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Practical Risk-Adjusted Performance Measurement

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Practical Risk-Adjusted Performance Measurement Cover

 

Synopses & Reviews

Publisher Comments:

Practical risk-adjusted performance measurement 

“If there is a risk measure missing from Carl Bacon’s quite detailed, well written, and thoroughly researched tome, it is probably brand new or known to but a very few. Carl’s latest offering belongs on the bookshelves of all who consider themselves performance and risk measurement professionals, as it will no doubt prove to be a handy and frequently visited reference.”—David Spaulding, CIPM, President, The Spaulding Group, Inc 

“As the importance of investment performance analysis continues to grow, the pertinence of risk as part of that analysis is increasingly recognized. Carl Bacon has been a leader amongst industry experts calling for more focus on risk analytics. His book provides excellent context, perspective and guidance for industry practitioners on this important topic.”—Todd Juillerat, CFA, Managing Director, State Street Global Advisors 

“At last a book written for practitioners by a practitioner, a book that starts with the theory but uniquely then provides guidance and direction on how to put that theory into everyday practise.”—Colin Morrison, Owner, Paradigm Investment Consulting Limited

 “Carl has always been the must-see keynote lecturer at any serious investment performance measurement conference. I am thrilled that his latest masterpiece, Practical Risk-Adjusted Performance Measurement, assembles his vast practical knowledge in a practitioner friendly volume.”—Todd Jankowski, Head CIPM Program, CFA Institute

Synopsis:

Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. Focusing on ex-post risk from a buy side, asset management, risk practitioner’s perspective, Practical Risk-Adjusted Performance Measurement simplifies the subject and demonstrates with practical examples that risk is not as complicated as it might seem.

The book begins by introducing risk in the context of asset management firms before going on to cover the descriptive statistics required for later chapters. Then, structured according to the type of risk measure being considered, the book covers simple measures, regression measures, drawdown, partial moments, extreme risk, risk measures for fixed income instruments, and risk adjusted returns. The book concludes with a discussion as to which risk measures to use and their application in terms of risk control. 

By documenting, with appropriate referencing, many of the ex-post risk measures in a structured format, filling gaps, encouraging consistency, suggesting new measures and highlighting possible areas of confusion or misrepresentation, this book is the ideal practitioners practical guide to ex-post performance measurement techniques. Written by a renowned expert in investment performance, the book includes a number of practical worked examples for risk measures and their interpretation and is also accompanied by a supplementary website, www.wiley.com/go/performancemeasurement, containing excel worked examples.

Synopsis:

A practitioner's guide to ex-post performance measurement techniques

Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. This book simplifies the subject and demonstrates with practical examples that risk is perfectly straightforward and not as complicated as it might seem. Unlike most books written on portfolio risk, which generally focus on ex-ante risk from an academic perspective using complicated language and no worked examples, this book focuses on ex-post risk from a buy side, asset management, risk practitioners perspective, including a number of practical worked examples for risk measures and their interpretation.

About the Author

CARL BACON CIPM, joined StatPro Group plc as Chairman in April 2000. StatPro is a platform for Portfolio Analytics, Valuation, Reporting and Research for the investment community. Carl also runs his own consultancy business providing advice to asset managers on various risk and performance measurement issues. Prior to joining StatPro Carl was Director of Risk Control and Performance at Foreign & Colonial Management Ltd, Vice President Head of Performance (Europe) for J P Morgan Investment Management Inc., and Head of Performance for Royal Insurance Asset Management. Carl holds a BSc Hons. in Mathematics from Manchester University and is a member of the Advisory Board of the Journal of Performance Measurement A founder member of both the Investment Performance Council and GIPS®, Carl is chair of the GIPS Executive Committee, chair of the  Verification Sub-Committee and  a member of the UK Investment Performance Committee. Carl is also the founder of The Freedom Index Company and is also the author of Practical Portfolio Performance Measurement and Attribution part of the Wiley Finance Series, numerous articles and papers and editor of Advanced Portfolio Attribution Analysis.

