008

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

Risk Neutral Valuation, the Black-

Introduction to Financial Derivatives

Chapter 22: Real Options

Completeness and Hedging. Tomas Björk

Derivative Securities

Math 181 Lecture 15 Hedging and the Greeks (Chap. 14, Hull)

non linear Payoffs Markus K. Brunnermeier

Option pricing models

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying

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

The Multistep Binomial Model

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

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

Swaptions. Product nature

Homework Assignments

LECTURE 12. Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The time series of implied volatility

UNIVERSITY OF AGDER EXAM. Faculty of Economicsand Social Sciences. Exam code: Exam name: Date: Time: Number of pages: Number of problems: Enclosure:

Valuation of Options: Theory

Homework Set 6 Solutions

Fixed Income and Risk Management

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

1 Geometric Brownian motion

SOLUTIONS. Solution. The liabilities are deterministic and their value in one year will be $ = $3.542 billion dollars.

Empirical Option Pricing. Matti Suominen

Risk-neutral Binomial Option Valuation

Lecture Quantitative Finance Spring Term 2015

Chapter 14 Exotic Options: I

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.

Black-Scholes-Merton Model

Chapter 5. Risk Handling Techniques: Diversification and Hedging. Risk Bearing Institutions. Additional Benefits. Chapter 5 Page 1

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

Errata and updates for ASM Exam MFE (Tenth Edition) sorted by page.

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

d St+ t u. With numbers e q = The price of the option in three months is

Understanding and Solving Societal Problems with Modeling and Simulation

Approximation of functions and American options

Motivating example: MCI

Appendix: Basics of Options and Option Pricing Option Payoffs

Forwards and Futures

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

Empirical Option Pricing

Applying the Principles of Quantitative Finance to the Construction of Model-Free Volatility Indices

CHAPTER 5. Introduction to Risk, Return, and the Historical Record INVESTMENTS BODIE, KANE, MARCUS. McGraw-Hill/Irwin

Lecture 2. Agenda: Basic descriptions for derivatives. 1. Standard derivatives Forward Futures Options

1. What is Implied Volatility?

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

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

Binomial Trees. Liuren Wu. Options Markets. Zicklin School of Business, Baruch College. Liuren Wu (Baruch ) Binomial Trees Options Markets 1 / 22

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

Zekuang Tan. January, 2018 Working Paper No

Implied Volatility Surface

Equity Warrant Difinitin and Pricing Guide

I. Reading. A. BKM, Chapter 20, Section B. BKM, Chapter 21, ignore Section 21.3 and skim Section 21.5.

Chapter 5 Finite Difference Methods. Math6911 W07, HM Zhu

Change of Measure (Cameron-Martin-Girsanov Theorem)

The Black-Scholes PDE from Scratch

Mathematics of Financial Derivatives

1 Interest Based Instruments

Path-dependent inefficient strategies and how to make them efficient.

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

IEOR E4602: Quantitative Risk Management

The Greek Letters Based on Options, Futures, and Other Derivatives, 8th Edition, Copyright John C. Hull 2012

Introduction to Binomial Trees. Chapter 12

Asset-or-nothing digitals

Transcription:

Lecture 15 Concepts of Black-Scholes options model Agenda: I. Intuition of Black-Scholes Pricing formulas II. III. he impact of stock dilution: an example of stock warrant pricing model he impact of Dividends:

I. Intuition of Black-Scholes Pricing formulas: c = S N(d 1 ) Ke -r N(d ) p= Ke -r N(-d ) S N(-d 1 ) ln( S / K ) ( r / ) d = ln( S / K ) ( r / ) =d 1 - Intuition: N(d ): the probability that the option will be exercised, prob.(s > K) in a riskneutral world. N(d ) K: the cash outflow at maturity if the call is exercised. N(d 1 ): the sensitivity of a call option in response to the underlying asset. S N(d 1 )e r : the expected value of a variable that equals St if S >K and is zero if S K in a risk neutral world. r: zero-coupon rate for a maturity. σ: based on market expectation about the future volatility. As S is very large relatively to K: c= S K e -r = Forward As σ is close to, c =max(s e r K, ) at maturity. (It is almost risk-free.) c = e -r max(s e r K, ) = max(s K e -r, ) 1

