Statistics and data analysis for financial engineering

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 exerc...

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Bibliographic Details

Main Author:	Ruppert, David 1948-
Corporate Author:	SpringerLink (Online service)
Resource Type:	Electronic Resource
Language:	English
Published:	New York Springer c2011.
Series:	Springer texts in statistics
Subjects:	Financial engineering > Statistical methods. Finance > Statistical methods. Electronic books.
Online Access:	Available for University of the Philippines Diliman via SpringerLink. Click here to access