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

Size: px
Start display at page:

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

Transcription

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

2 Introduction Each of the Greek letters measures a different dimension to the risk in an option position. The aim of a trader is to manage the Greeks so that all risks are acceptable. A bank has sold for $300,000 a European call option on 100,000 shares of a non-dividend paying stock. The points that will be made apply to other types of options and derivatives. S 0 = 49, K = 50, r = 5%, s = 20%, T = 20 weeks ( years), m = 13% The Black-Scholes-Merton value of the option is $240,000(i.e., $2.40 for an option to buy one share). A good hedge would ensure that the cost is always equal or at least close to $240,000. 2

3 Naked and Covered Positions Strategy A: Naked position Suppose that the bank takes a naked position against risk: it takes no specific action to hedge risk. If the stock price at the end of the 20 weeks remains below K=$50, then this strategy works well. A naked position does not work well if the call is exercised because the bank then has to buy 100,000 shares at the market price prevailing in 20 weeks to cover the call. The cost to the financial institution is 100,000 times the amount by which the stock price exceeds the strike price. 3

4 Naked and Covered Positions Strategy B: Covered position As an alternative to a naked position, the financial institution can adopt a covered position. This involves buying 100,000 shares as soon as the option has been sold. If the option is exercised, this strategy works well, but in other circumstances it could lead to a significant loss. For example, if the stock price drops to $40, the financial institution loses $900,000 on its stock position. 4

5 Stop-loss Strategy Neither a naked nor a covered position provides a good hedge on its own. An alternative hedging procedure is the stop-loss strategy, which is a combination of both naked and covered strategies. This involves: Buying 100,000 shares as soon as the stock price rises above $50. Selling 100,000 shares as soon as price falls below $50. The objective is to hold a naked position whenever the stock price is less than K and a covered position whenever the stock price is greater than K. 5

6 Stop-loss Strategy The stop-loss strategy involves buying the stock at time t1, selling it at time t2, buying it at time t3, selling it at time t4, buying it at time t5, and delivering it at time T. 6

7 Stop-loss Strategy The procedure is designed to ensure that at time T the institution owns the stock if the option closes in the money and does not own it if the option closes out of the money. Options are referred to as in the money, at the money, or out of the money. A call option is in the money when S > K, at the money when S = K, and out of the money when S < K. A put option is in the money when S < K, at the money when S = K, and out of the money when S > K. 7

8 Stop-loss Strategy The cost of setting up the hedge initially is S 0 if S 0 > Kand zero otherwise. It seems as though the total cost, Q, of writing and hedging the option is the option s initial intrinsic value: Q = max(s 0 K, 0) The intrinsic value of an option is defined as the maximum of zero and the value the option would have if it were exercised immediately. For a call option, the intrinsic value is max S 0 K, 0 For a put option, it is max (K S 0, 0) As we can see, all purchases and sales subsequent to time 0 are made at price K. 8

9 Stop-loss Strategy There are two key reasons why the cost equation is incorrect. The first is that the cash flows to the hedger occur at different times and must be discounted. The second is that purchases and sales cannot be made at exactly the same price K. If we assume a risk-neutral world with zero interest rates, we can justify Q ignoring the time value of money. But we cannot legitimately assume that both purchases and sales are made at the same price. The hedger cannot know whether the stock price equals K, it will continue above or below K. 9

10 Stop-loss Strategy In practice, purchases are made at a price K + e and sales are made at a price K + e, for some small e>0. Thus, every purchase and subsequent sale involves a cost (apart from transaction costs) of 2e. If the path of the stock price crosses the strike price level many times, the procedure is quite expensive. Assuming that stock prices change continuously, e can be made arbitrarily small by monitoring the stock prices closely. But as e is made smaller, trades tend to occur more frequently. Thus, the lower cost per trade is offset by the increased frequency of trading. As e 0, the expected number of trades. 10

11 Delta hedging The delta (Δ) of an option is defined as the rate of change of the option price with respect to the price of the underlying asset. It is the slope of the curve that relates the option price to the underlying asset price. Suppose that the delta of a call option on a stock is 0.6. This means that when the stock price changes by a small amount, the option price changes by about 60% of that amount. In general: Δ = c S where c is the price of the call option and S is the stock price. 11

12 Delta hedging The figure shows the relationship between a call price and the underlying stock price. When the stock price corresponds to point A, the option price corresponds to point B and is the slope of the line indicated. Call option price B Slope = D = 0.6 A Stock price 12

