A feasible asset allocation framework for the post 2008
financial world
Asset allocation has long been a cornerstone of prudent
investment management; however, traditional allocation plans failed
investors miserably in 2008. Asset allocation still remains an
essential part of the investment arena, and through a new approach,
you'll discover how to make it work.
In The New Science of Asset Allocation, authors Thomas
Schneeweis, Garry Crowder, and Hossein Kazemi first explore the
myths that plague this field then quickly move on to examine how
the practice of asset allocation has failed in recent years. They
then propose new allocation models that employ liquidity,
transparency, and real risk controls across multiple asset
classes.
* Outlines a new approach to asset allocation in a post-2008
world, where risk seems hidden
* The "great manager" problem is examined with solutions on how
to capture manager alpha while limiting downside risk
* A complete case study is presented that allocates for beta and
alpha
Written by an experienced team of industry leaders and academic
experts, The New Science of Asset Allocation explains how
you can effectively apply this approach to a financial world that
continues to change.
Autorentext
THOMAS SCHNEEWEIS, PHD, is the Michael and Cheryl Philipp Professor of Finance at the University of Massachusetts, Amherst and is the founding director of the Center for International Securities and Derivatives Markets. He is also the founding editor of the Journal of Alternative Investments, cofounder of the Chartered Alternative Investment Analyst Association, and a founding Director of the Institute for Global Asset and Risk Management. During his almost forty years of investment management experience, he has been associated with the development of alpha transfer and fund replication products, the creation and development of the Zurich Hedge Fund Indices and the Dow Jones Hedge Fund Benchmark Series, as well as being instrumental in the creation of the Bache Commodity Index. Schneeweis publishes widely in the area of investment management and is often quoted in the financial press.
GARRY B. CROWDER, JD, MBA, is a noted expert in the development and creation of multi-asset portfolio solutions and products. He has designed and implemented asset allocation solutions for leading multinational banks, insurance companies, and family offices. Crowder created and was managing partner of one of the first and largest hedge fund platforms based on managed accounts. In this capacity, he formed and led the team that created the Zurich Hedge Fund Indices and the Dow Jones Hedge Fund Benchmark Series. With over twenty years of investment experience, he is a founding Director of the Institute for Global Asset and Risk Management and has also served in managing director positions at Morgan Stanley Asset Management and Tiger Management LLC.
HOSSEIN KAZEMI, PHD, CFA, is regarded as a leader in the area of asset allocation, and has published over thirty academic and practitioner articles in the area of asset pricing and asset allocation. He is a founding partner of Alternative Investment Analytics, LLC, and White Bear Partners, LLC. Kazemi is a professor of finance at the University of Massachusetts, Amherst and is the Associate Director of the Center for International Securities and Derivatives Markets. He is the current Program Director of the Chartered Alternative Analyst Investment Association.
Zusammenfassung
A feasible asset allocation framework for the post 2008 financial world
Asset allocation has long been a cornerstone of prudent investment management; however, traditional allocation plans failed investors miserably in 2008. Asset allocation still remains an essential part of the investment arena, and through a new approach, you'll discover how to make it work.
In The New Science of Asset Allocation, authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first explore the myths that plague this field then quickly move on to examine how the practice of asset allocation has failed in recent years. They then propose new allocation models that employ liquidity, transparency, and real risk controls across multiple asset classes.
- Outlines a new approach to asset allocation in a post-2008 world, where risk seems hidden
- The "great manager" problem is examined with solutions on how to capture manager alpha while limiting downside risk
- A complete case study is presented that allocates for beta and alpha
Written by an experienced team of industry leaders and academic experts, The New Science of Asset Allocation explains how you can effectively apply this approach to a financial world that continues to change.
Inhalt
Preface xi
Acknowledgments xix
Chapter 1 A Brief History of Asset Allocation 1
In the Beginning 3
A Review of the Capital Asset Pricing Model 4
Asset Pricing in Cash and Derivative Markets 6
Models of Return and Risk Post-1980 11
Asset Allocation in the Modern World 14
Product Development: Yesterday, Today, and Tomorrow 15
Notes 17
Chapter 2 Measuring Risk 20
What is Risk? 22
Traditional Approaches to Risk Measurement 24
Classic Sharpe Ratio 26
Other Measures of Risk Assessment 28
Portfolio Risk Measures 30
Other Measures of Portfolio Risk Measurement 33
Value at Risk 34
Notes 37
Chapter 3 Alpha and Beta, and the Search for a True Measure of Manager Value 39
What is Alpha? 39
Issues in Alpha and Beta Determination 46
Problems in Alpha and Beta Determination 48
Multi-Factor Return Estimation: An Example 50
Tracking Alternatives in Alpha Determination 54
Notes 56
Chapter 4 Asset Classes: What They are and Where to Put Them 58
Overview and Limitations of the Existing Asset Allocation Process 59
Asset Allocation in Traditional and Alternative Investments: A Road Map 61
Historical Return and Risk Attributes and Strategy Allocation 66
Traditional Stock/Bond Allocation versus Multi-Asset Allocation 70
Risk and Return Comparisons Under Differing Historical Time Periods 71
Extreme Market Sensitivity 74
Market Segment or Market Sensitivity: Does It Matter? 82
How New is New? 84
Notes 88
Chapter 5 Strategic, Tactical, and Dynamic Asset Allocation 91
Asset Allocation Optimization Models 92
Strategic Asset Allocation 99
Tactical Asset Allocation 101
Dynamic Asset Allocation 107
Notes 109
Chapter 6 Core and Satellite Investment: Market/Manager Based Alternatives 110
Determining the Appropriate Benchmarks and Groupings 111
Sample Allocations 117
Core Allocation 119
Satellite Investment 120
Algorithmic and Discretionary Aspects of Core/Satellite Exposure 120
Replication Based Indices 122
Peer Group CreationStyle Purity 126
Notes 132
Chapter 7 Sources of Risk and Return in Alternative Investments 134
Asset Class Performance 135
Hedge Funds 139
Managed Futures (Commodity Trading Advisors) 143
Private Equity 148
Real Estate 153
Commodities 160
Notes 166
Chapter 8 Return and Risk Differences among Similar Asset Class Benchmarks 167
Making Sense Out of Traditional Stock and Bond Indices 168
Private Equity 170
Real Estate 173
Alternative REIT Investments Indices 179
Commodity Investment 179
Hedge Funds 185
Investable Manager Based Hedge Fu…