Thomas Schneeweis – The New Science of Asset Allocation

Description

A possible asset allocation framework for the submit 2008 monetary world
Asset allocation has lengthy been a cornerstone of prudent funding administration; nonetheless, conventional allocation plans failed traders miserably in 2008. Asset allocation nonetheless stays a necessary half of the funding enviornment, and thru a brand new method, you’ll uncover learn how to make it work.
In The New Science of Asset Allocation, authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first discover the myths that plague this area then shortly transfer on to look at how the follow of asset allocation has failed in recent times. They then suggest new allocation fashions that make use of liquidity, transparency, and actual danger controls throughout a number of asset lessons.
Outlines a brand new method to asset allocation in a post-2008 world, the place danger appears hidden
The “great manager” drawback is examined with options on learn how to seize supervisor alpha whereas limiting draw back danger
A whole case examine is offered that allocates for beta and alpha
Written by an skilled staff of business leaders and educational specialists, The New Science of Asset Allocation explains how one can successfully apply this method to a monetary world that continues to alter.
Table of Contents
Preface.
Acknowledgments.
Chapter 1 A Brief History of Asset Allocation.
In the Beginning.
A Review of the Capital Asset Pricing Model.
Asset Pricing in Cash and Derivative Markets.
Models of Return and Risk Post-1980.
Asset Allocation within the Modern World.
Product Development: Yesterday, Today, and Tomorrow.
Notes.
Chapter 2 Measuring Risk.
What Is Risk?
Traditional Approaches to Risk Measurement.
Classic Sharpe Ratio.
Other Measures of Risk Assessment.
Portfolio Risk Measures.
Other Measures of Portfolio Risk Measurement.
Value at Risk.
Notes.
Chapter 3 Alpha and Beta, and the Search for a True Measure of Manager Value.
What Is Alpha?
Issues in Alpha and Beta Determination.
Problems in Alpha and Beta Determination.
Multi-Factor Return Estimation: An Example.
Tracking Alternatives in Alpha Determination.
Notes.
Chapter 4 Asset Classes: What They Are And Where To Put Them.
Overview and Limitations of the Existing Asset Allocation Process.
Asset Allocation in Traditional and Alternative Investments: A Road Map.
Historical Return and Risk Attributes and Strategy Allocation.
Traditional Stock/Bond Allocation versus Multi-Asset Allocation.
Risk and Return Comparisons Under Differing Historical Time Periods.
Extreme Market Sensitivity.
Market Segment or Market Sensitivity: Does It Matter?
How New Is New?
Notes.
Chapter 5 Strategic, Tactical, and Dynamic Asset Allocation.
Asset Allocation Optimization Models.
Strategic Asset Allocation.
Tactical Asset Allocation.
Dynamic Asset Allocation.
Notes.
Chapter 6 Core and Satellite Investment: Market/Manager Based Alternatives.
Determining the Appropriate Benchmarks and Groupings.
Sample Allocations.
Core Allocation.
Satellite Investment.
Algorithmic and Discretionary Aspects of Core/Satellite Exposure.
Replication Based Indices.
Peer Group Creation – Style Purity.
Notes.
Chapter 7 Sources of Risk and Return in Alternative Investments.
Asset Class Performance.
Hedge Funds.
Managed Futures (Commodity Trading Advisors).
Private Equity.
Real Estate.
Commodities.
Notes.
Chapter 8 Return and Risk Differences amongst Similar Asset Class Benchmarks.
Making Sense Out of Traditional Stock and Bond Indices.
Private Equity.
Real Estate.
Alternative REIT Investments Indices.
Commodity Investment.
Hedge Funds.
Investable Manager Based Hedge Fund Indices.
CTA Investment.
Index versus Fund Investment: A Hedge Fund Example.
Notes.
Chapter 9 Risk Budgeting and Asset Allocation.
Process of Risk Management: Multi-Factor Approach.
Process of Risk Management: Volatility Target.
Risk Decomposition of Portfolio.
Risk Management Using Futures.
Risk Management Using Options.
Covered Call.
Long Collar.