13 Delta hedging Suppose that the stock price is $100 and the price of a call option is $10. An investor has sold 20 call option contracts -that is, options on 2,000 shares. The investor s position could be hedged by buying: 0.6 x 2,000 = 1,200 shares The delta of the trader s short position in 2,000 options is: 0.6 x (-2,000) = -1,200 shares 13

14 Delta hedging If the stock price goes up by $1 (producing a gain of $1,200 on the shares purchased), the option price will tend to go up by 0.6 x $1 = $0.60 (producing a loss of $1,200). If the stock price goes down by $1 (producing a loss of $1,200 on the shares purchased), the option price will tend to go down by $0.60 (producing a gain of $1,200 on the options written). The gain (loss) on the stock position would then tend to offset the loss (gain) on the option position. The delta of the stock position offsets the delta of the option position. A position with a delta of zero is referred to as delta neutral. 14

15 Delta hedging The delta of an option does not remain constant. Therefore, the trader s position remains delta hedged (or delta neutral) for only a relatively short period of time. The hedge has to be adjusted periodically. This is known as rebalancing. Suppose that delta rises from 0.60 to An extra 0.05 x 2,000 = 100 shares would then have to be purchased to maintain the hedge. A procedure such as this, where the hedge is adjusted on a regular basis, is referred to as dynamic hedging. It can be contrasted with static hedging, where a hedge is set up initially and never adjusted. Static hedging is sometimes also referred to as hedge-andforget. 15

16 Delta hedging For a European call option on a non-dividend-paying stock, it can be shown that: Δ(call) = N(d1) where: N(x) is the cumulative distribution function for a s.n. distribution. ln( S K r 2 T d 0 / ) ( / 2) 1 = T The above formula gives the delta of a long position in one call option. The delta of a European futures call option is defined as the rate of change of the option price with respect to the futures price (not the spot price). Δ(call) = e rt N(d1) The delta of a short position in one call option is given by: Δ(call) = - N(d1) 16

17 Delta hedging For a European put option on a non-dividend-paying stock, it can be shown that: Δ(put) = N(d1) - 1 Delta is negative, which means that a long position in a put option should be hedged with a long position in the underlying stock. A short position in a put option should be hedged with a short position in the underlying stock. 17

18 Delta hedging Variation of delta with stock price for (a) a call option and (b) a put option on a non-dividend-paying stock. 18

19 Delta hedging: Exercise What is the delta of a short position in 1,000 European call options on silver futures? The options mature in eight months, and the futures contract underlying the option matures in nine months. The current nine-month futures price is $8 per ounce. The exercise price of the options is $8. The risk-free interest rate is 12% per annum. The volatility of silver is 18% per annum. 19

20 Theta The theta (Θ) of a portfolio of options is the rate of change of the value of the portfolio with respect to the passage of time with all else remaining the same. Theta is sometimes referred to as the time decay of the portfolio. The theta of a call or put is usually negative. A negative theta means that, if time passes with the price of the underlying asset and its volatility remaining the same, the value of a long call or put option declines. 20

21 Gamma The Gamma (G) is the rate of change of delta (D) with respect to the price of the underlying asset. Gamma is the second partial derivative of the portfolio with respect to asset price: If gamma is small, delta changes slowly, and adjustments to keep a portfolio delta neutral need to be made only relatively infrequently. However, if gamma is highly negative or highly positive, delta is very sensitive to the price of the underlying asset. It is then quite risky to leave a delta-neutral portfolio unchanged for any length of time. 21

22 Relationship Between Delta, Gamma, and Theta For a portfolio of derivatives on a stock paying a continuous dividend yield at rate q it follows from the Black-Scholes-Merton differential equation that: rsd S = r 2 For a delta-neutral portfolio (Δ = 0), we obtain: S 2 = r This shows that, when Θ is large and positive, gamma of a portfolio tends to be large and negative, and vice versa. 22

Naked & Covered Positions

Naked & Covered Positions The Greek Letters 1 Example A bank has sold for $300,000 a European call option on 100,000 shares of a nondividend paying stock S 0 = 49, K = 50, r = 5%, σ = 20%, T = 20 weeks, μ = 13% The Black-Scholes

More information

Options, Futures, and Other Derivatives, 7th Edition, Copyright John C. Hull

Options, Futures, and Other Derivatives, 7th Edition, Copyright John C. Hull Derivatives, 7th Edition, Copyright John C. Hull 2008 1 The Greek Letters Chapter 17 Derivatives, 7th Edition, Copyright John C. Hull 2008 2 Example A bank has sold for $300,000 000 a European call option

