Darbyshire / Hampton Hedge Fund Modelling and Analysis using MATLAB

1. Auflage 2014
ISBN: 978-1-119-96767-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 208 Seiten, E-Book

Reihe: Wiley Finance Series

The second book in Darbyshire and Hampton's Hedge FundModelling and Analysis series, Hedge Fund Modelling and AnalysisUsing MATLAB® takes advantage of the huge library ofbuilt-in functions and suite of financial and analytic packagesavailable to MATLAB®. This allows for a more detailed analysisof some of the more computationally intensive and advanced topics,such as hedge fund classification, performance measurement andmean-variance optimisation. Darbyshire and Hampton's firstbook in the series, Hedge Fund Modelling and Analysis UsingExcel & and VBA, is seen as a valuable supplementary textto this book.
Starting with an overview of the hedge fund industry the bookthen looks at a variety of commercially available hedge fund datasources. After covering key statistical techniques and methods, thebook discusses mean-variance optimisation, hedge fundclassification and performance with an emphasis on risk-adjustedreturn metrics. Finally, common hedge fund market risk managementtechniques, such as traditional Value-at-Risk methods, modifiedextensions and expected shortfall are covered.
The book's dedicated website, www.darbyshirehampton.comprovides free downloads of all the data and MATLAB®source code, as well as other useful resources.
Hedge Fund Modelling and Analysis Using MATLAB®serves as a definitive introductory guide to hedge fund modellingand analysis and will provide investors, industrypractitioners and students alike with a useful range oftools and techniques for analysing and estimating alpha and betasources of return, performing manager ranking and market riskmanagement.

Autoren/Hrsg.

Darbyshire, Paul

Hampton, David

Inhaltsverzeichnis

Preface xi
1 The Hedge Fund Industry 1
1.1 What are Hedge Funds? 1
1.2 The Structure of a Hedge Fund 4
1.2.1 Fund Administrators 4
1.2.2 Prime Brokers 5
1.2.3 Custodian, Auditors and Legal 6
1.3 The Global Hedge Fund Industry 6
1.3.1 North America 8
1.3.2 Europe 9
1.3.3 Asia 10
1.4 Specialist Investment Techniques 10
1.4.1 Short Selling 10
1.4.2 Leverage 12
1.4.3 Liquidity 13
1.5 New Developments for Hedge Funds 14
1.5.1 UCITS III Hedge Funds 14
1.5.2 The European Passport 17
1.5.3 Restrictions on Short Selling 17
2 Hedge Fund Data Sources 19
2.1 Hedge Fund Databases 19
2.2 Major Hedge Fund Indices 20
2.2.1 Non-Investable and Investable Indices 20
2.2.2 Dow Jones Credit Suisse Hedge Fund Indices 22
2.2.3 Hedge Fund Research 28
2.2.4 FTSE Hedge 32
2.2.5 Greenwich Alternative Investments 33
2.2.6 Morningstar Alternative Investment Center 35
2.2.7 EDHEC Risk and Asset Management Research Centre 39
2.3 Database and Index Biases 39
2.3.1 Survivorship Bias 40
2.3.2 Instant History Bias 41
2.4 Benchmarking 42
2.4.1 Tracking Error 43
3 Statistical Analysis 45
3.1 Basic Performance Plots 45
3.1.1 Value Added Index 45
3.1.2 Histograms 47
3.2 Probability Distributions 49
3.2.1 Populations and Samples 51
3.3 Probability Density Function 52
3.4 Cumulative Distribution Function 53
3.5 The Normal Distribution 54
3.5.1 Standard Normal Distribution 55
3.6 Visual Tests for Normality 56
3.6.1 Inspection 56
3.6.2 Normal Probability Plot 56
3.7 Moments of a Distribution 58
3.7.1 Mean and Standard Deviation 58
3.7.2 Skew 60
3.7.3 Kurtosis 62
3.8 Covariance and Correlation 63
3.9 Linear Regression 67
3.9.1 Coefficient of Determination 69
3.9.2 Residual Plots 69
3.9.3 Jarque-Bera Test 73
4 Mean-Variance Optimisation 77
4.1 Portfolio Theory 77
4.1.1 Mean-Variance Analysis 77
4.1.2 An Optimisation Problem 81
4.1.3 Sharpe Ratio Maximisation 85
4.2 Efficient Portfolios 87
5 Performance Measurement 97
5.1 The Intuition Behind Risk-Adjusted Returns 97
5.1.1 Risk-Adjusted Returns 99
5.2 Absolute Risk-Adjusted Return Metrics 103
5.2.1 The Sharpe Ratio 105
5.2.2 The Modified Sharpe Ratio 106
5.2.3 The Maximum Drawdown Ratio 107
5.3 Market Model Risk-Adjusted Return Metrics 110
5.3.1 The Information Ratio 111
5.3.2 The Treynor Ratio 113
5.3.3 Jensen's Alpha 118
5.3.4 GH1 Metric 119
5.3.5 The M2 Metric 120
5.3.6 The GH2 Metric 123
5.4 MAR and LPM Metrics 125
5.4.1 The Sortino Ratio 125
5.4.2 The Omega Ratio 127
5.4.3 The Upside Potential Ratio and Group Rankings 129
5.5 Multi-Factor Asset Pricing Extensions 131
5.5.1 The Choice of Factors 133
6 Hedge Fund Classification 137
6.1 Financial Instrument Building Blocks and Style Groups137
6.2 Hedge Fund Clusters and Classification 138
6.2.1 Metric Definitions 140
6.2.2 Creating Dendrograms 140
6.2.3 Interpreting Dendrograms 141
7 Market Risk Management 155
7.1 Value-at-Risk 155
7.2 Traditional VaR Methods 159
7.2.1 Historical Simulation 159
7.2.2 Parametric Method 161
7.2.3 Monte-Carlo Simulation 162
7.3 Modified VaR 165
7.4 Expected Shortfall 166
7.5 Extreme Value Theory 172
7.5.1 Block Maxima 174
7.5.2 Peaks Over Threshold 174
References 179
Index 183

Über Autor(innen)

Paul Darbyshire gained his PhD in Theoretical Physicsfrom King's College London and then began his career workinghas a Quantitative Analyst and Trader at HSBC on the ExoticDerivatives and Structured Products desk. He has subsequently beeninvolved in the development and implementation of a variety oftrading and risk management platforms for a number of majorinvestment banks around the globe. Since 2005, Paul has beenresponsible for the analysis and design of cutting-edge algorithmsin the development of behavioural finance and decision makingmodels at the University of Oxford. Paul also provides many privateequity firms, hedge funds and investment management companies withsenior consultancy in areas such as dynamic portfolio optimisation,trading platform design, software engineering and riskmanagement.
David Hampton gained his PhD in Electrical Engineeringfrom the Queen's University of Belfast and an internationalMBA from Institut Superieur de Gestion in Paris, New York and Tokyobefore joining Bank of America Capital Markets in London. David waspreviously an Adjunct Finance Professor at Skema Business School inSophia Antipolis where he taught Financial Engineering andExcel/VBA Programming at the MSc level. At EDHEC BusinessSchool in Nice, he was responsible for managing their range of fiveMSc courses as Assistant Dean of the Financial Economics Track. AnNFA registered CTA since 1996, David has been active as aconsultant to the hedge fund community and as a Hedge Fund Managerwith particular expertise in Global Macro Managed Futures and LongShort Equity investment styles.
Both David and Paul are Directors of darbyshirehampton; aninnovative quantitative research, advisory, and consultancy firmspecialising in hedge funds and the alternative investmentindustry. Website: www.darbyshirehampton.com.