Change of Time Method: Application to Mathematical Finance. I. Anatoliy Swishchuk Math & Comp Finance Lab Dept of Math & Stat, U of C ‘Lunch at the Lab’

Slides:



Advertisements
Similar presentations
Classroom Bill of Rights
Advertisements

Explicit Option Pricing Formula for Mean-Reverting Asset Anatoliy Swishchuk Math & Comp Finance Lab Dept of Math & Stat, U of C MITACS Project Meeting.
Change of Time Method in Mathematical Finance Anatoliy Swishchuk Mathematical & Computational Finance Lab Department of Mathematics & Statistics University.
Mean-Reverting Models in Financial and Energy Markets Anatoliy Swishchuk Mathematical and Computational Finance Laboratory, Department of Mathematics and.
Mean-Reverting Models in Financial and Energy Markets Anatoliy Swishchuk Mathematical and Computational Finance Laboratory, Department of Mathematics and.
Change of Time Method in Mathematical Finance Anatoliy Swishchuk Mathematical & Computational Finance Lab Department of Mathematics & Statistics University.
Stability of Financial Models Anatoliy Swishchuk Mathematical and Computational Finance Laboratory Department of Mathematics and Statistics University.
Change of Time Method: Applications to Mathematical Finance. II. Anatoliy Swishchuk Math & Comp Finance Lab Dept of Math & Stat, U of C “Lunch at the Lab”
Modeling of Variance and Volatility Swaps for Financial Markets with Stochastic Volatility Anatoliy Swishchuk Department of Mathematics & Statistics, York.
Girsanov’s Theorem: From Game Theory to Finance Anatoliy Swishchuk Math & Comp Finance Lab Dept of Math & Stat, U of C “Lunch at the Lab” Talk December.
Paper Review: “On the Pricing and Hedging of Volatility Derivatives” by S. Howison, A. Rafailidis and H. Rasmussen (Applied Mathematical Finance J., 2004)
Black-Scholes Equation April 15, Contents Options Black Scholes PDE Solution Method.
Paper Review:"New Insight into Smile, Mispricing, and Value at Risk: The Hyperbolic Model" by E. Eberlein, U. Keller and K. Prause (1998). Anatoliy Swishchuk.
Derivation of Black - Scholes Formula by Change of Time Method Anatoliy Swishchuk Mathematical and Computational Finance Laboratory, Department of Mathematics.
Mathematics in Finance Binomial model of options pricing.
Financial Markets with Stochastic Volatilities Anatoliy Swishchuk Mathematical and Computational Finance Lab Department of Mathematics & Statistics University.
Numerical Methods for Option Pricing
Modelling and Pricing of Variance Swaps for Stochastic Volatility with Delay Anatoliy Swishchuk Mathematical and Computational Finance Laboratory Department.
Paper Review: “Parameter Estimation in a Stochastic Drift Hidden Markov Model with a Cap” by J. Hernandez, D. Saunders & L. Seco Anatoliy Swishchuk Math.
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=
5.2Risk-Neutral Measure Part 2 報告者:陳政岳 Stock Under the Risk-Neutral Measure is a Brownian motion on a probability space, and is a filtration for.
5.1 Option pricing: pre-analytics Lecture Notation c : European call option price p :European put option price S 0 :Stock price today X :Strike.
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=