More information

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

Math 181 Lecture 15 Hedging and the Greeks (Chap. 14, Hull) Math 181 Lecture 15 Hedging and the Greeks (Chap. 14, Hull) One use of derivation is for investors or investment banks to manage the risk of their investments. If an investor buys a stock for price S 0,

More information

Hedging. MATH 472 Financial Mathematics. J. Robert Buchanan

Hedging. MATH 472 Financial Mathematics. J. Robert Buchanan Hedging MATH 472 Financial Mathematics J. Robert Buchanan 2018 Introduction Definition Hedging is the practice of making a portfolio of investments less sensitive to changes in market variables. There

More information

Hedging with Options

Hedging with Options School of Education, Culture and Communication Tutor: Jan Röman Hedging with Options (MMA707) Authors: Chiamruchikun Benchaphon 800530-49 Klongprateepphol Chutima 80708-67 Pongpala Apiwat 808-4975 Suntayodom

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

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

FIN FINANCIAL INSTRUMENTS SPRING 2008

FIN FINANCIAL INSTRUMENTS SPRING 2008 FIN-40008 FINANCIAL INSTRUMENTS SPRING 2008 The Greeks Introduction We have studied how to price an option using the Black-Scholes formula. Now we wish to consider how the option price changes, either

More information

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

CAS Exam 8 Notes - Parts F, G, & H. Financial Risk Management Valuation International Securities CAS Exam 8 Notes - Parts F, G, & H Financial Risk Management Valuation International Securities Part III Table of Contents F Financial Risk Management 1 Hull - Ch. 17: The Greek letters.....................................

More information

P&L Attribution and Risk Management

P&L Attribution and Risk Management P&L Attribution and Risk Management Liuren Wu Options Markets (Hull chapter: 15, Greek letters) Liuren Wu ( c ) P& Attribution and Risk Management Options Markets 1 / 19 Outline 1 P&L attribution via the

More information

Derivatives Analysis & Valuation (Futures)

Derivatives Analysis & Valuation (Futures) 6.1 Derivatives Analysis & Valuation (Futures) LOS 1 : Introduction Study Session 6 Define Forward Contract, Future Contract. Forward Contract, In Forward Contract one party agrees to buy, and the counterparty

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

Asset-or-nothing digitals

Asset-or-nothing digitals School of Education, Culture and Communication Division of Applied Mathematics MMA707 Analytical Finance I Asset-or-nothing digitals 202-0-9 Mahamadi Ouoba Amina El Gaabiiy David Johansson Examinator:

More information

OPTION POSITIONING AND TRADING TUTORIAL

OPTION POSITIONING AND TRADING TUTORIAL OPTION POSITIONING AND TRADING TUTORIAL Binomial Options Pricing, Implied Volatility and Hedging Option Underlying 5/13/2011 Professor James Bodurtha Executive Summary The following paper looks at a number

More information

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

OPTIONS & GREEKS. Study notes. An option results in the right (but not the obligation) to buy or sell an asset, at a predetermined OPTIONS & GREEKS Study notes 1 Options 1.1 Basic information An option results in the right (but not the obligation) to buy or sell an asset, at a predetermined price, and on or before a predetermined

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

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

2 f. f t S 2. Delta measures the sensitivityof the portfolio value to changes in the price of the underlying Sensitivity analysis Simulating the Greeks Meet the Greeks he value of a derivative on a single underlying asset depends upon the current asset price S and its volatility Σ, the risk-free interest rate

More information

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

UNIVERSITY OF AGDER EXAM. Faculty of Economicsand Social Sciences. Exam code: Exam name: Date: Time: Number of pages: Number of problems: Enclosure: UNIVERSITY OF AGDER Faculty of Economicsand Social Sciences Exam code: Exam name: Date: Time: Number of pages: Number of problems: Enclosure: Exam aids: Comments: EXAM BE-411, ORDINARY EXAM Derivatives

More information

Greek Maxima 1 by Michael B. Miller

Greek Maxima 1 by Michael B. Miller Greek Maxima by Michael B. Miller When managing the risk of options it is often useful to know how sensitivities will change over time and with the price of the underlying. For example, many people know

More information

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

LECTURE 12. Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The time series of implied volatility LECTURE 12 Review Options C = S e -δt N (d1) X e it N (d2) P = X e it (1- N (d2)) S e -δt (1 - N (d1)) Volatility is the question on the B/S which assumes constant SD throughout the exercise period - The

