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

Similar documents
Financial Markets & Risk

1. In this exercise, we can easily employ the equations (13.66) (13.70), (13.79) (13.80) and

Currency Option or FX Option Introduction and Pricing Guide

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

Chapter 9 - Mechanics of Options Markets

Options Markets: Introduction

Market risk measurement in practice

FIN FINANCIAL INSTRUMENTS SPRING 2008

Lecture Quantitative Finance Spring Term 2015

Derivatives Analysis & Valuation (Futures)

MULTIPLE CHOICE QUESTIONS

Forwards, Futures, Options and Swaps

FE610 Stochastic Calculus for Financial Engineers. Stevens Institute of Technology

Vanilla interest rate options

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

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

Naked & Covered Positions

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

Foreign Exchange Implied Volatility Surface. Copyright Changwei Xiong January 19, last update: October 31, 2017

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

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

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

P&L Attribution and Risk Management

Derivative Securities

IEOR E4602: Quantitative Risk Management

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

INTEREST RATES AND FX MODELS

Mathematics of Financial Derivatives

Hull, Options, Futures & Other Derivatives Exotic Options

Department of Mathematics. Mathematics of Financial Derivatives

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

Hedging. MATH 472 Financial Mathematics. J. Robert Buchanan

Risk Management Using Derivatives Securities

The Black-Scholes Model

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

The objective of Part One is to provide a knowledge base for learning about the key

Lecture Quantitative Finance Spring Term 2015

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

Chapter 14 Exotic Options: I

TradeOptionsWithMe.com

Financial Management in IB. Exercises

How to Trade Options Using VantagePoint and Trade Management

Eurocurrency Contracts. Eurocurrency Futures

Asset-or-nothing digitals

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

Foreign exchange derivatives Commerzbank AG

Homework Set 6 Solutions

GLOSSARY OF COMMON DERIVATIVES TERMS

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

Forwards and Futures. Chapter Basics of forwards and futures Forwards

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

On the Cost of Delayed Currency Fixing Announcements

Chapter 14. Exotic Options: I. Question Question Question Question The geometric averages for stocks will always be lower.

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

OPTIONS CALCULATOR QUICK GUIDE

Pricing and Hedging of European Plain Vanilla Options under Jump Uncertainty

Manage Complex Option Portfolios: Simplifying Option Greeks Part II

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

MATH 476/567 ACTUARIAL RISK THEORY FALL 2016 PROFESSOR WANG

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

Applying Principles of Quantitative Finance to Modeling Derivatives of Non-Linear Payoffs

Bloomberg. Variations on the Vanna-Volga Adjustment. Travis Fisher. Quantitative Research and Development, FX Team. January 26, Version 1.

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

Chapter 24 Interest Rate Models

Skew Hedging. Szymon Borak Matthias R. Fengler Wolfgang K. Härdle. CASE-Center for Applied Statistics and Economics Humboldt-Universität zu Berlin

Review of Derivatives I. Matti Suominen, Aalto

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

Equity Option Valuation Practical Guide

This chapter discusses the valuation of European currency options. A European

Evaluating Options Price Sensitivities

SOA Exam MFE Solutions: May 2007

Robust Optimization Applied to a Currency Portfolio

An Introduction to Structured Financial Products (Continued)

Barrier options. In options only come into being if S t reaches B for some 0 t T, at which point they become an ordinary option.

Empirically Calculating an Optimal Hedging Method. Stephen Arthur Bradley Level 6 project 20cp Deadline: Tuesday 3rd May 2016

Trading Options for Potential Income in a Volatile Market

FX Volatility Smile Construction

non linear Payoffs Markus K. Brunnermeier

Consistent Pricing and Hedging of an FX Options Book

Chapter 15: Jump Processes and Incomplete Markets. 1 Jumps as One Explanation of Incomplete 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

The Black-Scholes Equation

MATH 425 EXERCISES G. BERKOLAIKO

Two Types of Options

Volatility Trading Strategies: Dynamic Hedging via A Simulation

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

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

University of Texas at Austin. HW Assignment 5. Exchange options. Bull/Bear spreads. Properties of European call/put prices.

