| 书目名称 | Monte Carlo Methods in Financial Engineering |
| 编辑 | Paul Glasserman |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Stochastic Modelling and Applied Probability |
| 图书封面 |  |
| 描述 | .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 |
| 出版日期 | Textbook 2003 |
| 关键词 | Analysis; Measure; Monte Carlo Simulation; Monte Carlo method; Random variable; Stochastic Differential E |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-21617-1 |
| isbn_softcover | 978-1-4419-1822-2 |
| isbn_ebook | 978-0-387-21617-1Series ISSN 0172-4568 Series E-ISSN 2197-439X |
| issn_series | 0172-4568 |
| copyright | Springer Science+Business Media New York 2003 |
发表于 2025-3-21 19:41:06