More information

Evaluating Options Price Sensitivities

Evaluating Options Price Sensitivities Evaluating Options Price Sensitivities Options Pricing Presented by Patrick Ceresna, CMT CIM DMS Montréal Exchange Instructor Disclaimer 2016 Bourse de Montréal Inc. This document is sent to you on a general

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

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

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 DERIVATIVES OPTIONS A. INTRODUCTION There are 2 Types of Options Calls: give the holder the RIGHT, at his discretion, to BUY a Specified number of a Specified Asset at a Specified Price on, or until, a

More information

Lecture Quantitative Finance Spring Term 2015

Lecture Quantitative Finance Spring Term 2015 and Lecture Quantitative Finance Spring Term 2015 Prof. Dr. Erich Walter Farkas Lecture 06: March 26, 2015 1 / 47 Remember and Previous chapters: introduction to the theory of options put-call parity fundamentals

More information

K = 1 = -1. = 0 C P = 0 0 K Asset Price (S) 0 K Asset Price (S) Out of $ In the $ - In the $ Out of the $

K = 1 = -1. = 0 C P = 0 0 K Asset Price (S) 0 K Asset Price (S) Out of $ In the $ - In the $ Out of the $ Page 1 of 20 OPTIONS 1. Valuation of Contracts a. Introduction The Value of an Option can be broken down into 2 Parts 1. INTRINSIC Value, which depends only upon the price of the asset underlying the option

More information

The Black-Scholes Model

The Black-Scholes Model IEOR E4706: Foundations of Financial Engineering c 2016 by Martin Haugh The Black-Scholes Model In these notes we will use Itô s Lemma and a replicating argument to derive the famous Black-Scholes formula

More information

Hull, Options, Futures & Other Derivatives Exotic Options

Hull, Options, Futures & Other Derivatives Exotic Options P1.T3. Financial Markets & Products Hull, Options, Futures & Other Derivatives Exotic Options Bionic Turtle FRM Video Tutorials By David Harper, CFA FRM 1 Exotic Options Define and contrast exotic derivatives

More information

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

UCLA Anderson School of Management Daniel Andrei, Derivative Markets MGMTMFE 406, Winter MFE Final Exam. March Date: UCLA Anderson School of Management Daniel Andrei, Derivative Markets MGMTMFE 406, Winter 2018 MFE Final Exam March 2018 Date: Your Name: Your email address: Your Signature: 1 This exam is open book, open

More information

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

Lecture 9: Practicalities in Using Black-Scholes. Sunday, September 23, 12 Lecture 9: Practicalities in Using Black-Scholes Major Complaints Most stocks and FX products don t have log-normal distribution Typically fat-tailed distributions are observed Constant volatility assumed,

More information

Derivative Securities

Derivative Securities Derivative Securities he Black-Scholes formula and its applications. his Section deduces the Black- Scholes formula for a European call or put, as a consequence of risk-neutral valuation in the continuous

More information

CHAPTER 17 OPTIONS AND CORPORATE FINANCE

CHAPTER 17 OPTIONS AND CORPORATE FINANCE CHAPTER 17 OPTIONS AND CORPORATE FINANCE Answers to Concept Questions 1. A call option confers the right, without the obligation, to buy an asset at a given price on or before a given date. A put option

More information

OPTIONS CALCULATOR QUICK GUIDE

OPTIONS CALCULATOR QUICK GUIDE OPTIONS CALCULATOR QUICK GUIDE Table of Contents Introduction 3 Valuing options 4 Examples 6 Valuing an American style non-dividend paying stock option 6 Valuing an American style dividend paying stock

More information

GLOSSARY OF OPTION TERMS

GLOSSARY OF OPTION TERMS ALL OR NONE (AON) ORDER An order in which the quantity must be completely filled or it will be canceled. AMERICAN-STYLE OPTION A call or put option contract that can be exercised at any time before the

More information

Greek parameters of nonlinear Black-Scholes equation

Greek parameters of nonlinear Black-Scholes equation International Journal of Mathematics and Soft Computing Vol.5, No.2 (2015), 69-74. ISSN Print : 2249-3328 ISSN Online: 2319-5215 Greek parameters of nonlinear Black-Scholes equation Purity J. Kiptum 1,

More information

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

Valuing Stock Options: The Black-Scholes-Merton Model. Chapter 13 Valuing Stock Options: The Black-Scholes-Merton Model Chapter 13 1 The Black-Scholes-Merton Random Walk Assumption l Consider a stock whose price is S l In a short period of time of length t the return

