Lückoff | Mutual Fund Performance and Performance Persistence | E-Book | sack.de
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E-Book, Englisch, 588 Seiten, eBook

Reihe: Geld - Banken - Börsen

Lückoff Mutual Fund Performance and Performance Persistence

The Impact of Fund Flows and Manager Changes

E-Book, Englisch, 588 Seiten, eBook

Reihe: Geld - Banken - Börsen

ISBN: 978-3-8349-6527-1
Verlag: Betriebswirtschaftlicher Verlag Gabler
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)



Peter Lückoff investigates why fund flows and manager changes act as equilibrium mechanisms and drive the performance of both previously outperforming and previously underperforming funds back to average levels.

Dr. Peter Lückoff was a research associate at the Center for Finance and Banking at the University of Giessen (Professor Wolfgang Bessler), a junior research fellow at the Pensions Institute of Cass Business School, London, and a visiting research fellow at Exeter University Business School.
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1;Foreword;6
2;Preface;8
3;Contents;10
4;List of Tables;17
5;List of Figures;20
6;Introduction;22
6.1;Motivation and Relevance;22
6.2;Objective and Structure;26
7;Part I Delegated Portfolio Management;32
7.1;1 Institutional Setting;32
7.1.1;1.1 Role of Mutual Funds;34
7.1.2;1.2 Objectives of Investors;43
7.1.2.1;Professional Management;43
7.1.2.2;Diversification;45
7.1.2.3;Liquidity;46
7.1.2.4;Additional Services;46
7.1.3;1.3 Investment Strategies;47
7.1.3.1;1.3.1 Return Predictability and Equilibrium Considerations;47
7.1.3.2;1.3.2 Active versus Passive Investing;54
7.1.3.3;1.3.3 Specific Investment Strategies;60
7.1.3.4;1.3.3.1 Indexing and Enhanced Indexing;60
7.1.3.5;1.3.3.2 Fundamental Indexing;65
7.1.3.6;1.3.3.3 Active Long-Only Strategies;66
7.1.3.7;1.3.3.4 Active Long-Short Strategies;68
7.1.3.8;1.3.3.5 Activist Investors;69
7.1.4;1.4 Organizational Design;71
7.1.4.1;1.4.1 Open-End Funds;74
7.1.4.2;1.4.2 Exchange-Traded Funds;83
7.1.4.3;1.4.3 Retail Structured Products;85
7.1.4.4;1.4.4 Closed-End Funds;88
7.1.4.5;1.4.5 Hedge Funds;89
7.1.4.6;1.4.6 Comparison of Different Structures;91
7.1.5;1.5 Discussion;95
7.2;2 Agency Conflicts;97
7.2.1;2.1 Potential Conflicts of Interest;98
7.2.1.1;2.1.1 Investors and Portfolio Managers 2.1.1.1 Career Concerns and Tournaments Tournament Behavior;100
7.2.1.2;Strategic Interaction and Family Tournaments;103
7.2.1.3;Further Empirical Evidence and Statistical Issues;104
7.2.1.4;2.1.1.2 Herding;105
7.2.1.5;2.1.2 Investors and Investment Management Companies;107
7.2.1.6;2.1.2.1 Distribution Channels and Advertisement Brokers and Financial Advisors;107
7.2.1.7;Advertising Performance;109
7.2.1.8;Changing Names and Pretending Innovation;110
