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About The Book Statistics and Data Analysis for Financial Engineering Pdf Free Download
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of Statistics and Data Analysis for Financial Engineering PDF free download are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author’s undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration.
The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus.
Some exposure to finance is helpful.
About The Author For Statistics and Data Analysis for Financial Engineering Pdf Free Download
David Ruppert is Andrew Schultz Jr. Professor of Engineering, School of Operations Research and Information Engineering, and Professor of Statistics and Data Science, Cornell University.