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

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

FINANCE 2011 TITLE: 2013 RISK AND SUSTAINABLE MANAGEMENT GROUP WORKING PAPER SERIES

FINANCE 2011 TITLE: 2013 RISK AND SUSTAINABLE MANAGEMENT GROUP WORKING PAPER SERIES 2013 RISK AND SUSTAINABLE MANAGEMENT GROUP WORKING PAPER SERIES FINANCE 2011 TITLE: Managing Option Trading Risk with Greeks when Analogy Making Matters AUTHOR: Schools of Economics and Political Science

More information

A study on parameters of option pricing: The Greeks

A study on parameters of option pricing: The Greeks International Journal of Academic Research and Development ISSN: 2455-4197, Impact Factor: RJIF 5.22 www.academicsjournal.com Volume 2; Issue 2; March 2017; Page No. 40-45 A study on parameters of option

More information

The Black-Scholes Model

The Black-Scholes Model The Black-Scholes Model Inputs Spot Price Exercise Price Time to Maturity Rate-Cost of funds & Yield Volatility Process The Black Box Output "Fair Market Value" For those interested in looking inside the

More information

How to Trade Options Using VantagePoint and Trade Management

How to Trade Options Using VantagePoint and Trade Management How to Trade Options Using VantagePoint and Trade Management Course 3.2 + 3.3 Copyright 2016 Market Technologies, LLC. 1 Option Basics Part I Agenda Option Basics and Lingo Call and Put Attributes Profit

More information

Fin 4200 Project. Jessi Sagner 11/15/11

Fin 4200 Project. Jessi Sagner 11/15/11 Fin 4200 Project Jessi Sagner 11/15/11 All Option information is outlined in appendix A Option Strategy The strategy I chose was to go long 1 call and 1 put at the same strike price, but different times

More information

F1 Results. News vs. no-news

F1 Results. News vs. no-news F1 Results News vs. no-news With news visible, the median trading profits were about $130,000 (485 player-sessions) With the news screen turned off, median trading profits were about $165,000 (283 player-sessions)

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

Mathematics of Financial Derivatives

Mathematics of Financial Derivatives 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

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

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

UCLA Anderson School of Management Daniel Andrei, Option Markets 232D, Fall MBA Midterm. November Date: UCLA Anderson School of Management Daniel Andrei, Option Markets 232D, Fall 2013 MBA Midterm November 2013 Date: Your Name: Your Equiz.me email address: Your Signature: 1 This exam is open book, open notes.

More information

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

Mathematics of Finance Final Preparation December 19. To be thoroughly prepared for the final exam, you should Mathematics of Finance Final Preparation December 19 To be thoroughly prepared for the final exam, you should 1. know how to do the homework problems. 2. be able to provide (correct and complete!) definitions

More information

Black-Scholes Call and Put Equation and Comparative Static Parameterizations

Black-Scholes Call and Put Equation and Comparative Static Parameterizations Option Greeks Latest Version: November 14, 2017 This Notebook describes how to use Mathematica to perform generate graphs of the so-called option "Greeks". Suggestions concerning ways to improve this notebook,

More information

Foreign Currency Derivatives

Foreign Currency Derivatives Foreign Currency Derivatives Eiteman et al., Chapter 5 Winter 2004 Outline of the Chapter Foreign Currency Futures Currency Options Option Pricing and Valuation Currency Option Pricing Sensitivity Prudence

More information

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

4. Black-Scholes Models and PDEs. Math6911 S08, HM Zhu 4. Black-Scholes Models and PDEs Math6911 S08, HM Zhu References 1. Chapter 13, J. Hull. Section.6, P. Brandimarte Outline Derivation of Black-Scholes equation Black-Scholes models for options Implied

More information

covered warrants uncovered an explanation and the applications of covered warrants

covered warrants uncovered an explanation and the applications of covered warrants covered warrants uncovered an explanation and the applications of covered warrants Disclaimer Whilst all reasonable care has been taken to ensure the accuracy of the information comprising this brochure,

More information

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

Synthetic options. Synthetic options consists in trading a varying position in underlying asset (or Synthetic options Synthetic options consists in trading a varying position in underlying asset (or utures on the underlying asset 1 ) to replicate the payo proile o a desired option. In practice, traders

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

Futures and Forward Contracts

Futures and Forward Contracts Haipeng Xing Department of Applied Mathematics and Statistics Outline 1 Forward contracts Forward contracts and their payoffs Valuing forward contracts 2 Futures contracts Futures contracts and their prices

More information

TradeOptionsWithMe.com

TradeOptionsWithMe.com TradeOptionsWithMe.com 1 of 18 Option Trading Glossary This is the Glossary for important option trading terms. Some of these terms are rather easy and used extremely often, but some may even be new to

More information

Financial Risk Measurement/Management

Financial Risk Measurement/Management 550.446 Financial Risk Measurement/Management Week of September 23, 2013 Interest Rate Risk & Value at Risk (VaR) 3.1 Where we are Last week: Introduction continued; Insurance company and Investment company

More information

Employee Reload Options: Pricing, Hedging, and Optimal Exercise

Employee Reload Options: Pricing, Hedging, and Optimal Exercise Employee Reload Options: Pricing, Hedging, and Optimal Exercise Philip H. Dybvig Washington University in Saint Louis Mark Loewenstein Boston University for a presentation at Cambridge, March, 2003 Abstract

More information

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

Advanced Topics in Derivative Pricing Models. Topic 4 - Variance products and volatility derivatives Advanced Topics in Derivative Pricing Models Topic 4 - Variance products and volatility derivatives 4.1 Volatility trading and replication of variance swaps 4.2 Volatility swaps 4.3 Pricing of discrete

More information

Sample Term Sheet. Warrant Definitions. Risk Measurement

Sample Term Sheet. Warrant Definitions. Risk Measurement INTRODUCTION TO WARRANTS This Presentation Should Help You: Understand Why Investors Buy s Learn the Basics about Pricing Feel Comfortable with Terminology Table of Contents Sample Term Sheet Scenario

More information

Learn To Trade Stock Options

Learn To Trade Stock Options Learn To Trade Stock Options Written by: Jason Ramus www.daytradingfearless.com Copyright: 2017 Table of contents: WHAT TO EXPECT FROM THIS MANUAL WHAT IS AN OPTION BASICS OF HOW AN OPTION WORKS RECOMMENDED

More information

Financial Risk Measurement/Management

Financial Risk Measurement/Management 550.446 Financial Risk Measurement/Management Week of September 23, 2013 Interest Rate Risk & Value at Risk (VaR) 3.1 Where we are Last week: Introduction continued; Insurance company and Investment company

More information

Black Scholes Option Valuation. Option Valuation Part III. Put Call Parity. Example 18.3 Black Scholes Put Valuation

Black Scholes Option Valuation. Option Valuation Part III. Put Call Parity. Example 18.3 Black Scholes Put Valuation Black Scholes Option Valuation Option Valuation Part III Example 18.3 Black Scholes Put Valuation Put Call Parity 1 Put Call Parity Another way to look at Put Call parity is Hedge Ratio C P = D (S F X)

More information

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

Chapter 14. Exotic Options: I. Question Question Question Question The geometric averages for stocks will always be lower. Chapter 14 Exotic Options: I Question 14.1 The geometric averages for stocks will always be lower. Question 14.2 The arithmetic average is 5 (three 5s, one 4, and one 6) and the geometric average is (5

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

CHAPTER 2 Futures Markets and Central Counterparties

CHAPTER 2 Futures Markets and Central Counterparties Options Futures and Other Derivatives 10th Edition Hull SOLUTIONS MANUAL Full download at: https://testbankreal.com/download/options-futures-and-other-derivatives- 10th-edition-hull-solutions-manual-2/

More information

Constructive Sales and Contingent Payment Options

Constructive Sales and Contingent Payment Options Constructive Sales and Contingent Payment Options John F. Marshall, Ph.D. Marshall, Tucker & Associates, LLC www.mtaglobal.com Alan L. Tucker, Ph.D. Lubin School of Business Pace University www.pace.edu

More information

Global Journal of Engineering Science and Research Management

Global Journal of Engineering Science and Research Management THE GREEKS & BLACK AND SCHOLE MODEL TO EVALUATE OPTIONS PRICING & SENSITIVITY IN INDIAN OPTIONS MARKET Dr. M. Tulasinadh*, Dr.R. Mahesh * Assistant Professor, Dept of MBA KBN College-PG Centre, Vijayawada

More information

Option Selection With Bill Corcoran

Option Selection With Bill Corcoran Presents Option Selection With Bill Corcoran I am not a registered broker-dealer or investment adviser. I will mention that I consider certain securities or positions to be good candidates for the types

