Computational and numerical methods are used in a number of ways across the field of finance. It is the aim of this book to explain how such methods work in financial engineering. By concentrating on the field of option pricing, a core task of financial engineering and risk analysis, this book explores a wide range of computational tools in a coherent and focused manner and will be of use to anyone working in computational finance. Starting with an introductory chapter that presents the financial and stochastic background, the book goes on to detail computational methods using both stochastic and deterministic approaches.
Now in its sixth edition, Tools for Computational Finance has been significantly revised and contains:
Written from the perspective of an applied mathematician, all methods are introduced for immediate and straightforward application. A ‘learning by calculating’ approach is adopted throughout this book, enabling readers to explore several areas of the financial world.
Interdisciplinary in nature, this book will appeal to advanced undergraduate and graduate students in mathematics, engineering, and other scientific disciplines as well as professionals in financial engineering.
Provides a broad understanding of practical techniques and algorithms
Ventures deep into the subject area while assuming only minimal background knowledge
Includes many exercises and numerous illustrations
Rüdiger U. Seydel
computational finance pricing of options option pricing financial engineering algorithms for finance random number generation Monte Carlo simulation risk analysis Black-Scholes equations finite-difference methods finite-element methods MSC 91-01 91-08 91G20 91G60 65-01 quantitative finance