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Brownian Motion Calculus
Taschenbuch von Ubbo F. Wiersema
Sprache: Englisch

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Brownian Motion Calculus

Ubbo Wiersema

Brownian Motion Calculus presents the basics of Stochastic Calculus with a focus on the valuation of financial derivatives. It is intended as an accessible introduction to the technical literature. The sequence of chapters starts with a description of Brownian motion, the random process which serves as the basic driver of the irregular behaviour of financial quantities. That exposition is based on the easily understood discrete random walk. Thereafter the gains from trading in a random environment are formulated in a discrete-time setting. The continuous-time equivalent requires a new concept, the ItM stochastic integral. Its construction is explained step by step, using the so-called norm of a random process (its magnitude), of which a motivated exposition is given in an Annex. The next topic is ItM's formula for evaluating stochastic integrals; it is the random process counter part of the well known Taylor formula for functions in ordinary calculus. Many examples are given. These ingredients are then used to formulate some well established models for the evolution of stock prices and interest rates, so-called stochastic differential equations, together with their solution methods. Once all that is in place, two methodologies for option valuation are presented. One uses the concept of a change of probability and the Girsanov transformation, which is at the core of financial mathematics. As this technique is often perceived as a magic trick, particular care has been taken to make the explanation elementary and to show numerous applications. The final chapter discusses how computations can be made more convenient by a suitable choice of the so-called numeraire. A clear distinction has been made between the mathematics that is convenient for a first introduction, and the more rigorous underpinnings which are best studied from the selected technical references. The inclusion of fully worked out exercises makes the book attractive for self study. Standard probability theory and ordinary calculus are the prerequisites. Summary slides for revision and teaching can be found on the book website [...]
Brownian Motion Calculus

Ubbo Wiersema

Brownian Motion Calculus presents the basics of Stochastic Calculus with a focus on the valuation of financial derivatives. It is intended as an accessible introduction to the technical literature. The sequence of chapters starts with a description of Brownian motion, the random process which serves as the basic driver of the irregular behaviour of financial quantities. That exposition is based on the easily understood discrete random walk. Thereafter the gains from trading in a random environment are formulated in a discrete-time setting. The continuous-time equivalent requires a new concept, the ItM stochastic integral. Its construction is explained step by step, using the so-called norm of a random process (its magnitude), of which a motivated exposition is given in an Annex. The next topic is ItM's formula for evaluating stochastic integrals; it is the random process counter part of the well known Taylor formula for functions in ordinary calculus. Many examples are given. These ingredients are then used to formulate some well established models for the evolution of stock prices and interest rates, so-called stochastic differential equations, together with their solution methods. Once all that is in place, two methodologies for option valuation are presented. One uses the concept of a change of probability and the Girsanov transformation, which is at the core of financial mathematics. As this technique is often perceived as a magic trick, particular care has been taken to make the explanation elementary and to show numerous applications. The final chapter discusses how computations can be made more convenient by a suitable choice of the so-called numeraire. A clear distinction has been made between the mathematics that is convenient for a first introduction, and the more rigorous underpinnings which are best studied from the selected technical references. The inclusion of fully worked out exercises makes the book attractive for self study. Standard probability theory and ordinary calculus are the prerequisites. Summary slides for revision and teaching can be found on the book website [...]
Über den Autor
UBBO WIERSEMA was educated in Applied Mathematics at Delft, in Operations Research at Berkeley, and in Financial Economics and Financial Mathematics at the London School of Economics. He joined The Business School for Financial Markets (the ICMA Centre) at the University of Reading, UK, in 1997, to develop and teach its curriculum in Quantitative Finance. Prior to that, he was a derivatives mathematician at the merchant bank Robert Fleming in the City of London. Before that his career was focused in Operations Research in the US and Europe.
Inhaltsverzeichnis
1. Brownian Motion