Table of Contents

Preface xv

Acknowledgements xvii

1 Introduction 1

Definition of risk 1

Risk types 1

Risk management v risk control 4

Risk aversion 4

Ex-post and ex-ante 4

Dispersion 5

2 Descriptive Statistics 7

Mean (or arithmetic mean) 7

Annualised return 8

Continuously compounded returns (or log returns) 8

Winsorised mean 9

Mean absolute deviation (or mean deviation) 9

Variance 10

Mean difference (absolute mean difference or Gini mean difference) 12

Relative mean difference 14

Bessel’s correction (population or sample, n or n−1) 14

Sample variance 17

Standard deviation (variability or volatility) 17

Annualised risk (or time aggregation) 18

The Central Limit Theorem 19

Janssen annualisation 19

Frequency and number of data points 19

Normal (or Gaussian) distribution 21

Histograms 22

Skewness (Fisher’s or moment skewness) 22

Sample skewness 24

Kurtosis (Pearson’s kurtosis) 24

Excess kurtosis (or Fisher’s kurtosis) 25

Sample kurtosis 25

Bera-Jarque statistic (or Jarque-Bera) 27

Covariance 28

Sample covariance 30

Correlation (ρ) 30

Sample correlation 32

Up capture indicator 32

Down capture indicator 34

Up number ratio 34

Down number ratio 34

Up percentage ratio 35

Down percentage ratio 35

Percentage gain ratio 35

Hurst index (or Hurst exponent) 35

Bias ratio 37

3 Simple Risk Measures 43

Performance appraisal 43

Sharpe ratio (reward to variability, Sharpe index) 43

Roy ratio 46

Risk free rate 46

Alternative Sharpe ratio 47

Revised Sharpe ratio 48

Adjusted Sharpe ratio 48

Skewness-kurtosis ratio 49

MAD ratio 49

Gini ratio 52

Relative risk 53

Tracking error (or tracking risk, relative risk, active risk) 53

Relative skewness 54

Relative kurtosis 55

Information ratio 55

Geometric information ratio 56

Modified information ratio 57

Adjusted information ratio 61

Relative Hurst 61

4 Regression Analysis 69

Regression equation 69

Regression alpha (αR) 70

Regression beta (βR) 70

Regression epsilon (εR) 70

Capital Asset Pricing Model (CAPM) 71

Beta (β) (systematic risk or volatility) 71

Jensen’s alpha (Jensen’s measure or Jensen’s differential return or ex-post alpha) 72

