Download Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series) By Joerg Kienitz, Daniel Wetterau
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Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series) By Joerg Kienitz, Daniel Wetterau
Download Financial Modelling: Theory, Implementation and Practice with MATLAB Source (The Wiley Finance Series) By Joerg Kienitz, Daniel Wetterau
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- Sales Rank: #1223496 in Books
- Published on: 2013-02-18
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.80" w x 7.00" l, 3.02 pounds
- Binding: Hardcover
- 734 pages
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
About the Author
Jörg Kienitz is head of Quantitative Analytics at Deutsche Postbank AG. He is primarily involved in developing and implementing models for pricing complex derivatives structures and for asset allocation. He also lectures at university level on advanced financial modelling and implementation including the University of Oxford’s part-time Masters of Finance course. Jörg works as an independent consultant for model development and validation as well as giving seminars for finance professionals. He is a speaker at the major financial conferences including Global Derivatives, WBS Fixed Income or RISK. Jörg is the member of the editorial board of International Review of Applied Financial Issues and Economics and holds a Ph.D. in stochastic analysis from the University of Bielefeld.
Daniel Wetterau is senior specialist in the Quantitative Analytics team of Deutsche Postbank AG. He is responsible for the implementation of term structure models, advanced numerical methods, optimization algorithms and methods for advanced quantitative asset allocation. Further to his work he teaches finance courses for market professionals. Daniel received a Masters in financial mathematics from the University of Wuppertal and was awarded the Barmenia mathematics award for his thesis.
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