Pricing Formula for 3-Period Discrete Barrier Options



Similar documents
More Exotic Options. 1 Barrier Options. 2 Compound Options. 3 Gap Options

Valuation of Equity-Linked Insurance Products and Practical Issues in Equity Modeling. March 12, 2013

TABLE OF CONTENTS. A. Put-Call Parity 1 B. Comparing Options with Respect to Style, Maturity, and Strike 13

THE BLACK-SCHOLES MODEL AND EXTENSIONS

Numerical methods for American options

An Introduction to Exotic Options

Studies of Barrier Options and their Sensitivities

Finite Differences Schemes for Pricing of European and American Options

where N is the standard normal distribution function,

Pricing European Barrier Options with Partial Differential Equations

A SNOWBALL CURRENCY OPTION

Sensitivity Analysis of Options. c 2008 Prof. Yuh-Dauh Lyuu, National Taiwan University Page 264

Pricing Formulae for Foreign Exchange Options 1

Numerical Methods for Pricing Exotic Options

Barrier Options. 0.1 Introduction

Barrier Options. Peter Carr

ENGINEERING AND HEDGING OF CORRIDOR PRODUCTS - with focus on FX linked instruments -

Analytic Approximations for Multi-Asset Option Pricing

Jorge Cruz Lopez - Bus 316: Derivative Securities. Week 11. The Black-Scholes Model: Hull, Ch. 13.

Flexible Call Option Contract on the It Now IGCT Index Fund (GOVE11)

The Black-Scholes Formula

Mathematical Finance

Data Mining: Algorithms and Applications Matrix Math Review

On Black-Scholes Equation, Black- Scholes Formula and Binary Option Price

S 1 S 2. Options and Other Derivatives

Vanna-Volga Method for Foreign Exchange Implied Volatility Smile. Copyright Changwei Xiong January last update: Nov 27, 2013

Exam MFE/Exam 3F Review

Inner Product Spaces

The Black-Scholes pricing formulas

第 9 讲 : 股 票 期 权 定 价 : B-S 模 型 Valuing Stock Options: The Black-Scholes Model

Flexible Put Option on ishares Ibovespa Index Fund (BOVA11) Specifications

Options/1. Prof. Ian Giddy

Lecture 8: Signal Detection and Noise Assumption

Monte Carlo Methods in Finance

1 The Black-Scholes Formula

Lecture 4: The Black-Scholes model

Notes on Elastic and Inelastic Collisions

Forward Price. The payoff of a forward contract at maturity is S T X. Forward contracts do not involve any initial cash flow.

Accurate Approximation Formulae for Evaluating Barrier Stock Options with Discrete Dividends and the Application in Credit Risk Valuation

Monte Carlo simulation techniques

Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem

Market s gamma hedging absorption capability for barrier options

Two-State Option Pricing

Pricing of a worst of option using a Copula method M AXIME MALGRAT

Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model

Linear Algebra Review. Vectors

Chapter 14 Review Note Sample Excerpt

Black-Scholes and the Volatility Surface

LINES AND PLANES CHRIS JOHNSON

Torgerson s Classical MDS derivation: 1: Determining Coordinates from Euclidean Distances

Continued Fractions and the Euclidean Algorithm

User Guide Thank you for purchasing the DX90

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

Hedging Complex Barrier Options

CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION

A Linear Time Algorithm for Pricing European Sequential Barrier Options

Chapter 13 The Black-Scholes-Merton Model

Math Common Core Sampler Test

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include

Inner products on R n, and more

LECTURE 15: AMERICAN OPTIONS

We shall turn our attention to solving linear systems of equations. Ax = b

Multilevel Monte Carlo Simulation for Options Pricing Pei Yuen Lee MSc Computing and Management Session 2010/2011

Master s Theory Exam Spring 2006

Pricing and calibration in local volatility models via fast quantization

Linear Threshold Units

Numerical Analysis Lecture Notes

Exam MFE Spring 2007 FINAL ANSWER KEY 1 B 2 A 3 C 4 E 5 D 6 C 7 E 8 C 9 A 10 B 11 D 12 A 13 E 14 E 15 C 16 D 17 B 18 A 19 D

α = u v. In other words, Orthogonal Projection

Dot product and vector projections (Sect. 12.3) There are two main ways to introduce the dot product

Option Portfolio Modeling

Probability and Statistics Prof. Dr. Somesh Kumar Department of Mathematics Indian Institute of Technology, Kharagpur

Numerical PDE methods for exotic options

3.1 Least squares in matrix form

Partial Fractions Examples

Pricing Discrete Barrier Options

Pricing of an Exotic Forward Contract

Internet Appendix to CAPM for estimating cost of equity capital: Interpreting the empirical evidence

Derivation and Comparative Statics of the Black-Scholes Call and Put Option Pricing Formulas

m i: is the mass of each particle

Option Valuation. Chapter 21

Foreign Exchange Symmetries

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

Closed form spread option valuation

Pricing Barrier Options under Local Volatility

Similarity and Diagonalization. Similar Matrices

Martingale Pricing Applied to Options, Forwards and Futures

Definition of derivative

Transformations and Expectations of random variables

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver

Hedging Illiquid FX Options: An Empirical Analysis of Alternative Hedging Strategies

Diusion processes. Olivier Scaillet. University of Geneva and Swiss Finance Institute

3. INNER PRODUCT SPACES

Stephane Crepey. Financial Modeling. A Backward Stochastic Differential Equations Perspective. 4y Springer

r (t) = 2r(t) + sin t θ (t) = r(t) θ(t) + 1 = 1 1 θ(t) Write the given system in matrix form x = Ax + f ( ) sin(t) x y z = dy cos(t)

