Monte Carlo Frameworks – Building Customisable High–Performance C++ Applications
John Wiley & Sons Inc (Hersteller)
978-0-470-68516-7 (ISBN)
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Includes a CD containing the source code for all examples. It is strongly advised that you experiment with the code by compiling it and extending it to suit your needs. Support is offered via a user forum on www.datasimfinancial.com where you can post queries and communicate with other purchasers of the book.
This book is for those professionals who design and develop models in computational finance. This book assumes that you have a working knowledge of C ++.
DANIEL J. DUFFY has been working with numerical methods in finance, industry and engineering since 1979. He has written four books on financial models and numerical methods and C++ for computational finance and he has also developed a number of new schemes for this field. He is the founder of Datasim Education and has a PhD in Numerical Analysis from Trinity College, Dublin. JOERG KIENITZ is the head of Quantitative Analysis at Deutsche Postbank AG. He is primarily involved in the developing and implementation of models for pricing of complex derivatives structures and for asset allocation. He is also lecturing at university level on advanced financial modelling and gives courses on 'Applications of Monte Carlo Methods in Finance' and on other financial topics including Levy processes and interest rate models. Joerg holds a Ph.D. in stochastic analysis and probability theory.
Erscheint lt. Verlag | 26.10.2015 |
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Verlagsort | New York |
Sprache | englisch |
Maße | 175 x 255 mm |
Gewicht | 1452 g |
Themenwelt | Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung |
ISBN-10 | 0-470-68516-6 / 0470685166 |
ISBN-13 | 978-0-470-68516-7 / 9780470685167 |
Zustand | Neuware |
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