Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.

This title is not currently available for purchase
Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series) by [Kienitz, Joerg, Wetterau, Daniel]
Kindle App Ad

Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series) 1st Edition, Kindle Edition

3.0 out of 5 stars 1 customer review

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition

Kindle Monthly Deal
Browse a new selection of discounted Kindle Books each month. Shop now

Product description

From the Inside Flap

"This book offers a comprehensive overview of the main derivative pricing models used in practice across various asset classes. Many numerical examples are provided, and precious implementation details are revealed to the financial community. If the devil is in the details, this is one hell of a book!"
Fabio Mercurio, Bloomberg

"This book is a dream come true, a must have, a must read and a must use. High–tech financial engineering and numerics are now becoming accessible to the broad quant community."
Wim Schoutens, Research Professor, University of Leuven

"This is a book I wish I′d owned ten years ago to prepare for the exotic derivatives models hype in equity and rates of the first decade. It saves identifying, finding, screening and reading dozens of papers and treats the full life cycle of the models from theory to implementation. The reader can get quickly familiar with the pre–LSV modelling age. With any luck, the Matlab code will also run on octave."
Uwe Wystup, Professor of Quantitative Finance/ Founder & CEO, MathFinance

"This book is a nice exposition for those Quants in Financial Engineering who are interested in an overview of modern pricing and calibration techniques in the field of Financial Derivatives. For those who have a strong mathematical background and are interested in implementation issues, this book is a severe choice."
Dr. Ingo Schneider, Financial Engineering, DekaBank

"This handbook is a compendium of useful formulae for computational finance. This and the fact that the authors provide full Matlab code in all cases makes this work unique. You can test the code as well as looking at the formulae! This book brings many results in one place. It saves much time. The book will certainly be useful as a reference for practitioners, developers and MFE students. In particular, I also see it as a handbook of algorithms that quants can use as input to their favourite production languages C++, C# and Java."
Daniel J. Duffy, Founder, Datasim

"In the application of mathematical finance the popularity of a model or theoretical result strongly depends on the ability to provide it with an efficient and robust implementation. Thus, a theory and modelling should naturally be combined with a discussion of its implementation. Being practitioners with a strong academic background, Kienitz and Wetterau provide this complete package in this excellent book; adding a lot of valuable insights."
Christian P. Fries, Head of Model Development, Group Risk Control, DZ BANK AG Frankfurt/Professor for Quantitative Finance, Department of Mathematics, LMU Munich

From the Back Cover

Financial modelling

Theory, Implementation and Practice with Matlab Source

Jörg Kienitz and Daniel Wetterau

Financial Modelling – Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi–) analytic and simulation techniques, and calibration even for exotic options.

The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic–local volatility models and (pure) jump processes. It shows the possible risk–neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates–Hull–White, Displaced–Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi–dimensional models. The stochastic–local–volatility Libor market model with time–dependent parameters is considered and as an application how to price and risk–manage CMS spread products is demonstrated.

The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr–Madan method or Fourier–Space–Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state–of–the–art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk.

The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object–oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor market model.

Source code used for producing the results and analysing the models is provided on the author′s dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981.

Product details

  • Format: Kindle Edition
  • File Size: 41234 KB
  • Print Length: 734 pages
  • Publisher: Wiley; 1 edition (18 Sept. 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B009F09IF4
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 3.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #1,147,454 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  • Would you like to tell us about a lower price?

Customer reviews

Share your thoughts with other customers
See all 1 customer reviews

Top customer reviews

16 August 2013
Format: Hardcover|Verified Purchase
0Comment| 3 people found this helpful. Was this review helpful to you? Report abuse

Most helpful customer reviews on Amazon.com

Amazon.com: 4.2 out of 5 stars 5 reviews
5.0 out of 5 starsExcellent Book for practitioners and researchers in the Financial Engineering industry.
22 April 2016 - Published on Amazon.com
Format: Hardcover|Verified Purchase
2 people found this helpful.
Mikhail Skugorev
5.0 out of 5 starsExcellent book
21 September 2017 - Published on Amazon.com
Format: Hardcover|Verified Purchase
Karl Marx
5.0 out of 5 starsGood book that details all the widely used models with ...
21 November 2015 - Published on Amazon.com
Format: Hardcover|Verified Purchase
One person found this helpful.
Mihwa Chung
5.0 out of 5 starsFive Stars
5 December 2014 - Published on Amazon.com
Format: Hardcover|Verified Purchase
One person found this helpful.
Juan Falcone
1.0 out of 5 starsPromising but broken
23 May 2013 - Published on Amazon.com
Format: Hardcover
6 people found this helpful.
click to open popover

Where's My Stuff?

Delivery and Returns

Need Help?