Mathematics of Financial Derivatives

Similar documents
Lecture 7: Trading Strategies Involve Options ( ) 11.2 Strategies Involving A Single Option and A Stock

Derivative Instruments

Trading Strategies Involving Options

P1.T3. Financial Markets & Products. Hull, Options, Futures & Other Derivatives. Trading Strategies Involving Options

FINA 1082 Financial Management

MATH4210 Financial Mathematics ( ) Tutorial 6

P&L Attribution and Risk Management

Chapter 9 - Mechanics of Options Markets

Derivatives Analysis & Valuation (Futures)

FIN FINANCIAL INSTRUMENTS SPRING 2008

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

Lecture 5. Trading With Portfolios. 5.1 Portfolio. How Can I Sell Something I Don t Own?

10 Trading strategies involving options

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane.

The Johns Hopkins Carey Business School. Derivatives. Spring Final Exam

Options Trading Strategies for a Volatile Market

Learn To Trade Stock Options

Options Markets: Introduction

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

Mathematics of Financial Derivatives

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

Naked & Covered Positions

Options. An Undergraduate Introduction to Financial Mathematics. J. Robert Buchanan. J. Robert Buchanan Options

Asset-or-nothing digitals

Mathematics of Financial Derivatives. Zero-coupon rates and bond pricing. Lecture 9. Zero-coupons. Notes. Notes

Decision Date and Risk Free Rates Apple Inc. Long Gut Bond Yields Decision Date (Today)

The Black-Scholes Model

DERIVATIVES AND RISK MANAGEMENT

covered warrants uncovered an explanation and the applications of covered warrants

STRATEGIES WITH OPTIONS

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

GLOSSARY OF OPTION TERMS

Option Trading Strategies

Financial Derivatives Section 3

Financial Markets & Risk

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

KEY OPTIONS. Strategy Guide

Strategies Using Derivatives

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

Evaluating Options Price Sensitivities

Completeness and Hedging. Tomas Björk

OPTIONS & GREEKS. Study notes. An option results in the right (but not the obligation) to buy or sell an asset, at a predetermined

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

A Brief Analysis of Option Implied Volatility and Strategies. Zhou Heng. University of Adelaide, Adelaide, Australia

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

UCLA Anderson School of Management Daniel Andrei, Option Markets 232D, Fall MBA Midterm. November Date:

Mechanics of Options Markets. Prf. José Fajardo Fundação Getulio Vargas

FINM2002 NOTES INTRODUCTION FUTURES'AND'FORWARDS'PAYOFFS' FORWARDS'VS.'FUTURES'

JEM034 Corporate Finance Winter Semester 2017/2018

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should

Implied Volatility Surface

Implied Volatility Surface

TEACHING NOTE 98-04: EXCHANGE OPTION PRICING

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane.

Lecture Quantitative Finance Spring Term 2015

How to Calculate. Opflons Prlces i. and Their Greeks: : Exploring the I. Black Scholas! Delta tovega l PIERINO URSONE

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

Using Position in an Option & the Underlying

UCLA Anderson School of Management Daniel Andrei, Derivative Markets MGMTMFE 406, Winter MFE Final Exam. March Date:

OPTION POSITIONING AND TRADING TUTORIAL

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

Lecture 1.2: Advanced Option Strategies

ECO OPTIONS AND FUTURES SPRING Options

GLOSSARY OF COMMON DERIVATIVES TERMS

Definition Pricing Risk management Second generation barrier options. Barrier Options. Arfima Financial Solutions

CHAPTER 27: OPTION PRICING THEORY

Equity Portfolio November 25, 2013 BUS 421

TRADING OPTIONS IN TURBULENT MARKETS

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. 4 (5) a b c d e 3 (2) TRUE FALSE

OPTIONS CALCULATOR QUICK GUIDE

CHAPTER 9. Solutions. Exercise The payoff diagrams will look as in the figure below.

OPTIONS ON GOLD FUTURES THE SMARTER WAY TO HEDGE YOUR RISK

Sample Term Sheet. Warrant Definitions. Risk Measurement

STRATEGY GUIDE I. OPTIONS UNIVERSITY - STRATEGY GUIDE I Page 1 of 16

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

Option pricing. School of Business C-thesis in Economics, 10p Course code: EN0270 Supervisor: Johan Lindén

Basic Option Strategies

Name: T/F 2.13 M.C. Σ

Copyright 2015 by IntraDay Capital Management Ltd. (IDC)

M3F22/M4F22/M5F22 EXAMINATION SOLUTIONS

Timely, insightful research and analysis from TradeStation. Options Toolkit

CAS Exam 8 Notes - Parts F, G, & H. Financial Risk Management Valuation International Securities

.5 M339W/389W Financial Mathematics for Actuarial Applications University of Texas at Austin Sample In-Term Exam 2.5 Instructor: Milica Čudina

Problems; the Smile. Options written on the same underlying asset usually do not produce the same implied volatility.

