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C++ Primer (4th Edition)
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Stanley B. Lippman
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Effective C++: 55 Specific Ways to Improve Your Programs and Designs (3rd Edition)
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Scott Meyers
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C++ Common Knowledge: Essential Intermediate Programming
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Stephen C. Dewhurst
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Arbitrage Theory in Continuous Time (Oxford Finance Series)
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Tomas Bjork
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Financial Calculus : An Introduction to Derivative Pricing
by
Martin Baxter
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Stochastic Calculus for Finance II: Continuous-Time Models (Springer Finance) (v. 2)
by
Steven E. Shreve
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Options, Futures and Other Derivatives (6th Edition)
by
John C. Hull
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Tools for Computational Finance (Universitext)
by
Rüdiger U. Seydel
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Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability) (v. 53)
by
Paul Glasserman
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Monte Carlo Methods in Finance
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Peter Jaeckel
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An Introduction to Econophysics: Correlations and Complexity in Finance
by
Rosario N. Mantegna
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Dynamics of Markets: Econophysics and Finance
by
Joseph L. McCauley
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The Statistical Mechanics of Financial Markets (Theoretical and Mathematical Physics)
by
Johannes Voit
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Analysis of Financial Time Series (Wiley Series in Probability and Statistics)
by
Ruey S. Tsay
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An Introduction to High-Frequency Finance
by
Ramazan Gençay
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The Volatility Surface: A Practitioner's Guide (Wiley Finance)
by
Jim Gatheral
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My Life as a Quant: Reflections on Physics and Finance
by
Emanuel Derman
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An Introduction to the Mathematics of Financial Derivatives, Second Edition (Academic Press Advanced Finance)
by
Salih N. Neftci
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Compare the deterministic and stochastic calculus in details to well motivate the new rules on stochastic differentiation. Intuitive explanation on measure and probability. Good examples of change measures and applications of Girsanov Theorem.
Interest Rate Models - Theory and Practice: With Smile, Inflation and Credit (Springer Finance)
by
Damiano Brigo
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The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk)
by
Mark S. Joshi
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Statistical Physics: Statics, Dynamics and Renormalization
by
Leo P. Kadanoff
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Numerical Solution of Stochastic Differential Equations (Stochastic Modelling and Applied Probability)
by
Peter E. Kloeden
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Martingale Methods in Financial Modelling (Stochastic Modelling and Applied Probability)
by
Marek Musiela
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First Course in Probability, A (7th Edition)
by
Sheldon Ross
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