point

 

 Remember me

Register  |   Lost password?


Sign up here to let us know if you are interested in joining us for our Introduction to QuantLib Course later in the year.

 

A Workout in Computational Finance, (with Website)

Description:

Andreas Binder, Michael Aichinger
ISBN: 978-1-119-97191-7
Hardcover
336 pages
August 2013
A comprehensive introduction to various numerical methods used in computational finance today

 

Quantitative skills are a prerequisite for anyone working in finance or beginning a career in the field, as well as risk managers. A thorough grounding in numerical methods is necessary, as is the ability to assess their quality, advantages, and limitations. This book offers a thorough introduction to each method, revealing the numerical traps that practitioners frequently fall into. Each method is referenced with practical, real-world examples in the areas of valuation, risk analysis, and calibration of specific financial instruments and models. It features a strong emphasis on robust schemes for the numerical treatment of problems within computational finance. Methods covered include PDE/PIDE using finite differences or finite elements, fast and stable solvers for sparse grid systems, stabilization and regularization techniques for inverse problems resulting from the calibration of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global optimization tools to solve the minimization problem.

Brief description: A comprehensive introduction to various numerical methods used in computational finance today

Tags: , ,

Website: http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1119971918.html

There are no available polls yet
There are no available pages yet
There are no available bookmarks yet
There are no avaiable events yet
No topics have been created.
There are no available blog posts yet
There is no available media yet