Options. Investment Management. Fall 2005

Amortizing and Accreting Floors Vaulation

A SUMMARY OF OUR APPROACHES TO THE SABR MODEL

On the Cost of Delayed Currency Fixing Announcements

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

MFE/3F Questions Answer Key

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

EXAMINATION II: Fixed Income Valuation and Analysis. Derivatives Valuation and Analysis. Portfolio Management

The vanna-volga method for implied volatilities

Pricing Barrier Options under Local Volatility

The Black-Scholes-Merton Model

The Black-Scholes Model

Transcription:

CHAPTER 9 Solutions Exercise 1 1. The payoff diagrams will look as in the figure below.

2. Gross payoff at expiry will be: P(T) = min[(1.23 S T ), 0] + min[(1.10 S T ), 0] where S T is the EUR/USD exchange rate at expiration. 3. The net payoff will be given by: P(T) P 1.23 + P 1.10 where P 1.23, P 1.10 are the premiums of the corresponding options. 4. If there is a volatility smile, then the implied volatility of the out-of-the-money put will be higher than the implied volatility of the ATM Put. The trader selling the out-of-the-money volatility and buying the ATM volatility. Hence if the smile flattens, the trade gains. Exercise 2 (For detailed calculation see also Excel file Exercise 9.2 Solution Excel Calculation on book webpage.) Calculation (Assuming N = 1) At time t 0 = 0 1. The dealer buys a call with maturity T = 1 yrs. 2. He borrows the amount C(S 0, t 0 ) amount of money at the risk free rate r for 1 year. 3. Short the 0 amount of shares and deposit the amount 0 S 0 for δ = 1 M time period. At time t 1 = δ 1. Change in the delta value is observed i.e. 1 0 a) If change is positive means that 1 0 no. of more shares needs to be shorted. b) If change is negative implies that 1 0 to be bought back from the market.

2. Now add the resultant cash flow ( 1 0 ) S 1 due of the above portfolio adjustment to the existing cash position. Repeat this portfolio adjustment until expiration. At the time of expiration T 1. Change the delta value to = 1 if S T > K or = 0 if S T < K. 2. Add the resultant cash flow ( T T 1 ) S T to the existing cash position. 3. Close the short stock position by buying the stock after the payment of T S T. 4. Close the loan position by the payment of C(S 0, t 0 ) (1 + r). 5. Obtain the net position after adding the payoff from the call option MAX[(S T K), 0]. Exercise 3 1. Long gamma means, buying related Puts and/or Calls and then delta hedging these positions with the reverse position in the underlying. The hedge ratio will be Delta. This isolates the convexity of option payoffs and benefits from increased volatility. If markets have not priced-in the increase in volatility that may result from (anticipations of ) FED announcements, then the trade will benefit. Realized volatility will be higher than the volatility priced in the options. Gamma gains would exceed any interest expense and time decay during the 7 day period. 2. 2. Here we can calculate the gamma of at-the-money options. We can assume interest rate differentials around 3%. We can let the life of the option be 7 days. Such ATM options would have maximum gamma, since the price curve will be very close to the piecewise linear option payoff diagram. This means that the traders are maximizing their exposure to increased volatility trough Gamma.

3. Given the volatility, we can approximately calculate possible gains by letting N 2 C 2 e e 7 t t 365 (σ 2 realized σ 2 ) where et is the expected USD/NZD exchange rate and N is the notional amount which is said to be around USD10-20 millions. Calculating the Black-Scholes Gamma and then plugging in the relevant quantities in the above formula will give approximate size of expected gains for various realized volatilities. Exercise 4 1. Buying sort-dated euro Puts and the implied Gamma means that traders will go long EUR/USD exchange rates. Thus they will buy Euro and sell Dollars. 2. Buying euro puts is a hedge for further drops in euro. 3. Triggering of barrier options may lead to relatively large movements. This may or may not increase the realized volatility. If it does, then buying Gamma will be the natural response. Exercise 5 1. Two very crude approximations for Delta are, [C(S +ΔS) C(S)]/ΔS [ C(S ΔS) + C(S)]/ΔS A better approximation is [C(S +ΔS) C(S ΔS)]/2ΔS

In fact, applying these to the data shown in the Table we see that only in the last case we obtain an ATM delta of around.5. The two other cases give very different ATM Deltas. 2. ATM delta is around.5 as the third method illustrates. We can similarly calculate the Delta for spot equal to 25. However, we cannot use the third method when S = 10, or when S = 30. For these the first and the second formula need to be used. Once these deltas are calculated, then we can calculate daily gains/losses as: r1.3 1 365 + 1 2 [Delta t Delta t 1 ][S t S t 1 ] + Time decay 3. In this case the volatility is much higher and the Gamma gains will be higher as well. Exercise 6 1. Volga is a Greek relevant for Vega hedging. It is the second derivative of the option price relative to the volatility parameter, Volga = 2 C σ 2 2. Vanna represent the derivative of the Vega with respect to the spot price, 2 C Vanna = σ S t 3. These Greeks can be considered as changes in Vega when volatility and the underlying 4. spot price change. Hence they will be relevant for hedging and measuring Vega exposures. Exercise 7.

