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Mathematical Finance - Bachelier Congress 2000 Book

Mathematical Finance - Bachelier Congress 2000
Mathematical Finance - Bachelier Congress 2000, , Mathematical Finance - Bachelier Congress 2000 has a rating of 3 stars
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Mathematical Finance - Bachelier Congress 2000, , Mathematical Finance - Bachelier Congress 2000
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  • Mathematical Finance - Bachelier Congress 2000
  • Written by author Helyette Geman
  • Published by Springer-Verlag New York, LLC, October 2007
  • The Bachelier Society for Mathematical Finance, founded in 1996, held its 1st World Congress in Paris on June 28 to July 1, 2000, thus coinciding in time with the centenary of the thesis defence of Louis Bachelier. In his thesis Bachelier introduced Brown
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Authors

Bachelier and His Times: A Conversation with Bernard Bru1
Modern Finance Theory Within One Lifetime41
Future Possibilities in Finance Theory and Finance Practice47
Brownian Motion and the General Diffusion: Scale & Clock75
Rare Events, Large Deviations85
Conquering the Greeks in Monte Carlo: Efficient Calculation of the Market Sensitivities and Hedge-Ratios of Financial Assets by Direct Numerical Simulation93
On the Term Structure of Futures and Forward Prices111
Displaced and Mixture Diffusions for Analytically-Tractable Smile Models151
The Theory of Good-Deal Pricing in Financial Markets175
Spread Option Valuation and the Fast Fourier Transform203
The Law of Geometric Brownian Motion and its Integral, Revisited; Application to Conditional Moments221
The Generalized Hyperbolic Model: Financial Derivatives and Risk Measures245
Using the Hull and White Two-Factor Model in Bank Treasury Risk Management269
Default Risk and Hazard Process281
Utility-Based Derivative Pricing in Incomplete Markets313
Pricing Credit Derivatives in Credit Classes Frameworks339
An Autoregressive Conditional Binomial Option Pricing Model353
Markov Chains and the Potential Approach to Modelling Interest Rates and Exchange Rates375
Theory and Calibration of HJM with Shape Factors407
Optimal Investment in Incomplete Financial Markets427
Evaluating Investments in Disruptive Technologies463
Quickest Detection Problems in the Technical Analysis of the Financial Data487


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