David Ruppert
Springer New York
2011e druk, 2012
9781461427490
Statistics and Data Analysis for Financial Engineering
Specificaties
Paperback, 638 blz.
|
Engels
Springer New York |
2011e druk, 2012
ISBN13: 9781461427490
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:
Onderdeel van serie
Springer Texts in Statistics
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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 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.
Specificaties
ISBN13:9781461427490
Taal:Engels
Bindwijze:paperback
Aantal pagina's:638
Uitgever:Springer New York
Druk:2011
Inhoudsopgave
Introduction.- Returns.- Fixed income securities.- Exploratory data analysis.- Modeling univariate distributions.- Resampling.- Multivariate statistical models.- Copulas.- Time series models: basics.- Time series models: further topics.- Portfolio theory.- Regression: basics.- Regression: troubleshooting.- Regression: advanced topics.- Cointegration.- The capital asset pricing model.- Factor models and principal components.- GARCH models.- Risk management.- Bayesian data analysis and MCMC.- Nonparametric regression and splines.
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