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Provides exercises at the end of each chapter that range from simple tasks to more challenging projects
Covers on an introductory level the very important issue of computational aspects of derivative pricing
People with a background of stochastics, numerics, and derivative pricing will gain an immediate profit
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 the entire field of computational finance. Starting with an introductory chapter that presents the financial and stochastic background, the remainder of the book goes on to detail computational methods using both stochastic and deterministic approaches.
Now in its fifth edition, Tools for Computational Finance has been significantly revised and contains:
A new chapter on incomplete markets, which links to new appendices on viscosity solutions and the Dupire equation;
Several new parts throughout the book such as that on the calculation of sensitivities (Sect. 3.7) and the introduction of penalty methods and their application to a two-factor model (Sect. 6.7)
Additional material in the field of analytical methods including Kim’s integral representation and its computation
Guidelines for comparing algorithms and judging their efficiency
An extended chapter on finite elements that now includes a discussion of two-asset options
Additional exercises, figures and references
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.
Content Level »Graduate
Keywords »Monte Carlo - computational finance - finite differences and elements - numerical methods in financial engineering - option pricing