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Financial Modelling in Python
book

Financial Modelling in Python

by Shayne Fletcher, Christopher Gardner
August 2009
Intermediate to advanced
244 pages
9h 5m
English
Wiley
Content preview from Financial Modelling in Python
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bib JWBK378-Fletcher May 1, 2009 19:57 Printer: Yet to come
Bibliography
[1] Andrei Alexandrescu. Modern C++ design. Generic Programming and Design Patterns Applied.
Addison Wesley, 2001.
[2] Martin Baxter and Andrew Rennic. Financial Calculus. An Introduction to Derivative Pricing.
Cambridge University Press, 1998.
[3] Don Box. Essential COM. Addison Wesley, 1998.
[4] Daniel J Duffy. Finite Difference Methods in Financial Engineering. A Partial Differential Equation
Approach. John Wiley & Sons, Ltd, 2006.
[5] William H. Press, Brian P. Flannery, Saul A. Teukolsky and William T. Vetterling. Numerical
Recipes in C. The Art of Scientific Computing (Second Edition). Cambridge University Press, 1999.
[6] Christian P. Fries. Foresight bias and suboptimality correction in Monte-Carlo pricing of options
with early exercise: Classification, calculation & removal. SSRN, 2005.
[7] Christian P. Fries. Valuing American options by simulation: a simple least-squares approach. SSRN.
2007.
[8] Christian P. Fries and Mark S. Joshi. Partial proxy simulation schemes for generic and robust
Monte-Carlo greeks. SSRN, 2006.
[9] Paul Glasserman. Monte Carlo Methods in Financial Engineering. Springer, 2003.
[10] John C. Hull. Options, Futures, and Other Derivatives (Third Edition). Prentice Hall, 1997.
[11] Peter J
¨
ackel. Monte Carlo Methods in Finance. John Wiley & Sons, Ltd, 1999.
[12] Jaan Kiusalaas. Numerical
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Publisher Resources

ISBN: 9780470987841Purchase book