Introducing financial mathematics: theory, binomial models, and applications
Wickerhauser, Mladen Victor
Introducing financial mathematics: theory, binomial models, and applications - New York CRC Press 2023 - x, 292 p.
Basics
Continuous Models
Discrete Models
Exotic Options
Forwards and Futures
Dividends and Interest
Implied Volatility
Fundamental Theorems
Project Suggestions
Answers and Index
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.
9781032359854
Business mathematics
Financial derivatives
Portfolio management
Derivatives modeling
519 / WIC
Introducing financial mathematics: theory, binomial models, and applications - New York CRC Press 2023 - x, 292 p.
Basics
Continuous Models
Discrete Models
Exotic Options
Forwards and Futures
Dividends and Interest
Implied Volatility
Fundamental Theorems
Project Suggestions
Answers and Index
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.
9781032359854
Business mathematics
Financial derivatives
Portfolio management
Derivatives modeling
519 / WIC