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Top computational-finance books mentioned on stackoverflow.com

Time Series Analysis

James Douglas Hamilton

Difference equations; Lag operators; Stationary ARMA processes; Forecasting; Maximum likelihood estimation; Spectral analysis; Asymptotic distribution theory; Linear regression models; Linear systems of simultaneous equations; Covariance-stationary vector processes; Vector autoregressions; Bayesian analysis; The Kalman Filter; Generalized method of moments; Models of nonstationary time series; Processes with deterministic time trends; Univariate processes with unit roots; Unit roots in multivariate time series; Cointegration; Full-information maximum likelihood analysis of cointegrated systems; Time series models of heteroskedasticity; Modeling time series with changes in regime; Mathematical review; Statistical tables; Answers to selected exercises; Greek letters and mathematical symbols used in the text.

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Paul Wilmott Introduces Quantitative Finance

Paul Wilmott

Paul Wilmott Introduces Quantitative Finance, Second Edition is an accessible introduction to the classical side of quantitative finance specifically for university students. Adapted from the comprehensive, even epic, works Derivatives and Paul Wilmott on Quantitative Finance, Second Edition, it includes carefully selected chapters to give the student a thorough understanding of futures, options and numerical methods. Software is included to help visualize the most important ideas and to show how techniques are implemented in practice. There are comprehensive end-of-chapter exercises to test students on their understanding.

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