Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return
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Quantitative Investment Portfolio Analytics In R: An Introduction To R For Modeling Portfolio Risk and Return

by James Picerno

Finance Programming Mathematics
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Quantitative Investment Portfolio Analytics In R offers an introduction to R for modeling investment portfolio risk and return. James Picerno presents a finance-focused resource for readers seeking to explore quantitative portfolio analytics and apply programming concepts to investment analysis.

About This Book

Quantitative Investment Portfolio Analytics In R introduces R as a tool for investment portfolio analysis.

The book focuses on modeling portfolio risk and return through quantitative methods.

It is designed as an introduction to R for readers interested in applying programming to portfolio analytics.

Its subject combines finance, investing, data analysis, and practical use of the R programming language.

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I will be using this book for: