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Whether you are a seasoned professional looking to explore new areas within the alternative investment arena or a new industry participant seeking to establish a solid understanding of alternative investments, Alternative Investments: An Allocator's Approach, Fourth Edition (CAIA Level II curriculum official text) is the best way to achieve these goals.
In recent years, capital formation has shifted dramatically away from public markets as issuers pursue better financial and value alignment with ownership, less onerous and expensive regulatory requirements, market and information dislocation, and liberation from the short-term challenges that undergird the public capital markets. The careful and informed use of alternative investments in a diversified portfolio can reduce risk, lower volatility, and improve returns over the long-term, enhancing investors' ability to meet their investment outcomes. Alternative Investments: An Allocator's Approach (CAIA Level II curriculum official text) is a key resource that can be used to improve the sophistication of asset owners and those who work with them.
This text comprises the curriculum, when combined with supplemental materials available at caia.org, for the CAIA Level II exam.
"Over the course of my long career one tenet has held true, 'Continuing Education'. Since CalSTRS is a teachers' pension plan, it is no surprise that continuing education is a core attribute of our Investment Office culture. Overseeing one of the largest institutional pools of capital in the world requires a cohesive knowledge and understanding of both public and private market investments and strategies. We must understand how these opportunities might contribute to delivering on investment outcomes for our beneficiaries. Alternative Investments: An Allocator's Approach is the definitive core instruction manual for an institutional investor, and it puts you in the captain's chair of the asset owner."
--Christopher J. Ailman, Chief Investment Officer, California State Teachers' Retirement System
"Given their diversified cash flow streams and returns, private markets continue to be a growing fixture of patient, long-term portfolios. As such, the need to have proficiency across these sophisticated strategies, asset classes, and instruments is critical for today's capital allocator. As a proud CAIA charterholder, I have seen the practical benefits in building a strong private markets foundation, allowing me to better assist my clients."
--Jayne Bok, CAIA, CFA, Head of Investments, Asia, Willis Tower Watson
In recent years, capital formation has shifted dramatically away from public markets as issuers pursue better financial and value alignment with ownership, less onerous and expensive regulatory requirements, market and information dislocation, and liberation from the short-term challenges that undergird the public capital markets. The careful and informed use of alternative investments in a diversified portfolio can reduce risk, lower volatility, and improve returns over the long-term, enhancing investors' ability to meet their investment outcomes. Alternative Investments: An Allocator's Approach (CAIA Level II curriculum official text) is a key resource that can be used to improve the sophistication of asset owners and those who work with them.
This text comprises the curriculum, when combined with supplemental materials available at caia.org, for the CAIA Level II exam.
"Over the course of my long career one tenet has held true, 'Continuing Education'. Since CalSTRS is a teachers' pension plan, it is no surprise that continuing education is a core attribute of our Investment Office culture. Overseeing one of the largest institutional pools of capital in the world requires a cohesive knowledge and understanding of both public and private market investments and strategies. We must understand how these opportunities might contribute to delivering on investment outcomes for our beneficiaries. Alternative Investments: An Allocator's Approach is the definitive core instruction manual for an institutional investor, and it puts you in the captain's chair of the asset owner."
--Christopher J. Ailman, Chief Investment Officer, California State Teachers' Retirement System
"Given their diversified cash flow streams and returns, private markets continue to be a growing fixture of patient, long-term portfolios. As such, the need to have proficiency across these sophisticated strategies, asset classes, and instruments is critical for today's capital allocator. As a proud CAIA charterholder, I have seen the practical benefits in building a strong private markets foundation, allowing me to better assist my clients."
--Jayne Bok, CAIA, CFA, Head of Investments, Asia, Willis Tower Watson
Whether you are a seasoned professional looking to explore new areas within the alternative investment arena or a new industry participant seeking to establish a solid understanding of alternative investments, Alternative Investments: An Allocator's Approach, Fourth Edition (CAIA Level II curriculum official text) is the best way to achieve these goals.
In recent years, capital formation has shifted dramatically away from public markets as issuers pursue better financial and value alignment with ownership, less onerous and expensive regulatory requirements, market and information dislocation, and liberation from the short-term challenges that undergird the public capital markets. The careful and informed use of alternative investments in a diversified portfolio can reduce risk, lower volatility, and improve returns over the long-term, enhancing investors' ability to meet their investment outcomes. Alternative Investments: An Allocator's Approach (CAIA Level II curriculum official text) is a key resource that can be used to improve the sophistication of asset owners and those who work with them.
This text comprises the curriculum, when combined with supplemental materials available at caia.org, for the CAIA Level II exam.
"Over the course of my long career one tenet has held true, 'Continuing Education'. Since CalSTRS is a teachers' pension plan, it is no surprise that continuing education is a core attribute of our Investment Office culture. Overseeing one of the largest institutional pools of capital in the world requires a cohesive knowledge and understanding of both public and private market investments and strategies. We must understand how these opportunities might contribute to delivering on investment outcomes for our beneficiaries. Alternative Investments: An Allocator's Approach is the definitive core instruction manual for an institutional investor, and it puts you in the captain's chair of the asset owner."
--Christopher J. Ailman, Chief Investment Officer, California State Teachers' Retirement System
"Given their diversified cash flow streams and returns, private markets continue to be a growing fixture of patient, long-term portfolios. As such, the need to have proficiency across these sophisticated strategies, asset classes, and instruments is critical for today's capital allocator. As a proud CAIA charterholder, I have seen the practical benefits in building a strong private markets foundation, allowing me to better assist my clients."
--Jayne Bok, CAIA, CFA, Head of Investments, Asia, Willis Tower Watson
In recent years, capital formation has shifted dramatically away from public markets as issuers pursue better financial and value alignment with ownership, less onerous and expensive regulatory requirements, market and information dislocation, and liberation from the short-term challenges that undergird the public capital markets. The careful and informed use of alternative investments in a diversified portfolio can reduce risk, lower volatility, and improve returns over the long-term, enhancing investors' ability to meet their investment outcomes. Alternative Investments: An Allocator's Approach (CAIA Level II curriculum official text) is a key resource that can be used to improve the sophistication of asset owners and those who work with them.
This text comprises the curriculum, when combined with supplemental materials available at caia.org, for the CAIA Level II exam.
"Over the course of my long career one tenet has held true, 'Continuing Education'. Since CalSTRS is a teachers' pension plan, it is no surprise that continuing education is a core attribute of our Investment Office culture. Overseeing one of the largest institutional pools of capital in the world requires a cohesive knowledge and understanding of both public and private market investments and strategies. We must understand how these opportunities might contribute to delivering on investment outcomes for our beneficiaries. Alternative Investments: An Allocator's Approach is the definitive core instruction manual for an institutional investor, and it puts you in the captain's chair of the asset owner."
--Christopher J. Ailman, Chief Investment Officer, California State Teachers' Retirement System
"Given their diversified cash flow streams and returns, private markets continue to be a growing fixture of patient, long-term portfolios. As such, the need to have proficiency across these sophisticated strategies, asset classes, and instruments is critical for today's capital allocator. As a proud CAIA charterholder, I have seen the practical benefits in building a strong private markets foundation, allowing me to better assist my clients."