Options. Investment Management. Fall 2005

Options Mastery Day 2 - Strategies

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

The Black-Scholes Model

Forwards, Futures, Options and Swaps

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

TradeOptionsWithMe.com

= e S u S(0) From the other component of the call s replicating portfolio, we get. = e 0.015

CHAPTER 20 Spotting and Valuing Options

Name: 2.2. MULTIPLE CHOICE QUESTIONS. Please, circle the correct answer on the front page of this exam.

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

Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Spring 2018 Instructor: Dr. Sateesh Mane.

Fin 4200 Project. Jessi Sagner 11/15/11

Trading Strategies with Options

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

Profit settlement End of contract Daily Option writer collects premium on T+1

Transcription:

Mathematics of Financial Derivatives Lecture 8 Solesne Bourguin bourguin@math.bu.edu Boston University Department of Mathematics and Statistics

Table of contents 1. The Greek letters (continued) 2. Volatility smiles 3. Trading strategies involving options 1

The Greek letters (continued)

The Greeks: vega Definition of vega Up to now, we have assumed that the volatility of the underlying asset is constant. In practice, it changes over time. So the value of a derivative is liable to change because of movements in volatility. The vega of a portfolio of derivatives, ν, is the rate of change of the value of the portfolio with respect to the volatility of the underlying asset. It is the derivative of the portfolio with respect to σ. ν Π = Π σ. From the BSM formulas, it can be shown that ν(call) = ν(put) = S 0 T N (d 1 ). 2

The Greeks: vega Properties of vega If vega is highly positive or negative, the portfolio s value is very sensitive to small changes in volatility. If it is close to zero, small changes in volatility have very little impact on the value of the portfolio. A position in the underlying has zero vega. If ν is the vega of a portfolio and ν T is the vega of a traded option, the portfolio can be made vega neutral by adding ν/ν T options to the portfolio. However, a portfolio that is gamma neutral will not be vega neutral and vice versa. 3

The Greeks: vega Vega as a function of the stock price Vega of a call and put 0 K Stock price 4

The Greeks: rho Definition of rho The rho of a portfolio of options is the rate of change of the value of the portfolio with respect to the interest rate. It measures the sensitivity of the value of a portfolio to a change in the interest rate when all else remains the same. ρ Π = Π r. From the BSM formulas, it can be shown that ρ(call) = KTe rt N(d 2 ); ρ(put) = KTe rt N( d 2 ). 5

The Greeks in practice The realities of hedging In an ideal world, traders would like to be able to rebalance their portfolios very frequently in order to maintain all Greeks equal to zero. This is not possible in practice. Traders make their portfolios delta-neutral once a day. A zero gamma and a zero vega are less easy to achieve because it is difficult to find options that can be traded in the required volume at competitive prices. 6

Volatility smiles

Volatility smiles Definition of a volatility smile In practice, traders use the BSM model, but not in the way it was intended to be used: they allow the volatility to change. They have to do so, because observed prices of traded options reflect this when computing the implied volatilities depending on the strike. A volatility smile is a plot of the implied volatility of an option with a certain maturity as a function of its strike. 7

Volatility smiles An example of a volatility smile Implied volatility 0 Strike 8

Volatility smiles Properties of volatility smiles The smile for a put or a call is the same. This comes from the call put parity formula. In general, it is not the same for different types of options. Depending on the underlying asset (stocks, foreign currencies, interest rates), the smile takes various forms. 9

Volatility smiles Reasons for volatility smiles: assumptions of BSM The main reason is that the actual probability distribution of returns of the underlying asset IS NOT lognormal. This has the effect that an artificial change of volatility has to be implemented in order to match prices with the BSM formulas (where it is assumed that the returns are lognormal). Another reason is that the assumption that the volatility is constant is false in practice, and that the price of the underlying asset sometimes changes abruptly (with jumps) as opposed to smoothly. 10

Volatility smiles Reasons for volatility smiles: leverage effect A more concrete reason for the existence of a smile of volatility is the leverage effect. When a stock decreases in value, holding that stock becomes more risky (because of the risk of bankruptcy), and volatility increases. When a stock increases in value, holding that stock becomes less risky and volatility decreases. So volatility could be seen as a decreasing function of the stock price, which is exactly what the smile plot shows. 11

Trading strategies involving options

Trading an option and the underlying asset Covered call: long stock + short call. The long stock position protects the investor from the payoff on the short call. Protective put: long stock + long put. This is equivalent to a long call plus some cash. Keep in mind the call-put parity relation, which can be used to understand what trading options and the underlying is equivalent to. p + S 0 = c + Ke rt. 12

Covered call Protective put Profit Long stock Profit Long stock 0 K S T 0 K S T Long put Short call 13

Spreads A spread trading strategy involves taking a position in two or more options of the same type (i.e., two or more calls or two or more puts). Bull spreads A bull spread is created by buying a call with a certain strike and selling a call with a higher strike. Both options are on the same stock with the same maturity. The payoff of a bull spread is given in the following table. Stock price range Payoff from long call option Payoff from short call option Total payoff S T K 1 0 0 0 K 1 < S T < K 2 S T K 1 0 S T K 1 S T K 2 S T K 1 (S T K 2 ) K 2 K 1 14

