{"product_id":"9781461427490","title":"Statistics and Data Analysis for Financial Engineering","description":"\u003cp\u003eFinancial 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 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. \u003c\/p\u003e\u003cp\u003eThe prerequisites are basic statistics and probability, matrices and linear algebra, and calculus.\u003c\/p\u003e\u003cp\u003eSome exposure to finance is helpful.\u003c\/p\u003e","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47053973192944,"sku":"9781461427490","price":99.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781461427490_p0.jpg?v=1763673757","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781461427490","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}