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Managed futures for institutional investors : analysis and portfolio construction

Managed futures for institutional investors : analysis and portfolio construction

자료유형
단행본
개인저자
Burghardt, Galen. Walls, Brian.
서명 / 저자사항
Managed futures for institutional investors : analysis and portfolio construction / Galen Burghardt, Brian Walls.
발행사항
Hoboken, N.J. :   Bloomberg Press,   c2011.  
형태사항
xiv, 351 p. : ill. ; 24 cm.
총서사항
Bloomberg financial series
ISBN
9781576603741 (cloth) 1576603741 (cloth)
서지주기
Includes bibliographical references and index.
일반주제명
Futures. Portfolio management. Institutional investors.
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010 ▼a 2010048911
020 ▼a 9781576603741 (cloth)
020 ▼a 1576603741 (cloth)
035 ▼a (KERIS)REF000016715077
040 ▼a DLC ▼c DLC ▼d YDX ▼d YDXCP ▼d BWX ▼d DLC ▼d 211009
050 0 0 ▼a HG6024.A3 ▼b B88 2011
082 0 0 ▼a 332.64/52 ▼2 23
084 ▼a 332.6452 ▼2 DDCK
090 ▼a 332.6452 ▼b B956m
100 1 ▼a Burghardt, Galen.
245 1 0 ▼a Managed futures for institutional investors : ▼b analysis and portfolio construction / ▼c Galen Burghardt, Brian Walls.
260 ▼a Hoboken, N.J. : ▼b Bloomberg Press, ▼c c2011.
300 ▼a xiv, 351 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Bloomberg financial series
504 ▼a Includes bibliographical references and index.
650 0 ▼a Futures.
650 0 ▼a Portfolio management.
650 0 ▼a Institutional investors.
700 1 ▼a Walls, Brian.
830 0 ▼a Bloomberg financial series.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 332.6452 B956m 등록번호 121229281 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Acknowledgments.

Introduction: Why Invest in CTAs?

What Kind of Hedge Fund is a CTA?

Why Do CTAs Make Money?

How Much Should You Invest?

What About the Risks?

They're a Good Fit for Institutional Investors.

How the Book is Structured.

Part I: A Practical Guide to the Industry.

Chapter 1 Understanding Returns.

Risk and Cash Management.

Trading, Funding, and Notional Levels.

The Stability of Return Volatilities.

Basic Futures Mechanics.

A Typical Futures Portfolio.

Chapter 2 Where Are the Data?

The CTA Universe and Your Range of Choices.

The Fluid Composition of a Database.

How Backfilled Data Can Mislead.

Trading Programs and Lengths of Track Records.

Returns Net of Fees and Share Classes.

Sources of Data for Indexes of CTA Performance.

Chapter 3 Structuring Your Investment: Frequently Asked Questions.

How Many Managers Should You Choose?

What are CTA Funds?

What are Multi-CTA Funds?

What are Managed Accounts?

What are Platforms?

How Do You Compare and Contrast These Offerings?

Who Regulates CTAs?

How are Structured Notes and Total Return Swaps Used by CTA Investors?

What Are the Account Opening Procedures for a Managed Account?

What is the Minimum Investment in a CTA?

What Does It Mean When a Manager is Closed?

What Are the Subscription Procedures for a Fund?

Conclusion.

Part II: Building Blocks.

Chapter 4 How Trend Following Works.

The Two Basic Strategies.

Making the Systems Work in Practice.

Transactions Costs.

Other Considerations.

Case Study: Two Models from 1994–2003.

Rates of Return and Leverage.

Commodities and Capacity Constraints.

Market Environment and Give Backs.

Chapter 5 Two Benchmarks for Momentum Trading.

Data and the Trend Following Sub-Index.

Trend Following Models.

Laying the Groundwork for Analyzing Returns to Trend Following.

Constructing a Portfolio.

Simplifying Assumptions.

How Did the Models Do?

The Newedge Trend Indicator.

Next Steps.

Chapter 6 The Value of Daily Return Data.

How Good Are Daily Data?

Estimating Return Volatility.

Distributions of Estimated Volatility.

Beware a False Sense of Confidence.

What if Underlying Returns are Highly Skewed?

Effect on Drawdown Distributions.

Chapter 7 Every Drought Ends in a Rainstorm: Mean Reversion, Momentum, or Serial Independence?

The Costs of Being Wrong about Timing Investments Can Be Substantial.

The Data.

The Test Tally.

Test for Serial Dependence: Autocorrelation.

Test for Serial Dependence: Runs.

Conditional Return Distributions.

Conclusion.

Chapter 8 Understanding Drawdowns.

Drawdown Defined.

What Should They Look Like?

What Forces Shape the Distributions?

The Distribution of all Drawdowns.

The Distribution of Maximum Drawdowns.

The Core Drawdown Function.

Empirical Drawdown Distributions.

Reconciling Theoretical and Empirical Distributions.

Putting a Manager’s Experience in Perspective.

What about Future Drawdowns?

Further Questions.

Chapter 9 How Stock Price Volatility Affects Returns.

A Look at Historical Returns.

Stock Price Volatility and Returns on the S&P 500.

S&P 500 Volatility Dominates Market Volatility.

CTA Returns, Correlations, and Volatility.

Conclusion.

Chapter 10 The Costs of Active Management.

Forgone Loss Carry Forward.

Liquidation and Reinvestment.

Other Costs.

Conclusion.

Chapter 11 Measuring Market Impact and Liquidity.

A Very Fat Data Set.

A Representative Market Maker.

Fitting the Curve to the Data.

Hidden Liquidity.

Estimating the Risk Aversion Parameter.

Volume, Volatility, and Market Impact Profiles.

Where Do We Go from Here?

Appendix.

Part III: Portfolio Construction.

Chapter 12 Superstars versus Teamwork.

The Contribution of Low Correlation to Portfolio Performance.

How Reliable Are Correlation Estimates?

The Contest.

Dropping and Adding Managers.

The Value of Incremental Knowledge about Return Distributions.

The Costs of Dropping and Adding Managers.

Chapter 13 A New Look at Constructing Teamwork Portfolios.

Why Look Back?

A Fresh Look at the Original Research.

Two New Approaches.

Comparing the Four Approaches.

Reviewing the Results.

Chapter 14 Correlations and Holding Periods:  The Research Basis for the Newedge AlternativeEdge® Short-Term Traders Index.

Review of Previous Research.

Index Methodology and Construction

How Low are the Correlations?

Why Are the Correlations Low?

Holding Period and Return Correlation

Why Are There Not More Short-term Traders?

Replicating the Index.

Cautions and Managing the index.

Conclusion.

Appendix.

Chapter 15 “There Are Known Unknowns”:  The Drag of Imperfect Estimates.

Improving Risk Adjusted Returns.

Throwing Out the Losers.

Due Diligence and Evaluation.

Bibliography.

About the Authors.

Index.


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