Origins

Notion of a Random Process

Brownian Motion

Stock Price Dynamics

Construction of Brownian Motion from a Discrete Symmetric Random Walk

Features of Brownian Motion Paths

Computations with Brownian motion

References

Examples

2. Martingales

Introduction

Filtration

Conditional Expectation

Martingale

Martingale examples

References

Examples

3. Ito Stochastic Integration

How a Stochastic integral arises in stock trading

Construction of Ito Stochastic integral for random step functions

Extension to general random integrands

Summary of properties of an Ito stochastic integral

Reference

Examples

4. Ito Calculus

Stochastic differential notation

Taylor's expansion in ordinary calculus

Ito's formula as a set of rules

Illustrations of Ito's formula

Justification of Ito's formula

References

Examples

5. Stochastic differential equations

Structure of a stochastic differental equation

Stocastic differntail equations arising in finance

Finding a closed form solution

Checking the solution of an sde

General method for solving sde's

References

Examples

6. Risk-neutral probability

Risk-neutral valuation - the basic concept

Risk-neutral probability construction in discrete one period binomial framework

Risk-neutral probability construction in the continuous framework

Girsanov's theorem

Radon-Nikodym derivative

Numerical Illustration

Motivation for Girsanov's theorem

Summary

References

7. Feynman-Kac Representation

Stochastic Representation

Derivation of simple Feynman-Kac formula

Application to Black Scholes pde

Generalisations

Solution by Simulation

References

Annexes

Computations with Brownian motion

Riemann Integration

Brownian Motion Variability

Norms

Einstrin's Model of Brownian Motion
Details
Erscheinungsjahr: 2008
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 336
Inhalt: 330 S.
ISBN-13: 9780470021705
ISBN-10: 0470021705
Sprache: Englisch
Herstellernummer: 14502170000
Einband: Kartoniert / Broschiert
Autor: Wiersema, Ubbo F.
Hersteller: John Wiley & Sons
John Wiley & Sons Inc
Maße: 229 x 152 x 18 mm
Von/Mit: Ubbo F. Wiersema
Erscheinungsdatum: 15.04.2008
Gewicht: 0,48 kg
preigu-id: 102300048
Über den Autor
UBBO WIERSEMA was educated in Applied Mathematics at Delft, in Operations Research at Berkeley, and in Financial Economics and Financial Mathematics at the London School of Economics. He joined The Business School for Financial Markets (the ICMA Centre) at the University of Reading, UK, in 1997, to develop and teach its curriculum in Quantitative Finance. Prior to that, he was a derivatives mathematician at the merchant bank Robert Fleming in the City of London. Before that his career was focused in Operations Research in the US and Europe.
Inhaltsverzeichnis
1. Brownian Motion

Origins

Notion of a Random Process

Brownian Motion

Stock Price Dynamics

Construction of Brownian Motion from a Discrete Symmetric Random Walk

Features of Brownian Motion Paths

Computations with Brownian motion

References

Examples

2. Martingales

Introduction

Filtration

Conditional Expectation

Martingale

Martingale examples

References

Examples

3. Ito Stochastic Integration

How a Stochastic integral arises in stock trading

Construction of Ito Stochastic integral for random step functions

Extension to general random integrands

Summary of properties of an Ito stochastic integral

Reference

Examples

4. Ito Calculus

Stochastic differential notation

Taylor's expansion in ordinary calculus

Ito's formula as a set of rules

Illustrations of Ito's formula

Justification of Ito's formula

References

Examples

5. Stochastic differential equations

Structure of a stochastic differental equation

Stocastic differntail equations arising in finance

Finding a closed form solution

Checking the solution of an sde

General method for solving sde's

References

Examples

6. Risk-neutral probability

Risk-neutral valuation - the basic concept

Risk-neutral probability construction in discrete one period binomial framework

Risk-neutral probability construction in the continuous framework

Girsanov's theorem

Radon-Nikodym derivative

Numerical Illustration

Motivation for Girsanov's theorem

Summary

References

7. Feynman-Kac Representation

Stochastic Representation

Derivation of simple Feynman-Kac formula

Application to Black Scholes pde

Generalisations

Solution by Simulation

References

Annexes

Computations with Brownian motion

Riemann Integration

Brownian Motion Variability

Norms

Einstrin's Model of Brownian Motion
Details
Erscheinungsjahr: 2008
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 336
Inhalt: 330 S.
ISBN-13: 9780470021705
ISBN-10: 0470021705
Sprache: Englisch
Herstellernummer: 14502170000
Einband: Kartoniert / Broschiert
Autor: Wiersema, Ubbo F.
Hersteller: John Wiley & Sons
John Wiley & Sons Inc
Maße: 229 x 152 x 18 mm
Von/Mit: Ubbo F. Wiersema
Erscheinungsdatum: 15.04.2008
Gewicht: 0,48 kg
preigu-id: 102300048
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