Monte Carlo Methods In Financial Engineering

Monte Carlo Methods In Financial Engineering
Item# 11123140144
Retail price: US$74.95
Sale price: US$8.00

all items in this store are to be sent to your email within 24 hours after cleared payment. PDF eBooks are sent to you as email attachments. as for mp3 audiobook, a download link from ONEDRIVE will be sent to your email for you to download.

Please Read Before Your Purchase!!!

1. This item is an E-Book in PDF format.

2. Shipping & Delivery: Send to you by E-mail within 24 Hours after cleared payment. Immediately Arrival!!!

3. Shipping ( by email) + Handling Fee = US$0.00 ( Promotional Period)

4. Time-Limited Offer, Order Fast.

*************************************************************************





Monte Carlo Methods In Financial Engineering



Series: Stochastic Modelling and Applied Probability, Vol. 53 Glasserman, Paul

2003, XIV, 602 p. 70 illus.



Mathematics > Quantitative Finance





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."

Content Level » Research

Related subjects » Economic Theory - Operations Research & Decision Theory - Probability Theory and Stochastic Processes - Quantitative Finance - Statistical Theory and Methods