--Jayne Bok, CAIA, CFA, Head of Investments, Asia, Willis Tower Watson
Über den Autor
DR. DONALD R. CHAMBERS, PhD, CAIA, is Associate Director of Programs at the CAIA Association; Chief Investment Officer of Biltmore Capital Advisors and Emeritus Professor at Lafayette College in Easton, Pennsylvania. Dr. Chambers previously served as Director of Alternative Investments at Karpus Investment Management. He is a member of the editorial board of The Journal of Alternative Investments.
DR. HOSSEIN KAZEMI, PhD, is a senior adviser to the CAIA Association. He is the Michael and Cheryl Philipp Professor of Finance at the University of Massachusetts, Amherst; Director of the Center for International Securities and Derivatives Markets; a cofounder of the CAIA Association; and Editor-in-Chief of The Journal of Alternative Investments--the official publication of the CAIA Association and a member of the editorial board of The Journal of Financial Data Science.
DR. KEITH H. BLACK, PhD, CAIA, FDP, is the Managing Director of Content Strategy at the CAIA Association. He was previously an associate at Ennis Knupp and, before that, an assistant professor at Illinois Institute of Technology. He is a member of the editorial board of The Journal of Alternative Investments.
Inhaltsverzeichnis
Preface xxxix
Acknowlegements xli
About the Authors xlv
Part 1 Ethics Regulations and ESG
Chapter 1 Asset Manager Code 3
1.1 General Principles of Conduct 3
1.2 Asset Manager Code 3
1.3 Notification of Compliance 5
1.4 Additional Guidance for the Asset Manager Code 6
Chapter 2 Recommendations and Guidance 11
Chapter 3 Global Regulation 27
3.1 Overview of Financial Market Regulation 27
3.2 Regulation of Alternative Investments Within the United States 28
3.3 Alternative Investment Regulation in Europe 38
3.4 Hedge Fund Regulation in Asia 45
Chapter 4 ESG and Alternative Investments 49
4.1 Background on ESG and Alternative Investing 49
4.2 ESG and Real Assets: Natural Resources 51
4.3 ESG and Real Assets: Commodities 53
4.4 ESG and Real Assets: Real Estate 55
4.5 ESG and Hedge Funds 61
4.6 ESG and Private Equity 66
Chapter 5 ESG Analysis and Application 71
5.1 Background on ESG 71
5.2 ESG Ratings and Scores 73
5.3 ESG Materiality and Disclosure 74
5.4 The United Nations Role in ESG Issues 76
5.5 ESG Fiduciary Responsibilities and Regulation 78
5.6 Methods of ESG Investing 80
5.7 Market-Based Methods of Addressing ESG Issues 85
5.8 ESG and Special Investment Consideration 87
Part 2 Models
Chapter 6 Modeling Overview and Interest Rate Models 93
6.1 Types of Models Underlying Investment Strategies 93
6.2 Equilibrium Fixed-Income Models 96
6.3 Arbitrage-Free Models of the Term Structure 99
6.4 The Black-Derman-Toy Model 100
6.5 P-Measures and Q-Measures 103
Chapter 7 Credit Risk Models 105
7.1 The Economics of Credit Risk 105
7.2 Overview of Credit Risk Modeling 109
7.3 The Merton Model 110
7.4 Other Structural Models: KMV 117
7.5 Reduced-Form Models 120
7.6 Empirical Credit Models 123
Chapter 8 Multi-Factor Equity Pricing Models 127
8.1 Multi-Factor Asset Pricing Models 127
8.2 FAMA-French Models 131
8.3 Three Challenges of Empirical Multi-Factor Models 133
8.4 Factor Investing 135
8.5 The Adaptive Markets Hypothesis 141
8.6 Time-Varying Volatility 142
8.7 Stochastic Discount Factors 143
8.8 Summary of Multiple-Factor Asset Allocation 145
Chapter 9 Asset Allocation Processes and the Mean-Variance Model 147
9.1 Asset Allocation Processes and the Mean-Variance Model 147
9.2 Implementation of Mean-Variance Optimization 155
9.3 Mean-Variance Optimization with Multiple Risky Assets 160
9.4 Mean-Variance Optimization and Hurdle Rates 162
9.5 Issues in Using Optimization for Portfolio Selection 163
9.6 Adjustment of the Mean-Variance Approach for Illiquidity 166
9.7 Adjustment of the Mean-Variance Approach for Factor Exposure 168
9.8 Mitigating Estimation Error Risk in Mean-Variance Optimization 168
Chapter 10 Other Asset Allocation Approaches 175
10.1 The Core-Satellite Approach 175
10.2 Top-Down and Bottom-Up Asset Allocation Approaches 176
10.3 Risk Budgeting 178
10.4 A Factor-Based Example of Implementing A Risk Budgeting Approach 181
10.5 Risk Parity 183
10.6 Other Quantitative Portfolio Allocation Strategies 189
10.7 The New Investment Model 193
Part 3 Institutional Asset Owners and Investment Policies
Chapter 11 Types of Asset Owners and the Investment Policy Statement 197
11.1 Endowments and Foundations 197
11.2 Pension Funds 198
11.3 Sovereign Wealth Funds 199
11.4 Family Offices 199
11.5 Strategic Asset Allocation: Risk and Return 199
11.6 Asset Allocation Objectives 202
11.7 Investment Policy Constraints 202
11.8 Investment Policy Statements for Institutional Asset Owners 204
Chapter 12 Foundations and the Endowment Model 221
12.1 Defining Endowments and Foundations 221
12.2 Intergenerational Equity, Inflation, and Spending Challenges 224
12.3 The Endowment Model 226
12.4 Why Might Large Endowments Outperform? 228
12.5 Risks of the Endowment Model 234
12.6 Liquidity Rebalancing and Tactical Asset Allocation 239
12.7 Tail Risk 240
12.8 Conclusion 242
Chapter 13 Pension Fund Portfolio Management 245
13.1 Development, Motivations, and Types of Pension Plans 245
13.2 Risk Tolerance and Asset Allocation 247
13.3 Defined Benefit Plans 251
13.4 Governmental Social Security Plans 258
13.5 Contrasting Defined Benefit and Contribution Plans 259
13.6 Annuities for Retirement Income 262
13.7 Conclusion 266
Chapter 14 Sovereign Wealth Funds 269
14.1 Sources of Sovereign Wealth 269
14.2 Four Types of Sovereign Wealth Funds 272
14.3 Establishment and Management of Sovereign Wealth Funds 274
14.4 Governance and Political Risks of SWFs 277
14.5 Analysis of Three Sovereign Wealth Funds 279
14.6 Conclusion 282
Chapter 15 Family Offices and the Family Office Model 285
15.1 Identifying Family Offices 285
15.2 Goals, Benefits, and Business Models of Family Offices 286
15.3 Family Office Goals by Generations 290
15.4 Macroeconomic Exposures of Family Offices 295
15.5 Income Taxes of Family Offices 297
15.6 Lifestyle Assets of Family Offices 300
