Mathematical Finance

Core Theory, Problems and Statistical Algorithms

By:

Nikolai Dokuchaev

Format:

Hardback

Series:

Routledge Advanced Texts in Economics and Finance

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Description

Written in a rigorous yet logical and easy to use style, spanning a range of disciplines, including business, mathematics, finance and economics, this comprehensive textbook offers a systematic, self-sufficient yet concise presentation of the main topics and related parts of stochastic analysis and statistical finance that are covered in the majority of university programmes. Providing all explanations of basic concepts and results with proofs and numerous examples and problems, it includes: an introduction to probability theory a detailed study of discrete and continuous time market models a comprehensive review of Ito calculus and statistical methods as a basis for statistical estimation of models for pricing a detailed discussion of options and their pricing, including American options in a continuous time setting. An excellent introduction to the topic, this textbook is an essential resource for all students on undergraduate and postgraduate courses and advanced degree programs in econometrics, finance, applied mathematics and mathematical modelling as well as academics and practitioners.

Author Biography:

Nikolai Dokuchaev is Associate Professor in the Department of Mathematics, Trent University, Ontario, Canada.

Release date NZ

February 1st, 2007

Author

Nikolai Dokuchaev

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational
Undergraduate

Illustrations

6 Line drawings, black and white; 6 Illustrations, black and white

Pages

196

Series

Routledge Advanced Texts in Economics and Finance

Dimensions

156x234x17

ISBN-13

9780415414470

Product ID

2102401

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