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Stochastic processes and applications to mathematical finance proceedings of the 6th Ritsumeikan International Symposium, Ritsumeikan University, Japan, 6-10 March 2006 /
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Stochastic optimization models in finance
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Mathematical techniques in finance tools for incomplete markets /
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Mathematics for finance : an introduction to financial engineering /
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Advanced financial modelling
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Mathematical methods for finance : tools for asset and risk management /
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The mathematics of financial modeling and investment management /
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Nonlinear time series models in empirical finance
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A workout in computational finance
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Measure, probability, and mathematical finance : a problem oriented approach /
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Copula methods in finance
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Numerical methods in finance /
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Linear factor models in finance
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Dynamic copula methods in finance
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Finance a characteristics approach /
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Advances in quantitative analysis of finance and accounting.
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Simulation and optimization in finance modeling with MATLAB, @Risk, or VBA /
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Quantitative finance for physicists an introduction /
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The mathematics of financial models : solving real-world problems with quantitative methods /
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An introduction to wavelet theory in finance a wavelet multiscale approach /
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Extreme events in finance : a handbook of extreme value theory and its applications /
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Financial modelling theory, implementation and practice (with Matlab source) /
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An introduction to high-frequency finance
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Quantitative analysis in financial markets collected papers of the New York University Mathematical Finance Seminar.
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Advanced quantitative finance with C++ : create and implement mathemtical models in C++ using quatitaive finance /
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Haskell financial data modeling and predictive analytics /
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Quantitative analysis in financial markets collected papers of the New York University Mathematical Finance Seminar.
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Fundamental models in financial theory /
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New series
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GARCH models structure, statistical inference, and financial applications /
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Financial modelling in practice a concise guide for intermediate and advanced level /
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Financial markets and the real economy /
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Python for finance : build real-life Python applications for quantitative finance and financial engineering /
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Computational financial mathematics using Mathematica : optimal trading in stocks and options /
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Non-Gaussian Merton-Black-Scholes theory
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Financial modeling in excel /
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