15.7 Family Office Governance 304
15.8 Charity, Philanthropy, and Impact Investing 307
15.9 Ten Competitive Advantages of Family Offices 310
Part 4 Risk and Risk Management
Chapter 16 Cases in Tail Risk 315
16.1 Problems Driven by Market Losses 315
16.2 Trading Technology and Financial Crises 324
16.3 Failures Driven by Fraud 326
16.4 Four Major lessons From cases in Tail Events 334
Chapter 17 Benchmarking and Performance Attribution 337
17.1 Benchmarking and Performance Attribution Overview 337
17.2 Single-Factor Benchmarking and Performance Attribution 340
17.3 Multi-Factor Benchmarking 344
17.4 Distinctions Regarding Alternative Asset Benchmarking 346
17.5 Benchmarking of Commodities 348
17.6 Three Approaches to Benchmarking Managed Futures Funds 351
17.7 Benchmarking Private Equity Funds 352
17.8 Group Peer Returns as Benchmarks 357
17.9 Benchmarking Real Estate 358
Chapter 18 Liquidity and Funding Risks 363
18.1 Margin Accounts and Collateral Management 363
18.2 Value at Risk for Managed Futures 367
18.3 Other Methods of Estimating Liquidity Needs 369
18.4 Smoothed Returns on Illiquid Funds 373
18.5 Modeling Price and Return Smoothing 375
18.6 Unsmoothing a Hypothetical Return Series 378
18.7 Unsmoothing Actual Real Estate Return Data 380
Chapter 19 Hedging, Rebalancing, and Monitoring 389
19.1 Managing Alpha and Systematic Risk 389
19.2 Managing the Risk of a Portfolio with Options 391
19.3 Delta-Hedging of Option Positions 394
19.4 Three Key Observations on Delta-Hedging 399
19.5 Three Observations on Rebalancing Delta-Neutral Option Portfolios 400
19.6 Rebalancing Portfolios with Directional Exposures 401
19.7 Mean-Reversion and Diversification Return 407
19.8 Investment Monitoring 409
Chapter 20 Risk Measurement, Risk Management, and Risk Systems 413
20.1 Overview of Risk Measurement and Aggregation 413
20.2 Categories of Information to be Considered 422
20.3 Risk Measurement with Daily Frequency of Data Collection 424
20.4 Risk Measurement with Weekly Frequency of Data Collection 425
20.5 Risk Measurement with Monthly Frequency of Data Collection 426
20.6 Risk Measurement with Quarterly Frequency of Data Collection 427
20.7 Risk Measurement with Annual Frequency of Data Collection or Rolling Time Periods 427
20.8 Cybersecurity for Fund Managers 429
20.9 Risk Management Structure and Process 432
Part 5 Methods for Alternative Investing
Chapter 21 Valuation and Hedging Using Binomial Trees 439
21.1 A One-Period Binomial Tree and Risk-Neutral Modeling 439
21.2 Multi-Period Binomial Trees, Values, and Mean Rates 442
21.3 Valuation of Convertible Securities with a Binomial Tree Model 445
21.4 Valuing Callable Bonds with a Tree Model 452
21.5 Tree Models, Visualization, and Two Benefits to Spreadsheets 458
Chapter 22 Directional Strategies and Methods 459
22.1 Efficiently Inefficient Markets 459
22.2 Technical Directional Strategies Overview 460
22.3 Fundamental Directional Strategies 467
22.4 Directional Strategies and Behavioral Finance 473
22.5 Directional Trading and Factors 476
Chapter 23 Multivariate Empirical Methods and Performance Persistence 479
23.1 Statistical Factors and Principal Component Analysis 479
23.2 Multi-Factor Models and Regression 483
23.3 Partial Autocorrelations and Regression 485
23.4 Three Dynamic Risk Exposure Models 487
23.5 Two Approaches to Modeling Changing Correlation 489
23.6 Four Multi-Factor Approaches to Understanding Returns 493
23.7 Evidence on Fund Performance Persistence 496
Chapter 24 Relative Value Methods 499
24.1 Overview of Relative Value Methods 499
24.2 Types of Pairs Trading and the Four Typical Steps 502
24.3 Statistical Pairs Trading of Equities 503
24.4 Pairs Trading in Commodity Markets Based on Spreads 506
Chapter 25 Valuation Methods for Private Assets: The Case of Real Estate 519
25.1 Depreciation Tax Shields 519
25.2 Deferral of Taxation of Gains 522
25.3 Comparing After-Tax Returns for Various Taxation Scenarios 524
25.4 Transaction-Based Indices: Repeat-Sales 529
25.5 Transaction-Based Indices: Hedonic 532
25.6 Sample Bias and the Repeat-Sales and Hedonic-Price Methods 535
25.7 Appraisal-Based Indices 536
25.8 Noisy Pricing 537
Part 6 Accessing Alternative Investments
Chapter 26 Hedge Fund Replication 543
26.1 An Overview of Replication Products 543
26.2 Potential Benefits of Replication Products 544
26.3 The Case for Hedge Fund Replication 545
26.4 Unique Benefits of Replication Products 549
26.5 Factor-Based Approach to Replication 552
26.6 The Algorithmic (Bottom-Up) Approach 558
26.7 Three Illustrations of the Algorithmic (Bottom-Up) Approach 558
Chapter 27 Diversified Access to Hedge Funds 565
27.1 Evidence Regarding Hedge Fund Risk and Returns 565
27.2 Approaches to Accessing Hedge Funds 569
27.3 Characteristics of Funds of Hedge Funds 573
27.4 Fund of Hedge Funds Portfolio Construction 577
27.5 Ways that Funds of Hedge Funds Can Add Value 580
27.6 Investable Hedge Fund Indices 584
27.7 Alternative Mutual Funds...
Acknowlegements xli
About the Authors xlv
Part 1 Ethics Regulations and ESG
Chapter 1 Asset Manager Code 3
1.1 General Principles of Conduct 3
1.2 Asset Manager Code 3
1.3 Notification of Compliance 5
1.4 Additional Guidance for the Asset Manager Code 6
Chapter 2 Recommendations and Guidance 11
Chapter 3 Global Regulation 27
3.1 Overview of Financial Market Regulation 27
3.2 Regulation of Alternative Investments Within the United States 28
3.3 Alternative Investment Regulation in Europe 38
3.4 Hedge Fund Regulation in Asia 45
Chapter 4 ESG and Alternative Investments 49
4.1 Background on ESG and Alternative Investing 49
4.2 ESG and Real Assets: Natural Resources 51
4.3 ESG and Real Assets: Commodities 53
4.4 ESG and Real Assets: Real Estate 55
4.5 ESG and Hedge Funds 61
4.6 ESG and Private Equity 66
Chapter 5 ESG Analysis and Application 71
5.1 Background on ESG 71
5.2 ESG Ratings and Scores 73
5.3 ESG Materiality and Disclosure 74
5.4 The United Nations Role in ESG Issues 76
5.5 ESG Fiduciary Responsibilities and Regulation 78
5.6 Methods of ESG Investing 80