(a) The futures strategy is to buy CAD and sell CHF. Geopolitical uncertainty is likely to be bullish for energy producing countries such as Canada and their currencies. Canada is a major trading partner of the US and would therefore benefit from increases in US growth. The bed is therefore for the CHF to weaken against CAD. Due to the peg of the CHF against EUR it is likely that appreciation of the CHF against the USD and CAD is also likely to be capped. (b) An alternative strategy to benefit from the peg of the CHF against EUR would be to buy call options on CAD/CHF to benefit from a weakening of the CHF. Writing put options on the CAD/CHF is another possible option strategy which would be based on the notion that an appreciation of CHF against CAD is unlikely and therefore the writer of the put option could pocket the premium. Exercise 8. (For detailed calculation see also Matlab file Exercise 9.8 Solution Matlab Calculation on book webpage.) Calculation The BSM formula for European vanilla call and put option is given as: C(t) = S t N(c 1 ) Ke r(t t) N(c 2 ) P(t) = Ke r(t t) N( c 2 ) S t N( c 1 ) with

c 1,2 = log S t K + (r ± 1 2 σ2 ) (T t) σ T t Result The price of European plain vanilla call option = 13.34 The price of European plain vanilla put option = 10.67

Exercise 9. (For detailed calculation see also Matlab file Exercise 9.9 Solution Matlab Calculation on book webpage.) Calculation The BSM formula for Chooser option is given as: C h (t) = [S t (N(c 1 ) N(d 1 ))] + Ke r(t t) (N( d 2 ) N(c 2 )) with c 1,2 = log S t K + (r ± 1 2 σ2 ) (T t) σ T t

d 1,2 = log S t K + (r(t t) ± 1 2 σ2 ) (T 0 t) σ T 0 t Result The price of chooser option for the given data is 20.21

Exercise 10. (For detailed calculation see also Matlab file Exercise 9.10 Solution Matlab Calculation on book webpage.) The BSM formula for Barrier down-and-out call option is given as for H S: C b (t) = C(t) J(t) where C(t) is the price of European vanilla call option and for J(t), J(t) = S t ( H S t ) 2(r 1 2 σ2 ) σ 2 +2 N(c 1 ) Ke r(t T) ( H S t ) 2(r 1 2 σ2 ) σ 2 N(c 2 )

log H2 S c 1,2 = t K + (r ± 1 2 σ2 ) (T t) σ T t For H S K the price of Barrier down-and-out option is given by J(t) Result The price of Barrier down-and-out call option price = 5.5255 The price of Barrier down-and-in call option price = 7.8143

Exercise 11. (For detailed calculation see also Matlab file Exercise 9.11 Solution Matlab Calculation on book webpage.) Calculation M = 6 At time t 0 = 0 4. The dealer buys a call with maturity T = 1 yrs. 5. He borrows the amount C(S 0, t 0 ) amount of money at the risk free rate r for 1 year. 6. Short the 0 amount of shares and deposit the amount 0 S 0 for δ = 1 M time period. At time t 1 = δ

4. Change in the delta value is observed i.e. 1 0 c) If change is positive means that 1 0 no. of more shares needs to be shorted. d) If change is negative implies that 1 0 to be bought back from the market. 5. Now add the resultant cash flow ( 1 0 ) S 1 due of the above portfolio adjustment to the existing cash position. Repeat this portfolio adjustment until expiration. At the time of expiration T 6. Change the delta value to = 1 if S T > K or = 0 if S T < K. 7. Add the resultant cash flow ( T T 1 ) S T to the existing cash position. 8. Close the short stock position by buying the stock after the payment of T S T. 9. Close the loan position by the payment of C(S 0, t 0 ) (1 + r). 10. Obtain the net position after adding the payoff from the call option MAX[(S T K), 0]. To obtain the performance measure repeat the above calculation say 1000 time and observe the standard deviation of the net cash position value. Carry out the above calculation for M = 12, 50, 100 & 300. For delta hedge frequency = 6