Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)

Amazon.com Price: $71.03 (as of 11/10/2019 08:48 PST- Details)

Description

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics important for financial engineering. In doing so, it illustrates concepts the usage of financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are essential because financial engineers now have get right of entry to to enormous quantities of data. To use this information, the powerful methods on this book for working with quantitative information, particularly about volatility and risks, are very important. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There may be an appendix on probability, statistics and linear algebra. Practicing financial engineers will even find this book of interest.

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