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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Bibliografische gegevens

Hoofdauteur:	Ruppert, David 1948- (Auteur)
Formaat:	Electronic Resource
Taal:	English
Gepubliceerd in:	New York, New York Springer New York 2010.
Reeks:	Springer texts in statistics
Onderwerpen:	Financial engineering > Statistical methods. Finance > Statistical methods.
Online toegang:	Available for UP System via Springer Link.