Computational Methods for Quantitative Finance is popular PDF and ePub book, written by Norbert Hilber in 2013-02-15, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Computational Methods for Quantitative Finance can be Read Online from any device for your convenience.
Computational Methods for Quantitative Finance Book PDF Summary
Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of stochastic market models with jumps, including, in particular, all currently used Lévy and stochastic volatility models. It allows us e.g. to quantify model risk in computed prices on plain vanilla, as well as on various types of exotic contracts. The algorithms are developed in classical Black-Scholes markets, and then extended to market models based on multiscale stochastic volatility, to Lévy, additive and certain classes of Feller processes. This book is intended for graduate students and researchers, as well as for practitioners in the fields of quantitative finance and applied and computational mathematics with a solid background in mathematics, statistics or economics.
Detail Book of Computational Methods for Quantitative Finance PDF
- Author : Norbert Hilber
- Release : 15 February 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783642354014
- Genre : Mathematics
- Total Page : 301 pages
- Language : English
- PDF File Size : 10,7 Mb
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