Annualised alpha 72

Bull beta (β +) 73

Bear beta (β −) 73

Beta timing ratio 73

Market timing 78

Systematic risk 81

R2 (or coefficient of determination) 83

Specific or residual risk 83

Treynor ratio (reward to volatility) 84

Modified Treynor ratio 86

Appraisal ratio (or Treynor-Black ratio) 86

Modified Jensen 87

Fama decomposition 88

Selectivity 88

Diversification 88

Net selectivity 89

Fama-French three factor model 89

Three factor alpha (or Fama-French alpha) 91

Carhart four factor model 91

Four factor alpha (or Carhart’s alpha) 91

K ratio 91

5 Drawdown 97

Drawdown 97

Average drawdown 97

Maximum drawdown (or peak to valley drawdown) 98

Largest individual drawdown 98

Recovery time (or drawdown duration) 98

Drawdown deviation 98

Ulcer index 99

Pain index 100

Calmar ratio (or drawdown ratio) 100

MAR ratio 100

Sterling ratio 100

Sterling-Calmar ratio 101

Burke ratio 102

Modified Burke ratio 102

Martin ratio (or Ulcer performance index) 102

Pain ratio 103

Lake ratio 103

Peak ratio 106

6 Partial Moments 107

Downside risk (or semi-standard deviation) 107

Pure downside risk 108

Half variance (or semi-variance) 108

Upside risk (or upside uncertainty) 108

Mean absolute moment 109

Omega ratio () 110

Bernardo and Ledoit (or gain-loss) ratio 110

d ratio 110

Omega-Sharpe ratio 111

Sortino ratio 112

Reward to half-variance 112

Downside risk Sharpe ratio 113

Downside information ratio 113

Kappa (Kl) (or Sortino-Satchell ratio) 113

Upside potential ratio 114

Volatility skewness 114

Variability skewness 115

Farinelli-Tibiletti ratio 115

Prospect ratio 117

7 Extreme Risk 119

Extreme events 119

Extreme value theory 119

Value at risk (VaR) 119

Relative VaR 120

Ex-post VaR 120

Potential upside (gain at risk) 121

Percentile rank 121

VaR calculation methodology 122

Parametric VaR 124

Modified VaR 125

Historical simulation (or non-parametric) 125

Monte Carlo simulation 126

Which methodology for calculating VaR should be used? 126

Frequency and time aggregation 127

Time horizon 127

Window length 127

Reward to VaR 128

Reward to relative VaR 129

Double VaR ratio 129

Conditional VaR (expected shortfall, tail loss, tail VaR or average VaR) 130

Upper CVaR or CVaR+ 131

Lower CVaR or CVaR− 131

Tail gain (expected gain or expected upside) 132

Conditional Sharpe ratio (STARR ratio or reward to conditional VaR) 133

Modified Sharpe ratio (reward to modified VaR) 136

Tail risk 136

Tail ratio 137

Rachev ratio (or R ratio) 137

Generalised Rachev ratio 137

Drawdown at risk 138

Conditional drawdown at risk 138

Reward to conditional drawdown 138

Generalised Z ratio 138

8 Fixed Income Risk 141

Pricing fixed income instruments 141

Redemption yield (yield to maturity) 141

Weighted average cash flow 141

Duration (effective mean term, discounted mean term or volatility) 142

Macaulay duration 142

Macaulay-Weil duration 143

Modified duration 143

Portfolio duration 144

Effective duration (or option-adjusted duration) 145

Duration to worst 146

Convexity 147

Modified convexity 147

Effective convexity 148

Portfolio convexity 148

Bond returns 149

Duration beta 150

Reward to duration 151

9 Risk-adjusted Return 153

Risk-adjusted return 153

M2 153

M2 excess return 154

Differential return 155

GH1 (Graham & Harvey 1) 156

GH2 (Graham & Harvey 2) 156

Correlation and risk-adjusted return M3 157

Return adjusted for downside risk 158

Adjusted M2 160

Omega excess return 161

10 Which Risk Measure to Use? 163

Why measure ex-post risk? 163

Which risk measures to use? 164

Hedge funds 164

Smoothing 169

Outliers 171

Data mining 171

Risk measures and the Global Investment

Performance Standards (GIPS R ) 172

Fund rating systems 174

Risk efficiency ratio 175

Which measures are actually used? 176

Which risk measures should really be used? 178

11 Risk Control 181

Regulations in the investment risk area 181

Risk control structure 182

Risk management 183

Glossary of Key Terms 189

Appendix A – Composite Internal Risk Measures 193

Appendix B – Absolute Risk Dashboard 195

Appendix C – Relative Risk Dashboard 199

Bibliography 203

Index 209

Product Details

ISBN:
9781118391525
Publisher:
Wiley
Subject:
Finance
Author:
Bacon, Carl R.
Subject:
Institutional & Corporate Finance
Subject:
Risk management
Subject:
Performance standards
Subject:
Business & Economics : Finance
Copyright:
Series:
The Wiley Finance Series
Publication Date:
20121005
Binding:
Electronic book text in proprietary or open standard format
Language:
English
Pages:
236
Dimensions:
250 x 150 x 15 mm 24 oz

Related Subjects

Business » Accounting and Finance

Practical Risk-Adjusted Performance Measurement
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Product details 236 pages Wiley - English 9781118391525 Reviews:
"Synopsis" by , Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. Focusing on ex-post risk from a buy side, asset management, risk practitioner’s perspective, Practical Risk-Adjusted Performance Measurement simplifies the subject and demonstrates with practical examples that risk is not as complicated as it might seem.

The book begins by introducing risk in the context of asset management firms before going on to cover the descriptive statistics required for later chapters. Then, structured according to the type of risk measure being considered, the book covers simple measures, regression measures, drawdown, partial moments, extreme risk, risk measures for fixed income instruments, and risk adjusted returns. The book concludes with a discussion as to which risk measures to use and their application in terms of risk control. 

By documenting, with appropriate referencing, many of the ex-post risk measures in a structured format, filling gaps, encouraging consistency, suggesting new measures and highlighting possible areas of confusion or misrepresentation, this book is the ideal practitioners practical guide to ex-post performance measurement techniques. Written by a renowned expert in investment performance, the book includes a number of practical worked examples for risk measures and their interpretation and is also accompanied by a supplementary website, www.wiley.com/go/performancemeasurement, containing excel worked examples.

"Synopsis" by , A practitioner's guide to ex-post performance measurement techniques

Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. This book simplifies the subject and demonstrates with practical examples that risk is perfectly straightforward and not as complicated as it might seem. Unlike most books written on portfolio risk, which generally focus on ex-ante risk from an academic perspective using complicated language and no worked examples, this book focuses on ex-post risk from a buy side, asset management, risk practitioners perspective, including a number of practical worked examples for risk measures and their interpretation.

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