5.7 Market-Based Methods of Addressing ESG Issues 85
5.8 ESG and Special Investment Consideration 87
Part 2 Models
Chapter 6 Modeling Overview and Interest Rate Models 93
6.1 Types of Models Underlying Investment Strategies 93
6.2 Equilibrium Fixed-Income Models 96
6.3 Arbitrage-Free Models of the Term Structure 99
6.4 The Black-Derman-Toy Model 100
6.5 P-Measures and Q-Measures 103
Chapter 7 Credit Risk Models 105
7.1 The Economics of Credit Risk 105
7.2 Overview of Credit Risk Modeling 109
7.3 The Merton Model 110
7.4 Other Structural Models: KMV 117
7.5 Reduced-Form Models 120
7.6 Empirical Credit Models 123
Chapter 8 Multi-Factor Equity Pricing Models 127
8.1 Multi-Factor Asset Pricing Models 127
8.2 FAMA-French Models 131
8.3 Three Challenges of Empirical Multi-Factor Models 133
8.4 Factor Investing 135
8.5 The Adaptive Markets Hypothesis 141
8.6 Time-Varying Volatility 142
8.7 Stochastic Discount Factors 143
8.8 Summary of Multiple-Factor Asset Allocation 145
Chapter 9 Asset Allocation Processes and the Mean-Variance Model 147
9.1 Asset Allocation Processes and the Mean-Variance Model 147
9.2 Implementation of Mean-Variance Optimization 155
9.3 Mean-Variance Optimization with Multiple Risky Assets 160
9.4 Mean-Variance Optimization and Hurdle Rates 162
9.5 Issues in Using Optimization for Portfolio Selection 163
9.6 Adjustment of the Mean-Variance Approach for Illiquidity 166
9.7 Adjustment of the Mean-Variance Approach for Factor Exposure 168
9.8 Mitigating Estimation Error Risk in Mean-Variance Optimization 168
Chapter 10 Other Asset Allocation Approaches 175
10.1 The Core-Satellite Approach 175
10.2 Top-Down and Bottom-Up Asset Allocation Approaches 176
10.3 Risk Budgeting 178
10.4 A Factor-Based Example of Implementing A Risk Budgeting Approach 181
10.5 Risk Parity 183
10.6 Other Quantitative Portfolio Allocation Strategies 189
10.7 The New Investment Model 193
Part 3 Institutional Asset Owners and Investment Policies
Chapter 11 Types of Asset Owners and the Investment Policy Statement 197
11.1 Endowments and Foundations 197
11.2 Pension Funds 198
11.3 Sovereign Wealth Funds 199
11.4 Family Offices 199
11.5 Strategic Asset Allocation: Risk and Return 199
11.6 Asset Allocation Objectives 202
11.7 Investment Policy Constraints 202
11.8 Investment Policy Statements for Institutional Asset Owners 204
Chapter 12 Foundations and the Endowment Model 221
12.1 Defining Endowments and Foundations 221
12.2 Intergenerational Equity, Inflation, and Spending Challenges 224
12.3 The Endowment Model 226
12.4 Why Might Large Endowments Outperform? 228
12.5 Risks of the Endowment Model 234
12.6 Liquidity Rebalancing and Tactical Asset Allocation 239
12.7 Tail Risk 240
12.8 Conclusion 242
Chapter 13 Pension Fund Portfolio Management 245
13.1 Development, Motivations, and Types of Pension Plans 245
13.2 Risk Tolerance and Asset Allocation 247
13.3 Defined Benefit Plans 251
13.4 Governmental Social Security Plans 258
13.5 Contrasting Defined Benefit and Contribution Plans 259
13.6 Annuities for Retirement Income 262
13.7 Conclusion 266
Chapter 14 Sovereign Wealth Funds 269
14.1 Sources of Sovereign Wealth 269
14.2 Four Types of Sovereign Wealth Funds 272
14.3 Establishment and Management of Sovereign Wealth Funds 274
14.4 Governance and Political Risks of SWFs 277
14.5 Analysis of Three Sovereign Wealth Funds 279
14.6 Conclusion 282
Chapter 15 Family Offices and the Family Office Model 285
15.1 Identifying Family Offices 285
15.2 Goals, Benefits, and Business Models of Family Offices 286
15.3 Family Office Goals by Generations 290
15.4 Macroeconomic Exposures of Family Offices 295
15.5 Income Taxes of Family Offices 297
15.6 Lifestyle Assets of Family Offices 300
15.7 Family Office Governance 304
15.8 Charity, Philanthropy, and Impact Investing 307
15.9 Ten Competitive Advantages of Family Offices 310
Part 4 Risk and Risk Management
Chapter 16 Cases in Tail Risk 315
16.1 Problems Driven by Market Losses 315
16.2 Trading Technology and Financial Crises 324
16.3 Failures Driven by Fraud 326
16.4 Four Major lessons From cases in Tail Events 334
Chapter 17 Benchmarking and Performance Attribution 337
17.1 Benchmarking and Performance Attribution Overview 337
17.2 Single-Factor Benchmarking and Performance Attribution 340
17.3 Multi-Factor Benchmarking 344
17.4 Distinctions Regarding Alternative Asset Benchmarking 346
17.5 Benchmarking of Commodities 348
17.6 Three Approaches to Benchmarking Managed Futures Funds 351
17.7 Benchmarking Private Equity Funds 352
17.8 Group Peer Returns as Benchmarks 357
17.9 Benchmarking Real Estate 358
Chapter 18 Liquidity and Funding Risks 363
18.1 Margin Accounts and Collateral Management 363
18.2 Value at Risk for Managed Futures 367
18.3 Other Methods of Estimating Liquidity Needs 369
18.4 Smoothed Returns on Illiquid Funds 373
18.5 Modeling Price and Return Smoothing 375
18.6 Unsmoothing a Hypothetical Return Series 378
18.7 Unsmoothing Actual Real Estate Return Data 380
Chapter 19 Hedging, Rebalancing, and Monitoring 389
19.1 Managing Alpha and Systematic Risk 389
19.2 Managing the Risk of a Portfolio with Options 391
19.3 Delta-Hedging of Option Positions 394
19.4 Three Key Observations on Delta-Hedging 399
19.5 Three Observations on Rebalancing Delta-Neutral Option Portfolios 400
19.6 Rebalancing Portfolios with Directional Exposures 401
19.7 Mean-Reversion and Diversification Return 407
19.8 Investment Monitoring 409
Chapter 20 Risk Measurement, Risk Management, and Risk Systems 413
20.1 Overview of Risk Measurement and Aggregation 413
20.2 Categories of Information to be Considered 422
20.3 Risk Measurement with Daily Frequency of Data Collection 424
20.4 Risk Measurement with Weekly Frequency of Data Collection 425
20.5 Risk Measurement with Monthly Frequency of Data Collection 426
20.6 Risk Measurement with Quarterly Frequency of Data Collection 427
20.7 Risk Measurement with Annual Frequency of Data Collection or Rolling Time Periods 427
20.8 Cybersecurity for Fund Managers 429
20.9 Risk Management Structure and Process 432
Part 5 Methods for Alternative Investing
