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Introducing Financial Mathematics: Theory, Binomial Models, and Applications: Chapman and Hall/CRC Financial Mathematics Series

Autor Mladen Victor Wickerhauser
en Limba Engleză Hardback – 9 noi 2022
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.
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Specificații

ISBN-13: 9781032359854
ISBN-10: 1032359854
Pagini: 304
Ilustrații: 10 Tables, black and white; 6 Line drawings, color; 13 Line drawings, black and white; 19 Illustrations, black and white
Dimensiuni: 156 x 234 x 23 mm
Greutate: 1.02 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman and Hall/CRC Financial Mathematics Series


Public țintă

Undergraduate Advanced

Cuprins

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

Notă biografică

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.

Descriere

This book seeks to replace existing books with a more rigorous stand-alone text that covers fewer examples but with more proofs, and also provides example computer programs, mainly in Octave/MATLAB but also as spreadsheets and Macsyma scripts, with which students may experiment on real data.