Chapter 7: Beyond Black-Scholes

Slides:



Advertisements
Similar presentations
Equity-to-Credit Problem Philippe Henrotte ITO 33 and HEC Paris Equity-to-Credit Arbitrage Gestion Alternative, Evry, April 2004.
Advertisements

Credit Risk in Derivative Pricing Frédéric Abergel Chair of Quantitative Finance École Centrale de Paris.
I.Generalities. Bruno Dupire 2 Market Skews Dominating fact since 1987 crash: strong negative skew on Equity Markets Not a general phenomenon Gold: FX:
Stochastic Volatility Modelling Bruno Dupire Nice 14/02/03.
Volatility Smiles Chapter 18 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull
Derivatives Inside Black Scholes
Chapter 27 Martingales and Measures
Chrif YOUSSFI Global Equity Linked Products
Options and Speculative Markets Inside Black Scholes Professor André Farber Solvay Business School Université Libre de Bruxelles.
Copyright © 2002 Pearson Education, Inc. Slide 9-1.
An Idiot’s Guide to Option Pricing
VIII: Options 26: Options Pricing. Chapter 26: Options Pricing © Oltheten & Waspi 2012 Options Pricing Models  Binomial Model  Black Scholes Options.
Diffusion Processes and Ito’s Lemma
JUMP DIFFUSION MODELS Karina Mignone Option Pricing under Jump Diffusion.
11.1 Options, Futures, and Other Derivatives, 4th Edition © 1999 by John C. Hull The Black-Scholes Model Chapter 11.
Are Options Mispriced? Greg Orosi. Outline Option Calibration: two methods Consistency Problem Two Empirical Observations Results.
Valuation and Risk Models By Shivgan Joshi
Pricing the Convexity Adjustment Eric Benhamou a Wiener Chaos approach.
Wiener Processes and Itô’s Lemma Chapter 12 1 Options, Futures, and Other Derivatives, 7th Edition, Copyright © John C. Hull 2008.
Chapter 13 Wiener Processes and Itô’s Lemma
Survey of Local Volatility Models Lunch at the lab Greg Orosi University of Calgary November 1, 2006.
10.1 Options, Futures, and Other Derivatives, 4th edition © 1999 by John C. Hull Model of the Behavior of Stock Prices Chapter 10.
Financial Markets Derivatives CFA FRM By Shivgan Joshi
Functional Ito Calculus and PDE for Path-Dependent Options Bruno Dupire Bloomberg L.P. PDE and Mathematical Finance KTH, Stockholm, August 19, 2009.
Lecture 1: Introduction to QF4102 Financial Modeling
Final Review. Basic Derivatives Options –Non-linear Payoffs Futures and Forward Contracts –Linear Payoffs.
Option Pricing Models: The Black-Scholes-Merton Model aka Black – Scholes Option Pricing Model (BSOPM)
Functional Itô Calculus and Volatility Risk Management
Functional Itô Calculus and PDEs for Path-Dependent Options Bruno Dupire Bloomberg L.P. Rutgers University Conference New Brunswick, December 4, 2009.
13.1 Valuing Stock Options : The Black-Scholes-Merton Model Chapter 13.
Chapter 23 Volatility. Copyright © 2006 Pearson Addison-Wesley. All rights reserved Introduction Implied volatility Volatility estimation Volatility.
Volatility Smiles and Option Pricing Models YONSEI UNIVERSITY YONSEI UNIVERSITY SCHOOL OF BUSINESS In Joon Kim.
Chapter 30 Interest Rate Derivatives: Model of the Short Rate
Introduction: Derivatives Options - a contract that gives buyer the right (not obligation) to purchase or sell something at a later time. Forward/Futures.
Chapter 14 The Black-Scholes-Merton Model
The Black-Scholes-Merton Model
The Greek Letters Chapter 15
Chapter 18 The Greek Letters
Futures Options and Black’s Model
Black-Scholes Model for European vanilla options
The Black-Scholes Model for Option Pricing
The Pricing of Stock Options Using Black-Scholes Chapter 12
Binomial Trees in Practice
Introduction to Binomial Trees
DERIVATIVES: Valuation Methods and Some Extra Stuff
Mathematical Finance An Introduction
The Black-Scholes-Merton Model
Chapter 15 The Black-Scholes-Merton Model
Contents Utility indifference pricing Dynamic programming
How Traders Manage Their Risks
Valuing Stock Options: The Black-Scholes-Merton Model
Chapter 17 Futures Options
How to Construct Swaption Volatility Surfaces
Binomial Trees in Practice
Mathematics, Pricing, Market Risk Management and Trading Strategies for Financial Derivatives: Foreign Exchange (FX) & Interest Rates (IR) CERN Academic.
Applied Finance Lectures
How to Construct Cap Volatility Surfaces
Investment Analysis and Portfolio Management
Chapter 28 Martingales and Measures
Generalities.
Lecture 11 Volatility expansion
Chapter 15 The Black-Scholes-Merton Model
Chp.9 Option Pricing When Underlying Stock Returns are Discontinuous
Numerical Methods in Finance
Valuing Stock Options:The Black-Scholes Model
Presentation transcript:

Chapter 7: Beyond Black-Scholes

Black-Scholes Model for vanilla options

Implied volatility and volatility smile

Continued

Improved models Local volatility model Stochastic volatility model Jump diffusion model Others: discrete hedging, transaction cost

Local volatility model

A special case: Identification of

How to use the local volatility model Calibration of the model: Identify the volatility function from the market prices of vanilla options Price non-traded contracts by using the model

Stochastic volatility model

Pricing model

Continued

The Market Price of Risk

Risk neutral processes

Derivatives on a single underlying variable

Pricing equation

Two Named Models Hull White Heston

Example 1: Hull-White model

Example 2: Heston Model

Jump-diffusion model Poisson process

Jump-diffusion Process

Hedging

Ito Lemma

Merton’s Model (1976) Jump risks are diversified

Summary: purpose Understand the market better Price options at the OCT market

Beyond the Black-Scholes World Local volatility model Stochastic volatility model Jump diffusion model

Parameters , J Local volatility model: =(S,t) Stochastic volatility model: Hull-White model (3 parameters) Heston model (2 parameters) Jump diffusion model , J