Notes.
Chapter 10 Myths of Asset Allocation.
Investor Attitudes, not Economic Information, Drive Asset Values.
Diversification Across Domestic or International Equity Securities is Sufficient.
Historical Security and Index Performance Provides a Simple Means to Forecast Future Excess Risk-Adjusted Returns.
Recent Manager Fund Return Performance Provides the Best Forecast of Future Return.
Superior Managers or Superior Investment Ideas Do Not Exist.
Performance Analytics Provide a Complete Means to Determine Better Performing Managers.
Traditional Assets Reflect “Actual Values” Better Than Alternative Investments.
Stock and Bond Investment Means Investors Have No Derivatives Exposure.
Stock and Bond Investment Removes Investor Concerns as to Leverage.
Given the Efficiency of the Stock and Bond Markets, Managers Provide No Useful Service.
Investors Can Rely on Academics and Investment Professionals to Provide Current Investment Models and Theories.
Alternative Assets Are Riskier Than Equity and Fixed Income Securities.
Alternative Assets Such as Hedge Funds Are Absolute Return Vehicles.
Alternative Investments Such as Hedge Funds Are Unique in Their Investment Strategies.
Hedge Funds Are Black Box Trading Systems Unintelligible to Investors.
Hedge Funds Are Traders, Not Investment Managers.
Alternative Investment Strategies Are So Unique That They Cannot be Replicated.
It Makes Little Difference Which Traditional or Alternative Indices Are Used in an Asset Allocation Model.
Modern Portfolio Theory Is Too Simplistic to Deal with Private Equity, Real Estate, and Hedge Funds.
Notes.
Chapter 11 The Importance of Discretion in Asset Allocation Decisions.
The Why and Wherefore of Asset Allocation Models.
Value of Manager Discretion.
Manager Evaluation and Review: The Due Diligence Process.
Madoff: Due Diligence Gone Wrong or Never Conducted.
Notes.
Chapter 12 Asset Allocation: Where Is It Headed?
An Uncertain Future.
What Is the Definition of Order?
Costs and Benefits.
Today’s Issue.
Possible Governmental and Private Fund Responses to Current Market Concerns.
Note.
Appendix: Risk and Return of Asset Classes and Risk Factors Through Business Cycles.
Glossary: Asset Class Benchmarks.
Bibliography.
About the Authors.
Index.
Author Information
Thomas Schneeweis, PhD, is the Michael and Cheryl Philipp Professor of Finance on the University of Massachusetts, Amherst and is the founding director of the Center for International Securities and Derivatives Markets. He can also be 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 virtually forty years of funding administration expertise, he has been related to the event of alpha switch and fund replication merchandise, the creation and growth of the Zurich Hedge Fund Indices and the Dow Jones Hedge Fund Benchmark Series, in addition to being instrumental within the creation of the Bache Commodity Index. Schneeweis publishes broadly within the space of funding administration and is usually quoted within the monetary press.
Garry B. Crowder, JD, MBA, is a famous knowledgeable within the growth and creation of multi-asset portfolio options and merchandise. He has designed and applied asset allocation options for main multinational banks, insurance coverage firms, and household places of work. Crowder created and was managing companion of one of the primary and largest hedge fund platforms primarily based on managed accounts. In this capability, he shaped and led the staff that created the Zurich Hedge Fund Indices and the Dow Jones Hedge Fund Benchmark Series. With over twenty years of funding expertise, he’s a founding Director of the Institute for Global Asset and Risk Management and has additionally served in managing director positions at Morgan Stanley Asset Management and Tiger Management LLC.
Hossein Kazemi, PhD, CFA, is thought to be a pacesetter within the space of asset allocation, and has revealed over thirty educational and practitioner articles within the space of asset pricing and asset allocation. He is a founding companion of Alternative Investment Analytics, LLC, and White Bear Partners, LLC. Kazemi is a professor of finance on the University of Massachusetts, Amherst and is the Associate Director of the Center for International Securities and Derivatives Markets. He is the present Program Director of the Chartered Alternative Analyst Investment Association.