Mathematical Techniques in Finance : Tools for Incomplete Markets.

Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully c...

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Bibliographic Details
Main Author: Černý, Aleš, 1971-
Format: eBook
Language:English
Published: Princeton : Princeton University Press, 2009.
Subjects:
Online Access:Click for online access

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245 1 0 |a Mathematical Techniques in Finance :  |b Tools for Incomplete Markets. 
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505 0 |a Preliminaries; Contents; Preface to the Second Edition; From the Preface to the First Edition; 1 The Simplest Model of Financial Markets; 2 Arbitrage and Pricing in the One Period Model; 3 Risk and Return in the One-Period Model; 4 Numerical Techniques for Optimal Portfolio Selection in Incomplete Markets; 5 Pricing in Dynamically Complete Markets; 6 Towards Continuous Time; 7 Fast Fourier Transform; 8 Information Management; 9 Martingales and Change of Measure in Finance; 10 Brownian Motion and It o Formulae; 11 Continuous Time Finance; 12 Finite Difference Methods. 
505 8 |a 13 Dynamic Option Hedging and Pricing in Incomplete MarketsAppendix A Calculus; Appendix B Probability; References; Index. 
520 |a Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and mathematics, and provides plenty of opportunities for students to practice applied mathematics and cutting-edge finance. Ales Cern mixes tools from calculus, linear algebra, probability theory, numerical mathemat. 
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650 7 |a Risk management  |x Mathematical models  |2 fast 
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