Bull spread Profit Long call, strike K 1 0 K 1 K 2 S T Short call, strike K 2 15

Bull spreads (continued) An investor who enters into a bull spread is hoping the stock price will increase. A bull spread strategy limits the investor s upside as well as downside risk. Three types of bull spreads can be distinguished. 1. Both calls are initially out of the money (very cheap and low chance of high payoff: aggressive). 2. One call is initially in the money, and the other one is out of the money (more conservative). 3. Both calls are in the money (most conservative). Remark Bull spreads can also be created by buying a put with a low strike and selling a put with a high strike. 16

Bear spreads A bear spread is created by buying a put with a certain strike and selling a put with a smaller strike. Both options are on the same stock with the same maturity. The payoff of a bear spread is given in the following table. Stock price range Payoff from long put option Payoff from short put option Total payoff S T K 1 K 2 S T (K 1 S T ) K 2 K 1 K 1 < S T < K 2 K 2 S T 0 K 2 S T S T K 2 0 0 0 17

Bear spread Profit Short put, strike K 1 0 K 1 K 2 S T Long put, strike K 2 18

Bear spreads (continued) An investor who enters into a bear spread is hoping that the stock price will decline. Bear spreads limit the investor s upside as well as downside risk. Remark Bear spreads can also be created by buying a call with a high strike and selling a call with a low strike. 19

Box spreads A box spread is a combination of a bull call spread with strikes K 1 and K 2 and a bear put spread with the same two strikes. The payoff of a box spread is always K 2 K 1. The value of a box spread is hence always (K 2 K 1 )e rt. If it has a different value, there is an arbitrage opportunity (find it!). Stock price range Payoff from bull call spread Payoff from bear put spread Total payoff S T K 1 0 K 2 K 1 K 2 K 1 K 1 < S T < K 2 S T K 1 K 2 S T K 2 K 1 S T K 2 K 2 K 1 0 K 2 K 1 20

Box spread Profit Bull call spread 0 K 1 K 2 S T Bear put spread 21

Butterfly spreads A butterfly spread involves positions in options with three different strikes. It can be created by buying a call with a low strike K 1, buying a call with a high strike K 3, and selling two calls with a strike K 2 that is halfway between K 1 and K 3. Generally, K 2 is close to the current stock price. The payoff of a butterfly spread is given in the following table (assuming K 2 = 0.5(K 1 + K 3 )). Stock price range Payoff from first long call Payoff from second long call Payoff from short calls Total payoff S T K 1 0 0 0 0 K 1 < S T K 2 S T K 1 0 0 S T K 1 K 2 < S T < K 3 S T K 1 0 2(S T K 2) K 3 S T S T K 3 S T K 1 S T K 3 2(S T K 2) 0 22

Butterfly spread Profit Long call, strike K 1 Long call, strike K 3 0 K 1 K 2 K 3 S T Short 2 calls, strike K 2 23

Butterfly spreads (continued) A butterfly spread leads to a profit if the stock price stays close to K 2, but gives a small loss if there is a significant stock price move in either direction. It is therefore an appropriate strategy for an investor who feels that large stock price moves are unlikely. It requires a small investment initially. Remark Butterfly spreads can also be created using put options. The investor buys two puts, one with a low strike and one with a high strike, and sells two puts with an intermediate strike. 24

Combinations A combination is an option trading strategy that involves taking a position in both calls and puts on the same stock. Some combinations are straddles, strips, straps, and strangles. Straddle A straddle is created by buying a call and a put with the same strike and maturity. The payoff of a straddle is given in the following table. Stock price range Payoff from call Payoff from put Total payoff S T K 0 K S T K S T S T > K S T K 0 S T K 25

Straddle Profit Long call, strike K 0 K S T Long put, strike K 26

Straddle (continued) If the stock price is close to the strike at maturity, the straddle leads to a loss. However, if there is a sufficiently large move in either direction, a significant profit will result. A straddle is appropriate when an investor is expecting a large move in a stock price but does not know in which direction the move will be. 27

Strips and straps A strip consists of a long position in one call and two puts with the same strike and maturity. Strip (1 call + 2 puts) Strap (2 calls + 1 put) Profit Profit 0 K S T 0 K S T In a strip, the investor is betting that there will be a big stock price move and considers a decrease more likely than an increase. In a strap, it s the same, but the investor considers that an increase is more likely than an increase. 28

Strangle A strangle is created by buying a call and a put with the same maturity but with different strikes. The payoff of a strangle is given in the following table. Stock price range Payoff from call Payoff from put Total payoff S T K 1 0 K 1 S T K 1 S T K 1 < S T < K 2 0 0 0 S T K 2 S T K 2 0 S T K 2 29

Strangle Profit Long call, strike K 2 0 K 1 K 2 S T Long put, strike K 1 30

Strangles (continued) A strangle is a similar strategy to a straddle. The investor is betting that there will be a large price move, but is uncertain whether it will be an increase or a decrease. We see that the stock price has to move farther in a strangle than in a straddle for the investor to make a profit. However, the downside risk if the stock price ends up at a central value is less with a strangle. 31