~ Black-Scholes model for index, currency, and futures options: Stock Option = f(s, X,, r, q, σ) c = S N(d 1 ) Ke -r N(d ) p= Ke -r N(-d ) S N(-d 1 ) d = ln( S / K ) ( r ln( S / K ) ( r / ) / ) =d 1 - For index options, we need to replace S S e -q, q is the continuously compounded dividend yield. *q is similar to your carrying cost. c = S e -q N(d 1 ) Ke -r N(d ) p= Ke -r N(-d ) S e -q N(-d 1 ) d = ln( S / K ) ( r q / ) ln( S / K ) ( r q / ) =d 1 - For currency options, the foreign currency risk-free rate, r f, is jut like d. *r f is similar to q in index OPM. It s your carrying cost. c = S e -rf N(d 1 ) Ke -r N(d ) p= Ke -r N(-d ) S e -rf N(-d 1 ) d = ln( S / K ) ( r r / ) f ln( S / K ) ( r r / ) f =d 1 - For futures options, F = S e (r-q) Replace S with F e -(r-q) c = e -r [F N(d 1 ) K N(d )] p= e -r [KN(-d ) F N(-d 1 )] d = ln( F / K ) ( / ) ln( F / K ) ( / ) =d 1 -

II. he impact of stock dilution: an example of stock warrant pricing model Normal options do not affect a firm s shares outstanding. herefore, there is dilution impact. However, employees stock options or warrants have dilution effect when they are exercised. hus, the pricing for warrants are slightly different from the valuation of normal options. N: shares outstanding M: number of warrants γ: shares for each warrant. V : equity value K: strike price M γk: cash inflow when warrants are exercised. V + M γk: the equity value of the firm N + M γ: shares outstanding when warrants are exercised: he spot price corresponding to the warrant dilution = (V + M γk) / (N + M γ) = (V NK + NK + M γk) / (N + M γ) =[(V NK)/ (N + M γ) + K] he Payoff for warrant holders : γ { [(V NK)/ (N + M γ) + K] K}: = Nγ / (N + M γ) (V /N-K) he payoff for warrants holders: Nγ / (N + M γ) max(v /N-K, ) herefore, Nγ / (N + M γ) is the number of regular call options V /N is the spot price corresponding to the warrants. V = N S + M W V /N = S + M/N W W: the price of the warrant In Black-Scholes model: 1. Use S + M/N W as the spot price.. Multiply the value by Nγ / (N + M γ) 3

~ he volatility estimation: Volatility could be affected by the random arrival of new information or trading activities. According to some empirical research, we find that volatility is largely affected by trading activities. herefore, in estimating volatility, we should use actual trading days, instead of calendar days. Annualized volatility = volatility per day (5) 1/ ~ Volatility smile in stock options markets: Normal distribution V.S. Fat-tailed distribution ~ Volatility smirk in index options markets: Net buying pressure from institutional hedgers. 4

III. he impact of Dividends In reality, S EX_DIV =S D + tax effect. For European options: ~ Adjustment for dividend: Example: =6 months S =$4 D=$.5 in month. D=$.5 in month 5. R=9% K= $4 σ =.3 European call option: $3.67 S adjusted = 4.9741 = 39.59 ~ Adjustment for volatility: σ adjusted = σ S /(S -D) 5

For American options in a binominal tree: 1 3 n Call options ~ Not exercise the option: C S(t n ) D n Ke -r(-tn) S(t n ) D n Ke -r(-tn) S(t n ) K K (1- e -r(-tn) ) D n K (1- e -r(tn - tn-1) ) D n-1 Kr(t i+1 -t i ) D n-1 Exercise the option: K (1- e -r(-tn) ) < D n Put options ~ K (1- e -r(tn - tn-1) ) < D n-1 Kr(t i+1 -t i ) < D n-1 Example of early exercise American call options: =6 months S =$4 D=$.5 in month. D=$.5 in month 5. R=9% K= $4 σ =.3 K (1- e -r(tn - tn-1) ) = 4 (1- e -9% (5- )/1 ) =.89 >.5 not exercise in month. K (1- e -r( - tn) ) = 4 (1- e -9% (6-5)/1 ) =.3 <.5 exercise in month 5. According to Black s Approximation for American call options: If Option price is exercised in month 5: =5 months S =$4 D=$.5 in month. R=9% K= $4 σ =.3 S adjusted = 4.5 e -9% /1 = 39.574 Call price = 3.5 If Option price is exercised in month 6: Call price = 3.67 hus, the American call price should be $3.67 6