7.2.1.9;2.1.2.2 Fund Families and “Star” Managers Strategically Boosting Fund Performance;111
7.2.1.10;Side-by-Side Management;113
7.2.1.11;Strategically Starting, Merging and Closing Funds;113
7.2.1.12;2.1.2.3 Benchmark Gaming and Performance Manipulation Benchmark Gaming;116
7.2.1.13;Portfolio Pumping;118
7.2.1.14;Window Dressing;119
7.2.1.15;2.1.3 Costs and Potential Third-Party Benefits;120
7.2.1.16;2.1.3.1 Costs;121
7.2.1.17;2.1.3.2 Directed Brokerage and Soft Dollars;122
7.2.1.18;2.1.3.3 Market Timing and Late Trading Market Timing;124
7.2.1.19;Late Trading;125
7.2.1.20;2.1.4 Discussion;126
7.2.2;2.2 Potential Solutions for Reducing Agency Conflicts;127
7.2.2.1;2.2.1 Investment Strategy and Instruments;129
7.2.2.2;2.2.2 External Governance 2.2.2.1 Transparency and Competition;131
7.2.2.3;2.2.2.2 Market-Based Control;133
7.2.2.4;2.2.3 Internal Governance;137
7.2.2.5;2.2.3.1 Fund Board;138
7.2.2.6;2.2.3.2 Manager Changes;140
7.2.2.7;2.2.3.3 Optimal Fund Size;143
7.2.2.8;2.2.4 Incentive Contracts and Ownership Structures;144
7.2.2.9;2.2.4.1 Performance-Based Compensation;144
7.2.2.10;2.2.4.2 Ownership Structures;148
7.2.2.11;2.2.5 Discussion;152
7.3;Part II Investment Performance;154
7.4;3 Performance Measurement;154
7.4.1;3.1 Choice of the Correct Performance Measure;155
7.4.1.1;3.1.1 Asset Class and Investment Strategy;157
7.4.1.2;3.1.2 Existing Portfolio;158
7.4.1.3;3.1.3 Chronological Focus;159
7.4.1.4;3.1.4 Institutional Setting;159
7.4.2;3.2 Ratio-Based Performance Evaluation;160
7.4.2.1;3.2.1 Information Ratio and Sharpe Ratio;161
7.4.2.2;3.2.2 Treynor Ratio;162
7.4.2.3;3.2.3 Ratios for Non-Normally Distributed Returns;162
7.4.3;3.3 Risk-Based Performance Evaluation;165
7.4.3.1;3.3.1 Jensen Model;167
7.4.3.2;3.3.1.1 Benchmark Problem;169
7.4.3.3;3.3.1.2 Time Variability;171
7.4.3.4;3.3.1.3 Statistical Problems;174
7.4.3.5;3.3.2 Multifactor Models;176
7.4.3.6;3.3.2.1 Fama-French Model: Size and Value Effect;176
7.4.3.7;3.3.2.2 Carhart Model: Momentum Effect;178
7.4.3.8;3.3.2.3 Construction of Factor-Mimicking Portfolios;180
7.4.3.9;3.3.3 Timing Models and Conditional Performance Evaluation;184
7.4.4;3.4 Interpretation of Multifactor Models;187
7.4.4.1;3.4.1 Risk-Based Explanations 3.4.1.1 Time-Varying Asset Composition;188
7.4.4.2;3.4.1.2 Macroeconomic Risk, Business Cycle and Default Risk Macroeconomic Risk and the Business Cycle;191
7.4.4.3;Default Risk;192
7.4.4.4;3.4.1.3 Foreign Exchange Risk;193
7.4.4.5;3.4.1.4 Liquidity Risk;193
7.4.4.6;3.4.1.5 Higher Moments and Downside Risk Higher Moments;197
7.4.4.7;Downside Risk;198
7.4.4.8;3.4.1.6 Idiosyncratic Risk;199
7.4.4.9;3.4.2 Behavioral Explanations;201
7.4.4.10;Extrapolation;202
7.4.4.11;Underreaction;202
7.4.4.12;Overreaction;203
7.4.4.13;Overconfidence;203
7.4.4.14;Discussion;204
7.4.4.15;3.4.3 Microstructure Effects;204
7.4.4.16;Transaction Costs;204
7.4.4.17;Short Sale Constraints;206
7.4.4.18;Trading Volume;206
7.4.4.19;Analyst Coverage;207
7.4.4.20;3.4.4 Methodological Issues;207
7.4.4.21;Micro Caps;208
7.4.4.22;Migration;208
7.4.4.23;Delistings;209
7.4.4.24;Industry Effects;210
7.4.4.25;3.4.5 Statistical Issues;210
7.4.4.26;Data Snooping and Estimation Error;211
7.4.4.27;Time Variability;211
7.4.4.28;Spurious Regression;212
7.4.4.29;3.4.6 Discussion;212
7.4.5;3.5 Portfolio-Information-Based Performance Evaluation;213
7.4.5.1;3.5.1 Characteristic-Based Models;215
7.4.5.2;3.5.2 Holdings-Based Models;219
7.4.5.3;3.5.3 Trade-Based Models;221
7.4.6;3.6 Improved Statistical Methods;222
7.4.6.1;3.6.1 Bootstrapping;222
7.4.6.2;3.6.2 Bayesian Approach;223
7.4.6.3;3.6.3 Daily Data;228
7.4.6.4;3.6.4 Controlling for Cross-Correlation;228
7.4.7;3.7 Empirical Results on Active Mutual Funds;229
7.4.7.1;3.7.1 Fund Performance;229
7.4.7.2;3.7.2 Investor Performance;232
7.4.7.3;3.7.3 Implications for Active Mutual Fund Management;235
7.4.8;3.8 Cross-Sectional Performance Determinants;240
7.4.8.1;3.8.1 Managerial Skill and Information-Related Determinants 3.8.1.1 Investment Style Portfolio Turnover;241
7.4.8.2;Active Share;244
7.4.8.3;Portfolio Concentration;244
7.4.8.4;Style Consistency;246
7.4.8.5;3.8.1.2 Information Access Financial Centers and Regional Proximity;246
7.4.8.6;Political Proximity;248
7.4.8.7;Information Networks;248
7.4.8.8;3.8.1.3 Manager Characteristics Education;249
7.4.8.9;Experience;250
7.4.8.10;Gender;250
7.4.8.11;Management Structure;251
7.4.8.12;3.8.2 Cost-Related Determinants;251
7.4.8.13;Fees;252
7.4.8.14;Transaction Costs;253
7.4.8.15;Taxes;255
7.4.8.16;3.8.3 Fund-Related Determinants Fund Size and Fund Family Size;256
7.4.8.17;Fund Age;258
7.4.8.18;Regulatory Environment;259
7.4.9;3.9 Discussion;260
7.5;4 Dynamic Aspects of Mutual Fund Performance;262
7.5.1;4.1 Performance Persistence and Predictability;264
7.5.1.1;4.1.1 Performance Persistence;264
7.5.1.2;Fees;265
7.5.1.3;Stock Return Momentum;265
7.5.1.4;Competition;266
7.5.1.5;Other Predictable Patterns;267
7.5.1.6;4.1.2 Potential Data Biases Survivorship Bias;268
7.5.1.7;Look-Ahead Bias;269
7.5.1.8;Potential Treatment;270
7.5.1.9;4.1.3 Methodological Aspects Test Methodologies;270
7.5.1.10;Ranking Measures;270
7.5.1.11;Evaluation Measures;273
7.5.1.12;4.1.4 Potential Model Biases Investment Style;274
7.5.1.13;Omitted Factors;275
7.5.1.14;4.1.5 Discussion;276
7.5.2;4.2 Performance-Flow Relationship;277
7.5.2.1;4.2.1 Characteristics of Fund Flows;277
7.5.2.2;4.2.2 Performance-Flow Relationship;279
7.5.2.3;Family Effects;280
7.5.2.4;Evidence from Other Investment Products;281