Chapter 21 Valuation and Hedging Using Binomial Trees 439
21.1 A One-Period Binomial Tree and Risk-Neutral Modeling 439
21.2 Multi-Period Binomial Trees, Values, and Mean Rates 442
21.3 Valuation of Convertible Securities with a Binomial Tree Model 445
21.4 Valuing Callable Bonds with a Tree Model 452
21.5 Tree Models, Visualization, and Two Benefits to Spreadsheets 458
Chapter 22 Directional Strategies and Methods 459
22.1 Efficiently Inefficient Markets 459
22.2 Technical Directional Strategies Overview 460
22.3 Fundamental Directional Strategies 467
22.4 Directional Strategies and Behavioral Finance 473
22.5 Directional Trading and Factors 476
Chapter 23 Multivariate Empirical Methods and Performance Persistence 479
23.1 Statistical Factors and Principal Component Analysis 479
23.2 Multi-Factor Models and Regression 483
23.3 Partial Autocorrelations and Regression 485
23.4 Three Dynamic Risk Exposure Models 487
23.5 Two Approaches to Modeling Changing Correlation 489
23.6 Four Multi-Factor Approaches to Understanding Returns 493
23.7 Evidence on Fund Performance Persistence 496
Chapter 24 Relative Value Methods 499
24.1 Overview of Relative Value Methods 499
24.2 Types of Pairs Trading and the Four Typical Steps 502
24.3 Statistical Pairs Trading of Equities 503
24.4 Pairs Trading in Commodity Markets Based on Spreads 506
Chapter 25 Valuation Methods for Private Assets: The Case of Real Estate 519
25.1 Depreciation Tax Shields 519
25.2 Deferral of Taxation of Gains 522
25.3 Comparing After-Tax Returns for Various Taxation Scenarios 524
25.4 Transaction-Based Indices: Repeat-Sales 529
25.5 Transaction-Based Indices: Hedonic 532
25.6 Sample Bias and the Repeat-Sales and Hedonic-Price Methods 535
25.7 Appraisal-Based Indices 536
25.8 Noisy Pricing 537
Part 6 Accessing Alternative Investments
Chapter 26 Hedge Fund Replication 543
26.1 An Overview of Replication Products 543
26.2 Potential Benefits of Replication Products 544
26.3 The Case for Hedge Fund Replication 545
26.4 Unique Benefits of Replication Products 549
26.5 Factor-Based Approach to Replication 552
26.6 The Algorithmic (Bottom-Up) Approach 558
26.7 Three Illustrations of the Algorithmic (Bottom-Up) Approach 558
Chapter 27 Diversified Access to Hedge Funds 565
27.1 Evidence Regarding Hedge Fund Risk and Returns 565
27.2 Approaches to Accessing Hedge Funds 569
27.3 Characteristics of Funds of Hedge Funds 573
27.4 Fund of Hedge Funds Portfolio Construction 577
27.5 Ways that Funds of Hedge Funds Can Add Value 580
27.6 Investable Hedge Fund Indices 584
27.7 Alternative Mutual Funds...
Details
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Management |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Seiten: | 960 |
| Inhalt: | 960 S. |
| ISBN-13: | 9781119651680 |
| ISBN-10: | 1119651689 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Caia Association
Chambers, Donald R. Kazemi, Hossein B. Black, Keith H. |
| Hersteller: | John Wiley & Sons Inc |
| Maße: | 257 x 192 x 60 mm |
| Von/Mit: | Caia Association (u. a.) |
| Erscheinungsdatum: | 08.10.2020 |
| Gewicht: | 1,99 kg |
Über den Autor
DR. DONALD R. CHAMBERS, PhD, CAIA, is Associate Director of Programs at the CAIA Association; Chief Investment Officer of Biltmore Capital Advisors and Emeritus Professor at Lafayette College in Easton, Pennsylvania. Dr. Chambers previously served as Director of Alternative Investments at Karpus Investment Management. He is a member of the editorial board of The Journal of Alternative Investments.
DR. HOSSEIN KAZEMI, PhD, is a senior adviser to the CAIA Association. He is the Michael and Cheryl Philipp Professor of Finance at the University of Massachusetts, Amherst; Director of the Center for International Securities and Derivatives Markets; a cofounder of the CAIA Association; and Editor-in-Chief of The Journal of Alternative Investments--the official publication of the CAIA Association and a member of the editorial board of The Journal of Financial Data Science.
DR. KEITH H. BLACK, PhD, CAIA, FDP, is the Managing Director of Content Strategy at the CAIA Association. He was previously an associate at Ennis Knupp and, before that, an assistant professor at Illinois Institute of Technology. He is a member of the editorial board of The Journal of Alternative Investments.
Inhaltsverzeichnis
Preface xxxix
Acknowlegements xli
About the Authors xlv
Part 1 Ethics Regulations and ESG
Chapter 1 Asset Manager Code 3
1.1 General Principles of Conduct 3
1.2 Asset Manager Code 3
1.3 Notification of Compliance 5
1.4 Additional Guidance for the Asset Manager Code 6
Chapter 2 Recommendations and Guidance 11
Chapter 3 Global Regulation 27
3.1 Overview of Financial Market Regulation 27
3.2 Regulation of Alternative Investments Within the United States 28
3.3 Alternative Investment Regulation in Europe 38
3.4 Hedge Fund Regulation in Asia 45
Chapter 4 ESG and Alternative Investments 49
4.1 Background on ESG and Alternative Investing 49
4.2 ESG and Real Assets: Natural Resources 51
4.3 ESG and Real Assets: Commodities 53
4.4 ESG and Real Assets: Real Estate 55
4.5 ESG and Hedge Funds 61
4.6 ESG and Private Equity 66
Chapter 5 ESG Analysis and Application 71
5.1 Background on ESG 71
5.2 ESG Ratings and Scores 73
5.3 ESG Materiality and Disclosure 74
5.4 The United Nations Role in ESG Issues 76
5.5 ESG Fiduciary Responsibilities and Regulation 78
5.6 Methods of ESG Investing 80
5.7 Market-Based Methods of Addressing ESG Issues 85
5.8 ESG and Special Investment Consideration 87
Part 2 Models
Chapter 6 Modeling Overview and Interest Rate Models 93
6.1 Types of Models Underlying Investment Strategies 93
6.2 Equilibrium Fixed-Income Models 96
6.3 Arbitrage-Free Models of the Term Structure 99
6.4 The Black-Derman-Toy Model 100
6.5 P-Measures and Q-Measures 103
Chapter 7 Credit Risk Models 105
7.1 The Economics of Credit Risk 105
7.2 Overview of Credit Risk Modeling 109
7.3 The Merton Model 110
7.4 Other Structural Models: KMV 117
7.5 Reduced-Form Models 120
7.6 Empirical Credit Models 123
Chapter 8 Multi-Factor Equity Pricing Models 127
