Hedge Fund Modelling And Analysis Using Matlab
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Hedge Fund Modelling And Analysis Using Matlab

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The second book in Darbyshire and Hampton’s Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB® takes advantage of the huge library of built-in functions and suite of financial and analytic packages available to MATLAB®

After covering key statistical techniques and methods, the book discusses mean-variance optimisation, hedge fund classification and performance with an emphasis on risk-adjusted return metrics

Darbyshire and Hampton s first book in the series, Hedge Fund Modelling and Analysis Using Excel and VBA, is seen as a valuable supplementary text to this book

Finally, common hedge fund market risk management techniques, such as traditional Value-at-Risk methods, modified extensions and expected shortfall are covered

Hedge Fund Modelling and Analysis Using MATLAB serves as a definitive introductory guide to hedge fund modelling and analysis and will provide investors, industry practitioners and students alike with a useful range of tools and techniques for analysing and estimating alpha and beta sources of return, performing manager ranking and market risk management.

Starting with an overview of the hedge fund industry the book then looks at a variety of commercially available hedge fund data sources

The book s dedicated website, www.darbyshirehampton.com provides free downloads of all the data and MATLAB source code, as well as other useful resources

This allows for a more detailed analysis of some of the more computationally intensive and advanced topics, such as hedge fund classification, performance measurement and mean-variance optimisation

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