7.5.2.5;4.2.3 Shape of the Performance-Flow Relationship;282
7.5.2.6;Behavioral Issues;283
7.5.2.7;Internal Governance and Strategy Changes;284
7.5.2.8;4.2.4 Impact of Costs and Brokers on Fund Flows Costs;284
7.5.2.9;Clientele Effects;286
7.5.2.10;Broker Advice;289
7.5.2.11;4.2.5 Speed of Reaction;291
7.5.2.12;4.2.6 Evidence from Gross Flows;292
7.5.2.13;Gross Inflows;292
7.5.2.14;Gross Outflows;293
7.5.2.15;Time Period;294
7.5.2.16;4.2.7 Discussion;295
7.5.3;4.3 Fund Flows as Equilibrium Mechanism;296
7.5.3.1;4.3.1 Cash Position Cash Drag;301
7.5.3.2;Unintentional Beta Variation;301
7.5.3.3;4.3.2 Transaction Costs and Distorted Security Selection Transaction Costs;302
7.5.3.4;Distorted Security Selection;304
7.5.3.5;4.3.3 Ownership Price Pressure;306
7.5.3.6;Position Liquidity;308
7.5.3.7;4.3.4 Market Capitalization;309
7.5.3.8;Investment Style;309
7.5.3.9;Asset Liquidity;310
7.5.3.10;Information Advantage;311
7.5.3.11;4.3.5 Portfolio Concentration;311
7.5.3.12;Best Ideas;312
7.5.3.13;Hierarchy Costs;313
7.5.3.14;Fund Family Response;314
7.5.3.15;4.3.6 Discussion;314
7.5.4;4.4 Manager Changes as Equilibrium Mechanisms;316
7.5.4.1;4.4.1 Winner Funds;317
7.5.4.2;4.4.2 Loser Funds;318
7.5.4.3;4.4.3 Empirical Results;319
7.5.4.4;4.4.4 Interaction with Fund Flows;320
7.5.5;4.5 Approaches to Reduce the Detrimental Impact of Flows on Performance;321
7.5.5.1;4.5.1 Redemption Restrictions Lock-up Periods, Redemption Notice Periods and Gates;322
7.5.5.2;4.5.2 Fee Structure Load Fees and Redemption Fees;325
7.5.5.3;Trailer Fees;327
7.5.5.4;Performance Fees and High-Water Marks;327
7.5.5.5;4.5.3 Creation Restrictions Soft Closing;328
7.5.5.6;4.5.4 Trading and Pricing Mechanisms Swing Pricing;329
7.5.5.7;Secondary Market;330
7.5.5.8;Exchange-Traded Funds;333
7.5.5.9;4.5.5 Investment Strategy Derivatives;335
7.5.5.10;Quantitative and Index Funds;338
7.5.5.11;Alternative Benchmark;338
7.5.5.12;4.5.6 Organizational Fund Structure Team-Managed Funds;339
7.5.5.13;Funds of Funds;339
7.5.5.14;Closed-End Funds;341
7.5.5.15;Pension Funds;342
7.5.6;4.6 Discussion;344
8;Part III Empirical Study;346
8.1;5 Objectives, Data and Methodology;346
8.1.1;5.1 Objectives;346
8.1.2;5.2 Data;351
8.1.3;5.3 Methodology;358
8.1.3.1;5.3.1 Ranked Portfolio Test 5.3.1.1 Formation;359
8.1.3.2;5.3.1.2 Evaluation;361
8.1.3.3;5.3.2 Regression Approach;364
8.2;6 Performance Persistence;366
8.2.1;6.1 Research Questions and Hypotheses;366
8.2.2;6.2 Performance and Characteristics of Decile Portfolios;368
8.2.2.1;6.2.1 Characteristics;368
8.2.2.2;6.2.2 Performance;373
8.2.2.3;6.2.3 Alternative Ranking Measures;381
8.2.3;6.3 Performance of Individual Decile Funds;388
8.2.3.1;6.3.1 Objective;388
8.2.3.2;6.3.2 Methodology;390
8.2.3.3;6.3.3 Bayesian Alphas;393