More information

Answers to Selected Problems

Answers to Selected Problems Answers to Selected Problems Problem 1.11. he farmer can short 3 contracts that have 3 months to maturity. If the price of cattle falls, the gain on the futures contract will offset the loss on the sale

More information

UNIVERSITÀ DEGLI STUDI DI TORINO SCHOOL OF MANAGEMENT AND ECONOMICS SIMULATION MODELS FOR ECONOMICS. Final Report. Stop-Loss Strategy

UNIVERSITÀ DEGLI STUDI DI TORINO SCHOOL OF MANAGEMENT AND ECONOMICS SIMULATION MODELS FOR ECONOMICS. Final Report. Stop-Loss Strategy UNIVERSITÀ DEGLI STUDI DI TORINO SCHOOL OF MANAGEMENT AND ECONOMICS SIMULATION MODELS FOR ECONOMICS Final Report Stop-Loss Strategy Prof. Pietro Terna Edited by Luca Di Salvo, Giorgio Melon, Luca Pischedda

More information

Chapter 14 Exotic Options: I

Chapter 14 Exotic Options: I Chapter 14 Exotic Options: I Question 14.1. The geometric averages for stocks will always be lower. Question 14.2. The arithmetic average is 5 (three 5 s, one 4, and one 6) and the geometric average is

More information

The Black-Scholes-Merton Model

The Black-Scholes-Merton Model Normal (Gaussian) Distribution Probability Density 0.5 0. 0.15 0.1 0.05 0 1.1 1 0.9 0.8 0.7 0.6? 0.5 0.4 0.3 0. 0.1 0 3.6 5. 6.8 8.4 10 11.6 13. 14.8 16.4 18 Cumulative Probability Slide 13 in this slide

More information

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

The objective of Part One is to provide a knowledge base for learning about the key PART ONE Key Option Elements The objective of Part One is to provide a knowledge base for learning about the key elements of forex options. This includes a description of plain vanilla options and how

More information

Introduction to Financial Derivatives

Introduction to Financial Derivatives 55.444 Introuction to Financial Derivatives Week of December n, 3 he Greeks an Wrap-Up Where we are Previously Moeling the Stochastic Process for Derivative Analysis (Chapter 3, OFOD) Black-Scholes-Merton

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

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

Answers to Selected Problems

Answers to Selected Problems Answers to Selected Problems Problem 1.11. he farmer can short 3 contracts that have 3 months to maturity. If the price of cattle falls, the gain on the futures contract will offset the loss on the sale

More information

Evaluating the Black-Scholes option pricing model using hedging simulations

Evaluating the Black-Scholes option pricing model using hedging simulations Bachelor Informatica Informatica Universiteit van Amsterdam Evaluating the Black-Scholes option pricing model using hedging simulations Wendy Günther CKN : 6052088 Wendy.Gunther@student.uva.nl June 24,

More information

15 American. Option Pricing. Answers to Questions and Problems

15 American. Option Pricing. Answers to Questions and Problems 15 American Option Pricing Answers to Questions and Problems 1. Explain why American and European calls on a nondividend stock always have the same value. An American option is just like a European option,

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

Options, Futures and Structured Products

Options, Futures and Structured Products Options, Futures and Structured Products Jos van Bommel Aalto Period 5 2017 Options Options calls and puts are key tools of financial engineers. A call option gives the holder the right (but not the obligation)

More information

University of Colorado at Boulder Leeds School of Business MBAX-6270 MBAX Introduction to Derivatives Part II Options Valuation

University of Colorado at Boulder Leeds School of Business MBAX-6270 MBAX Introduction to Derivatives Part II Options Valuation MBAX-6270 Introduction to Derivatives Part II Options Valuation Notation c p S 0 K T European call option price European put option price Stock price (today) Strike price Maturity of option Volatility

More information

MATH4143: Scientific Computations for Finance Applications Final exam Time: 9:00 am - 12:00 noon, April 18, Student Name (print):

MATH4143: Scientific Computations for Finance Applications Final exam Time: 9:00 am - 12:00 noon, April 18, Student Name (print): MATH4143 Page 1 of 17 Winter 2007 MATH4143: Scientific Computations for Finance Applications Final exam Time: 9:00 am - 12:00 noon, April 18, 2007 Student Name (print): Student Signature: Student ID: Question

