Implementing Derivatives Models

Implementing Derivatives Models
Author :
Publisher :
Total Pages : 350
Release :
ISBN-10 : STANFORD:36105025206165
ISBN-13 :
Rating : 4/5 (65 Downloads)

Book Synopsis Implementing Derivatives Models by : Les Clewlow

Download or read book Implementing Derivatives Models written by Les Clewlow and published by . This book was released on 1998 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Implementing Derivatives Models Related Books

Implementing Derivatives Models
Language: en
Pages: 350
Authors: Les Clewlow
Categories: Derivative securities
Type: BOOK - Published: 1998 - Publisher:

DOWNLOAD EBOOK

Implementing Models of Financial Derivatives
Language: en
Pages: 772
Authors: Nick Webber
Categories: Business & Economics
Type: BOOK - Published: 2011-09-07 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Implementing Models of Financial Derivatives is a comprehensive treatment of advanced implementation techniques in VBA for models of financial derivatives. Aime
Derivatives
Language: en
Pages: 252
Authors: Paul Wilmott
Categories: Business & Economics
Type: BOOK - Published: 1999-02-05 - Publisher: Wiley

DOWNLOAD EBOOK

Derivatives by Paul Wilmott provides the most comprehensive and accessible analysis of the art of science in financial modeling available. Wilmott explains and
Financial Derivatives Modeling
Language: en
Pages: 320
Authors: Christian Ekstrand
Categories: Business & Economics
Type: BOOK - Published: 2011-08-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book gives a comprehensive introduction to the modeling of financial derivatives, covering all major asset classes (equities, commodities, interest rates a
Implementing Models in Quantitative Finance: Methods and Cases
Language: en
Pages: 606
Authors: Gianluca Fusai
Categories: Business & Economics
Type: BOOK - Published: 2007-12-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book puts numerical methods in action for the purpose of solving practical problems in quantitative finance. The first part develops a toolkit in numerical