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Hedge fund modelling and analysis using MATLAB®

Author: Paul Darbyshire; David Hampton
Publisher: Hoboken : Wiley, 2014.
Series: Wiley finance series.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"The second book in Darbyshire and Hampton's Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB(r) takes advantage of the huge library of built-in functions and suite of financial and analytic packages available to MATLAB(r). This allows for a more detailed analysis of some of the more computationally intensive and advanced topics, such as hedge fund classification, performance  Read more...
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Additional Physical Format: Online version:
Darbyshire, Paul.
Hedge fund modelling and analysis using MATLAB®.
Hoboken : Wiley, 2014
(DLC) 2014013512
Document Type: Book
All Authors / Contributors: Paul Darbyshire; David Hampton
ISBN: 9781119967378 1119967376
OCLC Number: 871357705
Notes: Machine generated contents note: Preface xi 1 The Hedge Fund Industry 1 1.1 What are Hedge Funds? 1 1.2 The Structure of a Hedge Fund 4 1.3 The Global Hedge Fund Industry 6 1.4 Specialist Investment Techniques 10 1.5 New Developments for Hedge Funds 14 2 Hedge Fund Data Sources 19 2.1 Hedge Fund Databases 19 2.2 Major Hedge Fund Indices 20 2.3 Database and Index Biases 39 2.4 Benchmarking 42 3 Statistical Analysis 45 3.1 Basic Performance Plots 45 3.2 Probability Distributions 49 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 3.7 Moments of a Distribution 58 3.8 Covariance and Correlation 63 3.9 Linear Regression 67 4 Mean-Variance Optimisation 77 4.1 Portfolio Theory 77 4.2 Efficient Portfolios 87 5 Performance Measurement 97 5.1 The Intuition Behind Risk-Adjusted Returns 97 5.2 Absolute Risk-Adjusted Return Metrics 103 5.3 Market Model Risk-Adjusted Return Metrics 110 5.4 MAR and LPM Metrics 125 5.5 Multi-Factor Asset Pricing Extensions 131 6 Hedge Fund Classification 137 6.1 Financial Instrument Building Blocks and Style Groups 137 6.2 Hedge Fund Clusters and Classification 138 7 Market Risk Management 155 7.1 Value-at-Risk 155 7.2 Traditional VaR Methods 159 7.3 Modified VaR 165 7.4 Expected Shortfall 166 7.5 Extreme Value Theory 172 References 179 Index 000.
Description: xv, 188 pages : illustrations ; 23 cm.
Contents: 1. The Hedge Fund Industry --
1.1 What are Hedge Funds? --
1.2 The Structure of a Hedge Fund --
1.3 The Global Hedge Fund Industry --
1.4 Specialist Investment Techniques --
1.5 New Developments for Hedge Funds --
2. Hedge Fund Data Sources --
2.1 Hedge Fund Databases --
2.2 Major Hedge Fund Indices --
2.3 Database and Index Biases --
2.4 Benchmarking --
3. Statistical Analysis --
3.1 Basic Performance Plots --
3.2 Probability Distributions --
3.3 Probability Density Function --
3.4 Cumulative Distribution Function --
3.5 The Normal Distribution --
3.6 Visual Tests for Normality --
3.7 Moments of a Distribution --
3.8 Covariance and Correlation --
3.9 Linear Regression --
4. Mean-Variance Optimisation --
4.1 Portfolio Theory --
4.2 Efficient Portfolios --
5. Performance Measurement --
5.1 The Intuition Behind Risk-Adjusted Returns --
5.2 Absolute Risk-Adjusted Return Metrics --
5.3 Market Model Risk-Adjusted Return Metrics --
5.4 MAR and LPM Metrics --
5.5 Multi-Factor Asset Pricing Extensions --
6. Hedge Fund Classification --
6.1 Financial Instrument Building Blocks and Style Groups --
6.2 Hedge Fund Clusters and Classification --
7. Market Risk Management --
7.1 Value-at-Risk --
7.2 Traditional VaR Methods --
7.3 Modified VaR --
7.4 Expected Shortfall --
7.5 Extreme Value Theory.
Series Title: Wiley finance series.
Responsibility: Paul Darbyshire, David Hampton.
More information:

Abstract:

The second book in Darbyshire and Hampton s Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB(R) takes advantage of the huge library of built-in functions and  Read more...

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