Numerical methods in finance

Numerical Methods in Finance has emerged as a discipline at the intersection of probability theory, finance and numerical analysis. This book, based on lectures given at the Newton Institute as part of a broader programme, describes a wide variety of numerical methods used in financial analysis: com...

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Detalles Bibliográficos
Otros Autores: Rogers, L. C. G., editor (editor), Talay, D. (Denis), editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cambridge : Cambridge University Press 1997.
Colección:CUP ebooks.
Publications of the Newton Institute ; 13.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45427616*spi
Descripción
Sumario:Numerical Methods in Finance has emerged as a discipline at the intersection of probability theory, finance and numerical analysis. This book, based on lectures given at the Newton Institute as part of a broader programme, describes a wide variety of numerical methods used in financial analysis: computation of option prices, especially of American option prices, by finite difference and other methods; numerical solution of portfolio management strategies; statistical procedures; identification of models; Monte Carlo methods; and numerical implications of stochastic volatilities. Articles have been written in a pedagogic style and made reasonably self-contained, covering both mathematical matters and practical issues in numerical problems. Thus the book has something to offer economists, probabilists and applied mathematicians working in finance.
Descripción Física:1 recurso electrónico (x, 326 páginas)
Formato:Forma de acceso: World Wide Web.
ISBN:9781139173056