8.1 Multi-Factor Asset Pricing Models 127
8.2 FAMA-French Models 131
8.3 Three Challenges of Empirical Multi-Factor Models 133
8.4 Factor Investing 135
8.5 The Adaptive Markets Hypothesis 141
8.6 Time-Varying Volatility 142
8.7 Stochastic Discount Factors 143
8.8 Summary of Multiple-Factor Asset Allocation 145
Chapter 9 Asset Allocation Processes and the Mean-Variance Model 147
9.1 Asset Allocation Processes and the Mean-Variance Model 147
9.2 Implementation of Mean-Variance Optimization 155
9.3 Mean-Variance Optimization with Multiple Risky Assets 160
9.4 Mean-Variance Optimization and Hurdle Rates 162
9.5 Issues in Using Optimization for Portfolio Selection 163
9.6 Adjustment of the Mean-Variance Approach for Illiquidity 166
9.7 Adjustment of the Mean-Variance Approach for Factor Exposure 168
9.8 Mitigating Estimation Error Risk in Mean-Variance Optimization 168
Chapter 10 Other Asset Allocation Approaches 175
10.1 The Core-Satellite Approach 175
10.2 Top-Down and Bottom-Up Asset Allocation Approaches 176
10.3 Risk Budgeting 178
10.4 A Factor-Based Example of Implementing A Risk Budgeting Approach 181
10.5 Risk Parity 183
10.6 Other Quantitative Portfolio Allocation Strategies 189
10.7 The New Investment Model 193
Part 3 Institutional Asset Owners and Investment Policies
Chapter 11 Types of Asset Owners and the Investment Policy Statement 197
11.1 Endowments and Foundations 197
11.2 Pension Funds 198
11.3 Sovereign Wealth Funds 199
11.4 Family Offices 199
11.5 Strategic Asset Allocation: Risk and Return 199
11.6 Asset Allocation Objectives 202
11.7 Investment Policy Constraints 202
11.8 Investment Policy Statements for Institutional Asset Owners 204
Chapter 12 Foundations and the Endowment Model 221
12.1 Defining Endowments and Foundations 221
12.2 Intergenerational Equity, Inflation, and Spending Challenges 224
12.3 The Endowment Model 226
12.4 Why Might Large Endowments Outperform? 228
12.5 Risks of the Endowment Model 234
12.6 Liquidity Rebalancing and Tactical Asset Allocation 239
12.7 Tail Risk 240
12.8 Conclusion 242
Chapter 13 Pension Fund Portfolio Management 245
13.1 Development, Motivations, and Types of Pension Plans 245
13.2 Risk Tolerance and Asset Allocation 247
13.3 Defined Benefit Plans 251
13.4 Governmental Social Security Plans 258
13.5 Contrasting Defined Benefit and Contribution Plans 259
13.6 Annuities for Retirement Income 262
13.7 Conclusion 266
Chapter 14 Sovereign Wealth Funds 269
14.1 Sources of Sovereign Wealth 269
14.2 Four Types of Sovereign Wealth Funds 272
14.3 Establishment and Management of Sovereign Wealth Funds 274
14.4 Governance and Political Risks of SWFs 277
14.5 Analysis of Three Sovereign Wealth Funds 279
14.6 Conclusion 282
Chapter 15 Family Offices and the Family Office Model 285
15.1 Identifying Family Offices 285
15.2 Goals, Benefits, and Business Models of Family Offices 286
15.3 Family Office Goals by Generations 290
15.4 Macroeconomic Exposures of Family Offices 295
15.5 Income Taxes of Family Offices 297
15.6 Lifestyle Assets of Family Offices 300
15.7 Family Office Governance 304
15.8 Charity, Philanthropy, and Impact Investing 307
15.9 Ten Competitive Advantages of Family Offices 310
Part 4 Risk and Risk Management
Chapter 16 Cases in Tail Risk 315
16.1 Problems Driven by Market Losses 315
16.2 Trading Technology and Financial Crises 324
16.3 Failures Driven by Fraud 326
16.4 Four Major lessons From cases in Tail Events 334
Chapter 17 Benchmarking and Performance Attribution 337
17.1 Benchmarking and Performance Attribution Overview 337
17.2 Single-Factor Benchmarking and Performance Attribution 340
17.3 Multi-Factor Benchmarking 344
17.4 Distinctions Regarding Alternative Asset Benchmarking 346
17.5 Benchmarking of Commodities 348
17.6 Three Approaches to Benchmarking Managed Futures Funds 351
17.7 Benchmarking Private Equity Funds 352
17.8 Group Peer Returns as Benchmarks 357
17.9 Benchmarking Real Estate 358
Chapter 18 Liquidity and Funding Risks 363
18.1 Margin Accounts and Collateral Management 363
18.2 Value at Risk for Managed Futures 367
18.3 Other Methods of Estimating Liquidity Needs 369
18.4 Smoothed Returns on Illiquid Funds 373
18.5 Modeling Price and Return Smoothing 375
18.6 Unsmoothing a Hypothetical Return Series 378
18.7 Unsmoothing Actual Real Estate Return Data 380
Chapter 19 Hedging, Rebalancing, and Monitoring 389
19.1 Managing Alpha and Systematic Risk 389
19.2 Managing the Risk of a Portfolio with Options 391
19.3 Delta-Hedging of Option Positions 394
19.4 Three Key Observations on Delta-Hedging 399
19.5 Three Observations on Rebalancing Delta-Neutral Option Portfolios 400
19.6 Rebalancing Portfolios with Directional Exposures 401
19.7 Mean-Reversion and Diversification Return 407
19.8 Investment Monitoring 409
Chapter 20 Risk Measurement, Risk Management, and Risk Systems 413
20.1 Overview of Risk Measurement and Aggregation 413
20.2 Categories of Information to be Considered 422
20.3 Risk Measurement with Daily Frequency of Data Collection 424
20.4 Risk Measurement with Weekly Frequency of Data Collection 425
20.5 Risk Measurement with Monthly Frequency of Data Collection 426
20.6 Risk Measurement with Quarterly Frequency of Data Collection 427
20.7 Risk Measurement with Annual Frequency of Data Collection or Rolling Time Periods 427
20.8 Cybersecurity for Fund Managers 429
20.9 Risk Management Structure and Process 432
Part 5 Methods for Alternative Investing
Chapter 21 Valuation and Hedging Using Binomial Trees 439
21.1 A One-Period Binomial Tree and Risk-Neutral Modeling 439
21.2 Multi-Period Binomial Trees, Values, and Mean Rates 442
21.3 Valuation of Convertible Securities with a Binomial Tree Model 445
21.4 Valuing Callable Bonds with a Tree Model 452
21.5 Tree Models, Visualization, and Two Benefits to Spreadsheets 458
Chapter 22 Directional Strategies and Methods 459
22.1 Efficiently Inefficient Markets 459
22.2 Technical Directional Strategies Overview 460
22.3 Fundamental Directional Strategies 467
22.4 Directional Strategies and Behavioral Finance 473
