Title
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics),Used
Delivery time: 8-12 business days (International)
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 this textbook are: illustration of concepts with financial markets and economic data, R Labs with realdata exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the authors undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduatelevel; 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.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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