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020 _a9781447173373
040 _cIIT Kanpur
041 _aeng
082 _a332.015195
_bSe94t6
100 _aSeydel, Rudiger U.
245 _aTools for compuational finance [6th ed.]
_cRudiger U. Seydel
250 _a6th ed.
260 _bSpringer
_c2017
_aLondon
300 _axxii, 486p
440 _aUniversitext
490 _a/ edited by Sheldon Axler ...[et al.]
520 _a 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: Several new parts such as a section on extended applications of tree methods, including multidimensional trees, trinomial trees, and the handling of dividends; Additional material in the field of generating normal variates with acceptance-rejection methods, and on Monte Carlo methods; 115 exercises, and more than 100 figures, many in color. 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.
650 _aFinance -- Mathematical models
650 _aFinance
650 _aNumerical analysis
650 _aMathematics
942 _cBK
999 _c567321
_d567321