22.5 Directional Trading and Factors 476
Chapter 23 Multivariate Empirical Methods and Performance Persistence 479
23.1 Statistical Factors and Principal Component Analysis 479
23.2 Multi-Factor Models and Regression 483
23.3 Partial Autocorrelations and Regression 485
23.4 Three Dynamic Risk Exposure Models 487
23.5 Two Approaches to Modeling Changing Correlation 489
23.6 Four Multi-Factor Approaches to Understanding Returns 493
23.7 Evidence on Fund Performance Persistence 496
Chapter 24 Relative Value Methods 499
24.1 Overview of Relative Value Methods 499
24.2 Types of Pairs Trading and the Four Typical Steps 502
24.3 Statistical Pairs Trading of Equities 503
24.4 Pairs Trading in Commodity Markets Based on Spreads 506
Chapter 25 Valuation Methods for Private Assets: The Case of Real Estate 519
25.1 Depreciation Tax Shields 519
25.2 Deferral of Taxation of Gains 522
25.3 Comparing After-Tax Returns for Various Taxation Scenarios 524
25.4 Transaction-Based Indices: Repeat-Sales 529
25.5 Transaction-Based Indices: Hedonic 532
25.6 Sample Bias and the Repeat-Sales and Hedonic-Price Methods 535
25.7 Appraisal-Based Indices 536
25.8 Noisy Pricing 537
Part 6 Accessing Alternative Investments
Chapter 26 Hedge Fund Replication 543
26.1 An Overview of Replication Products 543
26.2 Potential Benefits of Replication Products 544
26.3 The Case for Hedge Fund Replication 545
26.4 Unique Benefits of Replication Products 549
26.5 Factor-Based Approach to Replication 552
26.6 The Algorithmic (Bottom-Up) Approach 558
26.7 Three Illustrations of the Algorithmic (Bottom-Up) Approach 558
Chapter 27 Diversified Access to Hedge Funds 565
27.1 Evidence Regarding Hedge Fund Risk and Returns 565
27.2 Approaches to Accessing Hedge Funds 569
27.3 Characteristics of Funds of Hedge Funds 573
27.4 Fund of Hedge Funds Portfolio Construction 577
27.5 Ways that Funds of Hedge Funds Can Add Value 580
27.6 Investable Hedge Fund Indices 584
27.7 Alternative Mutual Funds...
Acknowlegements xli
About the Authors xlv
Part 1 Ethics Regulations and ESG
Chapter 1 Asset Manager Code 3
1.1 General Principles of Conduct 3
1.2 Asset Manager Code 3
1.3 Notification of Compliance 5
1.4 Additional Guidance for the Asset Manager Code 6
Chapter 2 Recommendations and Guidance 11
Chapter 3 Global Regulation 27
3.1 Overview of Financial Market Regulation 27
3.2 Regulation of Alternative Investments Within the United States 28
3.3 Alternative Investment Regulation in Europe 38
3.4 Hedge Fund Regulation in Asia 45
Chapter 4 ESG and Alternative Investments 49
4.1 Background on ESG and Alternative Investing 49
4.2 ESG and Real Assets: Natural Resources 51
4.3 ESG and Real Assets: Commodities 53
4.4 ESG and Real Assets: Real Estate 55
4.5 ESG and Hedge Funds 61
4.6 ESG and Private Equity 66
Chapter 5 ESG Analysis and Application 71
5.1 Background on ESG 71
5.2 ESG Ratings and Scores 73
5.3 ESG Materiality and Disclosure 74
5.4 The United Nations Role in ESG Issues 76
5.5 ESG Fiduciary Responsibilities and Regulation 78
5.6 Methods of ESG Investing 80
5.7 Market-Based Methods of Addressing ESG Issues 85
5.8 ESG and Special Investment Consideration 87
Part 2 Models
Chapter 6 Modeling Overview and Interest Rate Models 93
6.1 Types of Models Underlying Investment Strategies 93
6.2 Equilibrium Fixed-Income Models 96
6.3 Arbitrage-Free Models of the Term Structure 99
6.4 The Black-Derman-Toy Model 100
6.5 P-Measures and Q-Measures 103
Chapter 7 Credit Risk Models 105
7.1 The Economics of Credit Risk 105
7.2 Overview of Credit Risk Modeling 109
7.3 The Merton Model 110
7.4 Other Structural Models: KMV 117
7.5 Reduced-Form Models 120
7.6 Empirical Credit Models 123
Chapter 8 Multi-Factor Equity Pricing Models 127
8.1 Multi-Factor Asset Pricing Models 127
8.2 FAMA-French Models 131
8.3 Three Challenges of Empirical Multi-Factor Models 133
8.4 Factor Investing 135
8.5 The Adaptive Markets Hypothesis 141
8.6 Time-Varying Volatility 142
8.7 Stochastic Discount Factors 143
8.8 Summary of Multiple-Factor Asset Allocation 145
Chapter 9 Asset Allocation Processes and the Mean-Variance Model 147
9.1 Asset Allocation Processes and the Mean-Variance Model 147
9.2 Implementation of Mean-Variance Optimization 155
9.3 Mean-Variance Optimization with Multiple Risky Assets 160
9.4 Mean-Variance Optimization and Hurdle Rates 162
9.5 Issues in Using Optimization for Portfolio Selection 163
9.6 Adjustment of the Mean-Variance Approach for Illiquidity 166
9.7 Adjustment of the Mean-Variance Approach for Factor Exposure 168
9.8 Mitigating Estimation Error Risk in Mean-Variance Optimization 168
Chapter 10 Other Asset Allocation Approaches 175
10.1 The Core-Satellite Approach 175
10.2 Top-Down and Bottom-Up Asset Allocation Approaches 176
10.3 Risk Budgeting 178
10.4 A Factor-Based Example of Implementing A Risk Budgeting Approach 181
10.5 Risk Parity 183
10.6 Other Quantitative Portfolio Allocation Strategies 189
10.7 The New Investment Model 193
Part 3 Institutional Asset Owners and Investment Policies
Chapter 11 Types of Asset Owners and the Investment Policy Statement 197
11.1 Endowments and Foundations 197
11.2 Pension Funds 198
11.3 Sovereign Wealth Funds 199
11.4 Family Offices 199
11.5 Strategic Asset Allocation: Risk and Return 199
11.6 Asset Allocation Objectives 202
11.7 Investment Policy Constraints 202
11.8 Investment Policy Statements for Institutional Asset Owners 204
Chapter 12 Foundations and the Endowment Model 221
12.1 Defining Endowments and Foundations 221
12.2 Intergenerational Equity, Inflation, and Spending Challenges 224
12.3 The Endowment Model 226
12.4 Why Might Large Endowments Outperform? 228
12.5 Risks of the Endowment Model 234
12.6 Liquidity Rebalancing and Tactical Asset Allocation 239
12.7 Tail Risk 240
12.8 Conclusion 242
Chapter 13 Pension Fund Portfolio Management 245
13.1 Development, Motivations, and Types of Pension Plans 245
13.2 Risk Tolerance and Asset Allocation 247
13.3 Defined Benefit Plans 251
13.4 Governmental Social Security Plans 258
13.5 Contrasting Defined Benefit and Contribution Plans 259
13.6 Annuities for Retirement Income 262
