Hedge Fund Modelling and Analysis Using MATLAB^®

With the global financial meltdown of 2008 behind us and another potentially worse crisis looming on the horizon, the challenges have never been greater for hedge fund managers seeking to deliver the kinds of returns their clients have come to expect. To survive in todays increasingly volatile, risky and uncertain financial markets, fund managers, risk analysts and savvy investors need to fully understand the best modelling and analytical techniques at their disposal. Hedge Fund Modelling and Analysis Using MATLAB^® shows them how.

Coauthored by two respected authorities on hedge funds and asset management, this implementation-oriented guide shows you how to employ a range of the most commonly used analysis tools and techniques both in industry and academia, for understanding, identifying and managing risk as well as for quantifying return factors across several key investment strategies. The book is also suitable for use as a core textbook for specialised graduate level courses in hedge funds and alternative investments.

Starting with an overview of the hedge fund industry the book then moves on to look at a variety of commercially available hedge fund data sources. 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. Finally, common hedge fund market risk management techniques, such as traditional Value-at-Risk methods, modified extensions and expected shortfall are covered.

This book will serve 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 developed in MATLAB for analysing and estimating alpha and beta sources of return, performing manager ranking and market risk management.