Elementary Stochastic Calculus, with Finance in View

Elementary Stochastic Calculus, with Finance in View

Hardback Advanced Series on Statistical Science and Applied Probability

By (author) Thomas Mikosch

$54.06

Free delivery worldwide
Available
Dispatched in 2 business days
When will my order arrive?

  • Publisher: World Scientific Publishing Co Pte Ltd
  • Format: Hardback | 224 pages
  • Dimensions: 157mm x 218mm x 13mm | 476g
  • Publication date: 1 January 1999
  • Publication City/Country: Singapore
  • ISBN 10: 9810235437
  • ISBN 13: 9789810235437
  • Sales rank: 340,287

Product description

Modelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory. This text should be suitable for the reader without a deep mathematical background. It seeks to provide an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black-Scholes option pricing formula is derived.

Other people who viewed this bought:

Showing items 1 to 10 of 10

Other books in this category

Showing items 1 to 10 of 10
Categories:

Review quote

"This book under review can be determined as a very successful work ... the author's choice of the material is done with good taste and expertise ... It can be strongly recommended to graduate students and practitioners in the field of finance and economics." Mathematics Abstracts, 2000 "... this is a well-written book, which makes the difficult object of mathematical finance easy to understand also for non-mathematicians. It might be useful for economics students and all practitioners in the field of finance who are interested in the mathematical methodology behind the Black-Scholes model." Statistical Papers, 2000

Table of contents

Preliminaries - basic concepts from probability theory; stochastic processes; Brownian motion; conditional expectation; Martingales; the stochastic integral - the Riemann and Riemann-Stieltjes; integrals; the Ito integral; the Ito lemma; the Stratonovich and other integrals; stochastic differential equations - deterministic differential equations; Ito stochastic differential equations; the general linear differential equation; numerical solution; applications of stochastic calculus in finance - the Black-Scholes option-pricing formula; a useful technique - change of measure. Appendices: modes of convergence; inequalities; non-differentiability and unbounded variation of Brownian sample paths; proof of the existence of the general Ito stochastic integral; the Radon-Nikodym theorem; proof of the existence and uniqueness of the conditional expectation.