Statistics and Data Analysis for Financial Engineering - with R examples (Hardcover, 2nd ed. 2015)

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using 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 critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. 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 is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	April 2015
First published:	2015
Authors:	David Ruppert • David S Matteson
Dimensions:	235 x 155 x 34mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	719
Edition:	2nd ed. 2015
ISBN-13:	978-1-4939-2613-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Finance & accounting > Finance > General Books > Money & Finance > General
LSN:	1-4939-2613-6
Barcode:	9781493926138

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