Introducing Financial Mathematics: Theory, Binomial Models, and Applications

Author:   Mladen Victor Wickerhauser
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032359854


Pages:   292
Publication Date:   09 November 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Introducing Financial Mathematics: Theory, Binomial Models, and Applications


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Overview

Introducing Financial Mathematics: Theory, Binomial Models, and Applications seeks to replace existing books with a rigorous stand-alone text that covers fewer examples in greater detail with more proofs. The book uses the fundamental theorem of asset pricing as an introduction to linear algebra and convex analysis. It also provides example computer programs, mainly Octave/MATLAB functions but also spreadsheets and Macsyma scripts, with which students may experiment on real data.The text's unique coverage is in its contemporary combination of discrete and continuous models to compute implied volatility and fit models to market data. The goal is to bridge the large gaps among nonmathematical finance texts, purely theoretical economics texts, and specific software-focused engineering texts.

Full Product Details

Author:   Mladen Victor Wickerhauser
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.562kg
ISBN:  

9781032359854


ISBN 10:   1032359854
Pages:   292
Publication Date:   09 November 2022
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface 1. Basics 2. Continuous Models 3. Discrete Models 4. Exotic Models 5. Forwards and Futures 6. Dividends and Interest 7. Implied Volatility 8. Fundamental Theorems Project Suggestions Answers and Index

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Author Information

Mladen Victor Wickerhauser is professor of mathematics and statistics at Washington University, St. Louis. He holds a PhD from Yale University. ​Professor Wickerhauser’s research interests include harmonic analysis, wavelets, and numerical algorithms for data compression. He has six US patents and 118 publications, one of which led to an algorithm used by the FBI to encode fingerprint images.

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