More information

Ind AS 102 Share-based Payments

Ind AS 102 Share-based Payments Ind AS 102 Share-based Payments Mayur Ankolekar FIAI, FIA, FCA Consulting Actuary MCACPESC June 26, 2015 Page 1 Session Objectives 1. To appreciate in principle, Ind AS 102 2. To understand the implementation

More information

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

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

More information

FUNDAMENTALS OF FUTURES AND OPTIONS MARKETS

FUNDAMENTALS OF FUTURES AND OPTIONS MARKETS SEVENTH EDITION FUNDAMENTALS OF FUTURES AND OPTIONS MARKETS GLOBAL EDITION John C. Hull / Maple Financial Group Professor of Derivatives and Risk Management Joseph L. Rotman School of Management University

More information

FNCE 302, Investments H Guy Williams, 2008

FNCE 302, Investments H Guy Williams, 2008 Sources http://finance.bi.no/~bernt/gcc_prog/recipes/recipes/node7.html It's all Greek to me, Chris McMahon Futures; Jun 2007; 36, 7 http://www.quantnotes.com Put Call Parity THIS IS THE CALL-PUT PARITY

More information

Risk Management Using Derivatives Securities

Risk Management Using Derivatives Securities Risk Management Using Derivatives Securities 1 Definition of Derivatives A derivative is a financial instrument whose value is derived from the price of a more basic asset called the underlying asset.

More information

Interest Rate Risk. Chapter 4. Risk Management and Financial Institutions, Chapter 4, Copyright John C. Hull

Interest Rate Risk. Chapter 4. Risk Management and Financial Institutions, Chapter 4, Copyright John C. Hull Interest Rate Risk Chapter 4 Risk Management and Financial Institutions, Chapter 4, Copyright John C. Hull 2006 4.1 Measuring Interest Rates The compounding frequency used for an interest rate is the unit

More information

Pricing Barrier Options under Local Volatility

Pricing Barrier Options under Local Volatility Abstract Pricing Barrier Options under Local Volatility Artur Sepp Mail: artursepp@hotmail.com, Web: www.hot.ee/seppar 16 November 2002 We study pricing under the local volatility. Our research is mainly

More information

Volatility Smiles and Yield Frowns

Volatility Smiles and Yield Frowns Volatility Smiles and Yield Frowns Peter Carr NYU IFS, Chengdu, China, July 30, 2018 Peter Carr (NYU) Volatility Smiles and Yield Frowns 7/30/2018 1 / 35 Interest Rates and Volatility Practitioners and

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

IEOR E4602: Quantitative Risk Management

IEOR E4602: Quantitative Risk Management IEOR E4602: Quantitative Risk Management Basic Concepts and Techniques of Risk Management Martin Haugh Department of Industrial Engineering and Operations Research Columbia University Email: martin.b.haugh@gmail.com

More information

Actuarial Models : Financial Economics

Actuarial Models : Financial Economics ` Actuarial Models : Financial Economics An Introductory Guide for Actuaries and other Business Professionals First Edition BPP Professional Education Phoenix, AZ Copyright 2010 by BPP Professional Education,

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

Manage Complex Option Portfolios: Simplifying Option Greeks Part II

Manage Complex Option Portfolios: Simplifying Option Greeks Part II Manage Complex Option Portfolios: Simplifying Option Greeks Part II Monday, 11 th September 7:30 PM IST 2:00 PM GMT 10:00 AM EST A Pioneer Algo Trading Training Institute Streamlined Investment Management

More information

Two Types of Options

Two Types of Options FIN 673 Binomial Option Pricing Professor Robert B.H. Hauswald Kogod School of Business, AU Two Types of Options An option gives the holder the right, but not the obligation, to buy or sell a given quantity

More information

Lecture 4: Barrier Options

Lecture 4: Barrier Options Lecture 4: Barrier Options Jim Gatheral, Merrill Lynch Case Studies in Financial Modelling Course Notes, Courant Institute of Mathematical Sciences, Fall Term, 2001 I am grateful to Peter Friz for carefully

More information

MATH6911: Numerical Methods in Finance. Final exam Time: 2:00pm - 5:00pm, April 11, Student Name (print): Student Signature: Student ID:

MATH6911: Numerical Methods in Finance. Final exam Time: 2:00pm - 5:00pm, April 11, Student Name (print): Student Signature: Student ID: MATH6911 Page 1 of 16 Winter 2007 MATH6911: Numerical Methods in Finance Final exam Time: 2:00pm - 5:00pm, April 11, 2007 Student Name (print): Student Signature: Student ID: Question Full Mark Mark 1

More information