Description

Book Synopsis
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.

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

Introducing Financial Mathematics

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    Order before 4pm tomorrow for delivery by Fri 26 Jun 2026.

    A Hardback by Mladen Victor Wickerhauser

    15 in stock


      View other formats and editions of Introducing Financial Mathematics by Mladen Victor Wickerhauser

      Publisher: Taylor & Francis Ltd
      Publication Date: 11/9/2022 12:00:00 AM
      ISBN13: 9781032359854, 978-1032359854
      ISBN10: 1032359854

      Description

      Book Synopsis
      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.

      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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