Statistics and data analysis for financial engineering

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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Podrobná bibliografie
Hlavní autor: Ruppert, David 1948- (Autor)
Médium: Electronic Resource
Jazyk:English
Vydáno: New York, New York Springer New York 2010.
Edice:Springer texts in statistics
Témata:
Financial engineering > Statistical methods.
Finance > Statistical methods.
On-line přístup:Available for UP System via Springer Link.