8.2.3.4;6.3.4 Alternative Estimation Methodologies;404
8.2.4;6.4 Alternative Formation and Evaluation Periods;410
8.2.4.1;Raw Returns;411
8.2.4.2;Risk-Adjusted Returns of Decile Portfolios;413
8.2.4.3;Risk-Adjusted Returns of Individual Decile Funds;416
8.2.4.4;Discussion;418
8.2.5;6.5 Migration;419
8.3;7 Fund Flows and Manager Changes as Equilibrium Mechanisms;428
8.3.1;7.1 Research Questions and Hypotheses;428
8.3.1.1;7.1.1 Winner Funds;429
8.3.1.2;7.1.2 Loser Funds;433
8.3.2;7.2 Methodology;435
8.3.2.1;7.2.1 Portfolio Formation;435
8.3.2.2;7.2.2 Specification of Multifactor Models;438
8.3.3;7.3 Winner Funds;441
8.3.3.1;7.3.1 Single sorting;441
8.3.3.2;7.3.2 Double sorting;453
8.3.4;7.4 Loser Funds;458
8.3.4.1;7.4.1 Single Sorting;458
8.3.4.2;7.4.2 Double Sorting;472
8.3.5;7.5 Winner-Minus-Loser Spread;478
8.3.6;7.6 Before-Fee Analysis;481
8.3.7;7.7 Regression Analysis;487
8.3.7.1;7.7.1 Model Specification;487
8.3.7.2;7.7.2 Results;489
8.3.8;7.8 Discussion;491
8.4;8 Time Effects, Extreme Flows and Capacity Constraints;495
8.4.1;8.1 Research Questions and Hypotheses;495
8.4.2;8.2 Alternative Formation and Evaluation Periods;499
8.4.2.1;8.2.1 Winner Funds;499
8.4.2.2;8.2.2 Loser Funds;503
8.4.3;8.3 Extreme Fund Flows and Fund Size;505
8.4.3.1;8.3.1 Portfolio Formation;505
8.4.3.2;8.3.2 Winner Funds;506
8.4.3.3;8.3.3 Loser Funds;512
8.4.4;8.4 Interaction of Fund Flows and Fund Size;516
8.4.4.1;8.4.1 Portfolio Formation;516
8.4.4.2;8.4.2 Winner Funds;517
8.4.4.3;8.4.3 Loser Funds;522
9;Conclusion and Outlook;526
9.1;Summary of the Results;526
9.2;Conclusions and Outlook;535
10;A Appendix;543
10.1;A.1 Factor-Mimicking Portfolios;543
10.2;A.2 Sample Selection;545
10.3;A.3 Alternative Estimation Methodologies;546
10.4;A.4 Alternative Formation and Evaluation Periods;547
10.4.1;A.4.1 Winner Funds;547
10.4.2;Absolute-Fund-Flows Sorting;547
10.4.3;Relative-Fund-Flows Sorting;549
10.4.4;A.4.2 Loser Funds;549
10.4.5;Absolute-Fund-Flows Sorting;549
10.4.6;Relative-Fund-Flows Sorting;551
10.5;A.5 Extreme Fund Flows and Fund Size;554
10.5.1;A.5.1 Winner Funds Absolute-Fund-Flows Sorting;554
10.5.2;Relative-Fund-Flows Sorting;556
10.5.3;Fund-Size Sorting;556
10.5.4;Factor Loadings;557
10.5.5;A.5.2 Loser Funds Absolute-Fund-Flows Sorting;559
10.5.6;Relative-Fund-Flows Sorting;561
10.5.7;Fund-Size Sorting;562
10.5.8;Factor Loadings;563
10.6;A.6 Interaction of Fund Flows and Fund Size;565
11;Bibliography;567


Dr. Peter Lückoff was a research associate at the Center for Finance and Banking at the University of Giessen (Professor Wolfgang Bessler), a junior research fellow at the Pensions Institute of Cass Business School, London, and a visiting research fellow at Exeter University Business School.


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