Descargar AudioLibro Monte Carlo Methods in Financial Engineering de Paul Glasserman

Descargar AudioLibro Monte Carlo Methods in Financial Engineering de Paul Glasserman año 2004

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  • Nombre del audiolibro: Monte Carlo Methods in Financial Engineering
  • Autor del audiolibroPaul Glasserman
  • Fecha de publicación: 11/2/2004
  • IdiomaInglés
  • Género o ColecciónEconomía
  • ISBN: 9780387004518
  • Valoración del audiolibro: 4.42 de un máximo de 5
  • Votos: 125
  • Autor(a) de la reseña: Cecundino Poblano
  • Valorado con una puntuación de 4.86 de un máximo de 5
  • Fecha: 29/9/2018
  • Duración: 7 horas con 24 minutos (298 MB)
  • Fecha creación del audiolibro: 03/07/2018
  • Puedes escuchar el audiolibro en estos formatos: MP3 - WAV - AC3 - MPEG4 - WMA - Musepack - FLAC (compresión CHM - RAR - ZIP - TBZ)
  • Incluye un resumen PDF de 67 páginas
  • Duración del resumen (audio): 51 minutos (33.5 MB)
  • Servidores habilitados: Google Drive - Torrent Project - MEGA - FileServe - Hotfile
  • Encuadernación del libro físico: Tapa Dura
  • Descripción o resumen: Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques. This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency.The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios. The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry. Mathematical Reviews, 2004 - '...this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context'.

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