Options and Bubble Written by Steven L. Heston Mark Loewenstein Gregory A. Willard Present by Feifei Yao.
9.4 Forward Measure Forward Price Zero-Coupon Bond as Numeraire Theorem
Derivatives Introduction to option pricing André Farber Solvay Business School University of Brussels.
Hedge with an Edge An Introduction to the Mathematics of Finance Riaz Ahmed & Adnan Khan Lahore Uviersity of Management Sciences Monte Carlo Methods.
JUMP DIFFUSION MODELS Karina Mignone Option Pricing under Jump Diffusion.
Valuing Stock Options:The Black-Scholes Model
11.1 Options, Futures, and Other Derivatives, 4th Edition © 1999 by John C. Hull The Black-Scholes Model Chapter 11.
第四章 Brown运动和Ito公式.
Simulating the value of Asian Options Vladimir Kozak.
Book Review: ‘Energy Derivatives: Pricing and Risk Management’ by Clewlow and Strickland, 2000 Chapter 3: Volatility Estimation in Energy Markets Anatoliy.
Black Scholes Option Pricing Model Finance (Derivative Securities) 312 Tuesday, 10 October 2006 Readings: Chapter 12.
1 Derivatives & Risk Management: Part II Models, valuation and risk management.
Valuing Stock Options: The Black- Scholes Model Chapter 11.
Book Review: ‘Energy Derivatives: Pricing and Risk Management’ by Clewlow and Strickland, 2000 Anatoliy Swishchuk Math & Comp Lab Dept of Math & Stat,
Notes 9.4 – Sequences and Series. I. Sequences A.) A progression of numbers in a pattern. 1.) FINITE – A set number of terms 2.) INFINITE – Continues.
Fundamentals of Futures and Options Markets, 7th Ed, Ch 13, Copyright © John C. Hull 2010 Valuing Stock Options: The Black-Scholes-Merton Model Chapter.
TheoryApplication Discrete Continuous - - Stochastic differential equations - - Ito’s formula - - Derivation of the Black-Scholes equation - - Markov processes.
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
6.4 Partial Differential Equation 指導老師:戴天時教授 學 生:王薇婷.
Fang-Bo Yeh, Dept. of Mathematics, Tunghai Univ.2004.Jun.29 1 Financial Derivatives The Mathematics Fang-Bo Yeh Mathematics Department System and Control.
Explicit Option Pricing Formula for A Mean-Reverting Asset Anatoliy Swishchuk “Lunch at the Lab” Talk March 10, 2005.
Monte-Carlo Simulations Seminar Project. Task  To Build an application in Excel/VBA to solve option prices.  Use a stochastic volatility in the model.
Valuing Stock Options:The Black-Scholes Model
An outline is useful to organize your information You put this information in categories You use various symbols to organize your information For main.
Book Review: Chapter 6 ’Spot Price Models and Pricing Standard Instruments’ Anatoliy Swishchuk Dept of Math & Stat, U of C ‘Lunch at the Lab’ Talk January.
1 Lec 13A: Black and Scholes OPM (Stock pays no dividends) (Hull,Ch 13) From Binomial model to Black-Scholes Suppose S 0 = 40, and r = 24%/yr (c.c.). Question:
ПОРТФОЛИО профессиональной деятельности Белово 2015 Таюшовой Натальи Борисовны Преподавателя дисциплин «Химия», «Биология»
Primbs, MS&E More Applications of Linear Pricing.
SECTION 5-5A Part I: Exponentials base other than e.
Anatoliy Swishchuk Mathematical and Computational Finance Laboratory
Chapter 7: Beyond Black-Scholes
FTCS Explicit Finite Difference Method for Evaluating European Options
Mathematical Finance An Introduction
Plenary: rules of indices
ОПШТИНА КУРШУМЛИЈА.
Monetary Bulletin 2009/4 Powerpoint charts.
الأَوزانُ Verb Forms Happy Land for Islamic Teachings.
Solving Equations 3x+7 –7 13 –7 =.
Monetary Bulletin 2009/2 Powerpoint charts.
Example Make x the subject of the formula
Numerical Methods in Finance
I  Linear and Logical Pulse II  Instruments Standard Ch 17 GK I  Linear and Logical Pulse II  Instruments Standard III  Application.
5.3 Martingale Representation Theorem
Presentation transcript:

Change of Time Method: Application to Mathematical Finance. I. Anatoliy Swishchuk Math & Comp Finance Lab Dept of Math & Stat, U of C ‘Lunch at the Lab’ Talk October 18, 2005

Outline Change of Time Method (CTM) for Martingale (Wiener Process) CTM in General Setting CTM for SDEs Geometrical Brownian Motion and CTM: Solution Black-Scholes Formula by CTM Cox-Ingersoll-Ross Process and CTM: Solution Variance and Volatility Swaps by CTM

CTM for Martingales

CTM in General Setting. I.

CTM in General Setting. II.

CTM for SDEs. I.

CTM for SDEs. II.

Idea of Proof. I.

Idea of Proof. II.

Geometric Brownian Motion

Change of Time Method for GBM

Solution for GBM Equation Using Change of Time

Properties of the Process

Properties of the Solution of GBM Using Change of Time Method

Option Pricing

European Call Option Pricing (Pay-Off Function)

European Call Option Pricing

Black-Scholes Formula

Stock Price under Risk-Neutral Measure

Explicit Expression for

European Call Option Through

Derivation of Black - Scholes Formula I

Derivation of Black-Scholes Formula II (continuation)

Derivation of Black - Scholes Formula III (continuation)

Derivation of Black - Scholes Formula IV (continuation)

Heston Model (Stochastic Volatility Model)

Explicit Solution for CIR Process: CTM

Proof. I.

Proof. II.

Properties of

Heston Model

Variance Swap for Heston Model. I.

Variance Swap for Heston Model. II.

Pricing of Variance Swap in Heston Model. I.

Pricing of Variance Swap in Heston Model. II.

Proof

Volatility Swap for Heston Model. I.

Volatility Swap for Heston Model. II.

Pricing of Volatility Swap for Heston Model. I.

Pricing of Volatility Swap for Heston Model. II.

Proof. I.

Proof. II.

Proof. III.

Proof. IV.

Proof. V.

References. I.

References. II.

References. III.

References. IV.

References. V.

References. VI.

References. VII.

References. VIII.

References. IX.

References. X. Elliott, R., Chan, L. and T. K. Siu (2005) “Pricing Volatility Swaps Under Heston's Volatility Model with Regime Switching ”

The End Thank you for your Attention!