General Framework for an Iterative Solution of Ax b. Jacobi s Method

A Comparison of Option Pricing Models

Simulating Stochastic Differential Equations

Section 6.1 Factoring Expressions

American Capped Call Options on Dividend-Paying Assets

Transcription:

Pricing Formula for 3-Period Discrete Barrier Options Chun-Yuan Chiu Down-and-Out Call Options We first give the pricing formula as an integral and then simplify the integral to obtain a formula similar to the Black-Scholes formula he Integral Given the geometric Brownian motion S t = K r S > K +W > K K S 0 r W > S t > H H S 0 r W > S t > H H S 0 r W t > S > H H S 0 r W > H H r t+w t rewrite the important events: t K H H he fair value of a down-and-out barrier call option: B = e r E S + {St >H & S t >H & S >H} = e r r E +W {W >K & W >H & W t >H & W > } = e r r +z nx y z dxdydz where nx y z is the joint density function of W W t W a normal random vector with mean 0 0 0 and covariance matrix t t t t o Simplify In the following argument we assume K > H or equivalently K > If this is not the case by replacing all K by the argument still works fine First normalize the normal random vector Plug in x = x y = y z = z t t

to Eq to get B = e r K = e r K H t H t Ke r K H t H t H t r r + z nx y z dx dy dz + z nx y z dx dy dz nx y z dx dy dz 3 H t Now n refers to the normal joint density function n x = Σ π 3 e x Σ x with covariance matrix Σ = t t t t t t Denote by Nx y z; 3 3 the standard trivariate normal distribution function Eq 3 is clearly Ke r N H H K t t ; t t t t As for Eq we need the following lemma Lemma Completing the Square in Matrix Form If A is symmetric and invertible then x A x + b x = x + A b A x + A b 4 b A b Proof : Expand x µ A x µ + c and compare to x Ax + b x hus Eq is = K K H t H t H t e z nx y z dx dy dz Σ π 3 e x Σ x z dx dy dz 4 H t where x Σ x z can be simplified by the above lemma as follows: x = x 0 y A = Σ b = 0 z A b = t 4 b A b = b A b = x Σ x z = x A x + b x = x + A b A x + A b 4 b A b = x y t z x Σ y t z

Plug this into Eq 4 to get K H t Σ π 3 e x Σ x z dx dy dz H t where = S 0 K H t t H t nx y z dx dy dz x x y = y t z z and n stands for the joint density function of x y and z Finally we simplify Eq as S 0 N H + H + t K + t t ; t t t t Note that H = H S 0 H = H S 0 = H S 0 K = K S 0 r r r r t H t = H t = = H K + r r t K = r r t H t + = H t + t = + = + = K + r+ t r+ r+ r+ t t Put everything together to get B = S 0 N r + Ke r H N + r Up-and-Out Put Options r + t t r t t K r + K t t t t ; r t t ; t t 5 In a similar manner we first list the pricing formulae in integral form for all knock-out type options in the following table Option ype Important Events Value in Integral Form r +z nx y z dxdydz r +z Down-and-Out Call S > K S t > H S t > H S > H e r K H H Down-and-Out Put S < K S t > H S t > H S > H e r K H H Up-and-Out Call S > K S t < H S t < H S < H e r K H H Up-and-Out Put S < K S t < H S t < H S < H e r H H K r K nx y z dxdydz +z r nx y z dxdydz +z nx y z dxdydz {K>H} {H>K} 3

Simplify the last integral to get the pricing formula for an up-and-out put H S 0 N + r + r + t K r + t ; +Ke r H N + r r t K r t 3 Down-and-Out Put Options he value of a down-and-out put is zero if K H If K > H our goal is to simplify the integral e r H H K For the first term note tha r e r = e r +z nx y z dxdydz = e r H H K e r H H H H H H K r r r H H +z nx y z dxdydz +z nx y z dxdydz t t t t H3 +z nx y z dxdydz t t ; t t H H 6 7 where the first term of the RHS happens to be a down-and-out call For the second term we also use the identity H3 e r r K +z nx y z dxdydz = e r e r H H H H r r +z nx y z dxdydz +z nx y z dxdydz Subtracting the above two identities the integral that we want to simplify in Eq 7 is e r = e r H H H H K H3 = Down-and-Out Call e r r +z nx y z dxdydz H H H H r +z nx y z dxdydz where the last term of the RHS is also similar to a down-and-out call see Eq and hence has a simplified formula similar to Eq 5 hus Eq 7 can be written as Down-and-Out Call S 0 N r + r + t r + t t t ; t t e r H N + r r t r t t t ; t t his identity is similar to the derivation of the put-call parity 4

4 Up-and-Out Call Options he idea is very similar to the above section If H K the option value is zero Otherwise we use the decomposition e r H3 K = e r H3 = e r H3 H H H H H H r H r +z nx y z dxdydz H +z nx y z dxdydz + Up-and-Out Put where the first term of the RHS is also similar to an up-and-out put and has a simplified formula like Eq 6 hus the pricing formula for an up-and-out call option is H Up-and-Out Put S 0 N + r + r + t r + t t t ; t t + Ke r H N + r r t r t t t ; t t 5 Knock-In Options As an example assume we are to derive a down-and-in call he event we need is actually not S > K S t < H S t < H S < H but S > K S t < H S t < H S < H So the value in integral form is not just a single one term like e r H3 K H H r +z nx y z dxdydz If we write down the fair price as an integral there will be 7= 3 terms much more complicated than knockout type options In this situation pricing by first deriving the integral is no longer effective One way to derivative down-and-in options is through the in-out parity down-and-in call + down-and-out call = Black-Scholes call; down-and-in put + down-and-out put = Black-Scholes put; up-and-in call + up-and-out call = Black-Scholes call; up-and-in put + up-and-out put = Black-Scholes put 5