13.7 Conclusion 266
Chapter 14 Sovereign Wealth Funds 269
14.1 Sources of Sovereign Wealth 269
14.2 Four Types of Sovereign Wealth Funds 272
14.3 Establishment and Management of Sovereign Wealth Funds 274
14.4 Governance and Political Risks of SWFs 277
14.5 Analysis of Three Sovereign Wealth Funds 279
14.6 Conclusion 282
Chapter 15 Family Offices and the Family Office Model 285
15.1 Identifying Family Offices 285
15.2 Goals, Benefits, and Business Models of Family Offices 286
15.3 Family Office Goals by Generations 290
15.4 Macroeconomic Exposures of Family Offices 295
15.5 Income Taxes of Family Offices 297
15.6 Lifestyle Assets of Family Offices 300
15.7 Family Office Governance 304
15.8 Charity, Philanthropy, and Impact Investing 307
15.9 Ten Competitive Advantages of Family Offices 310
Part 4 Risk and Risk Management
Chapter 16 Cases in Tail Risk 315
16.1 Problems Driven by Market Losses 315
16.2 Trading Technology and Financial Crises 324
16.3 Failures Driven by Fraud 326
16.4 Four Major lessons From cases in Tail Events 334
Chapter 17 Benchmarking and Performance Attribution 337
17.1 Benchmarking and Performance Attribution Overview 337
17.2 Single-Factor Benchmarking and Performance Attribution 340
17.3 Multi-Factor Benchmarking 344
17.4 Distinctions Regarding Alternative Asset Benchmarking 346
17.5 Benchmarking of Commodities 348
17.6 Three Approaches to Benchmarking Managed Futures Funds 351
17.7 Benchmarking Private Equity Funds 352
17.8 Group Peer Returns as Benchmarks 357
17.9 Benchmarking Real Estate 358
Chapter 18 Liquidity and Funding Risks 363
18.1 Margin Accounts and Collateral Management 363
18.2 Value at Risk for Managed Futures 367
18.3 Other Methods of Estimating Liquidity Needs 369
18.4 Smoothed Returns on Illiquid Funds 373
18.5 Modeling Price and Return Smoothing 375
18.6 Unsmoothing a Hypothetical Return Series 378
18.7 Unsmoothing Actual Real Estate Return Data 380
Chapter 19 Hedging, Rebalancing, and Monitoring 389
19.1 Managing Alpha and Systematic Risk 389
19.2 Managing the Risk of a Portfolio with Options 391
19.3 Delta-Hedging of Option Positions 394
19.4 Three Key Observations on Delta-Hedging 399
19.5 Three Observations on Rebalancing Delta-Neutral Option Portfolios 400
19.6 Rebalancing Portfolios with Directional Exposures 401
19.7 Mean-Reversion and Diversification Return 407
19.8 Investment Monitoring 409
Chapter 20 Risk Measurement, Risk Management, and Risk Systems 413
20.1 Overview of Risk Measurement and Aggregation 413
20.2 Categories of Information to be Considered 422
20.3 Risk Measurement with Daily Frequency of Data Collection 424
20.4 Risk Measurement with Weekly Frequency of Data Collection 425
20.5 Risk Measurement with Monthly Frequency of Data Collection 426
20.6 Risk Measurement with Quarterly Frequency of Data Collection 427
20.7 Risk Measurement with Annual Frequency of Data Collection or Rolling Time Periods 427
20.8 Cybersecurity for Fund Managers 429
20.9 Risk Management Structure and Process 432
Part 5 Methods for Alternative Investing
Chapter 21 Valuation and Hedging Using Binomial Trees 439
21.1 A One-Period Binomial Tree and Risk-Neutral Modeling 439
21.2 Multi-Period Binomial Trees, Values, and Mean Rates 442
21.3 Valuation of Convertible Securities with a Binomial Tree Model 445
21.4 Valuing Callable Bonds with a Tree Model 452
21.5 Tree Models, Visualization, and Two Benefits to Spreadsheets 458
Chapter 22 Directional Strategies and Methods 459
22.1 Efficiently Inefficient Markets 459
22.2 Technical Directional Strategies Overview 460
22.3 Fundamental Directional Strategies 467
22.4 Directional Strategies and Behavioral Finance 473
22.5 Directional Trading and Factors 476
Chapter 23 Multivariate Empirical Methods and Performance Persistence 479
23.1 Statistical Factors and Principal Component Analysis 479
23.2 Multi-Factor Models and Regression 483
23.3 Partial Autocorrelations and Regression 485
23.4 Three Dynamic Risk Exposure Models 487
23.5 Two Approaches to Modeling Changing Correlation 489
23.6 Four Multi-Factor Approaches to Understanding Returns 493
23.7 Evidence on Fund Performance Persistence 496
Chapter 24 Relative Value Methods 499
24.1 Overview of Relative Value Methods 499
24.2 Types of Pairs Trading and the Four Typical Steps 502
24.3 Statistical Pairs Trading of Equities 503
24.4 Pairs Trading in Commodity Markets Based on Spreads 506
Chapter 25 Valuation Methods for Private Assets: The Case of Real Estate 519
25.1 Depreciation Tax Shields 519
25.2 Deferral of Taxation of Gains 522
25.3 Comparing After-Tax Returns for Various Taxation Scenarios 524
25.4 Transaction-Based Indices: Repeat-Sales 529
25.5 Transaction-Based Indices: Hedonic 532
25.6 Sample Bias and the Repeat-Sales and Hedonic-Price Methods 535
25.7 Appraisal-Based Indices 536
25.8 Noisy Pricing 537
Part 6 Accessing Alternative Investments
Chapter 26 Hedge Fund Replication 543
26.1 An Overview of Replication Products 543
26.2 Potential Benefits of Replication Products 544
26.3 The Case for Hedge Fund Replication 545
26.4 Unique Benefits of Replication Products 549
26.5 Factor-Based Approach to Replication 552
26.6 The Algorithmic (Bottom-Up) Approach 558
26.7 Three Illustrations of the Algorithmic (Bottom-Up) Approach 558
Chapter 27 Diversified Access to Hedge Funds 565
27.1 Evidence Regarding Hedge Fund Risk and Returns 565
27.2 Approaches to Accessing Hedge Funds 569
27.3 Characteristics of Funds of Hedge Funds 573
27.4 Fund of Hedge Funds Portfolio Construction 577
27.5 Ways that Funds of Hedge Funds Can Add Value 580
27.6 Investable Hedge Fund Indices 584
27.7 Alternative Mutual Funds...
Details
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Management |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Seiten: | 960 |
| Inhalt: | 960 S. |
| ISBN-13: | 9781119651680 |
| ISBN-10: | 1119651689 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: |
Caia Association
Chambers, Donald R. Kazemi, Hossein B. Black, Keith H. |
| Hersteller: | John Wiley & Sons Inc |
| Maße: | 257 x 192 x 60 mm |
| Von/Mit: | Caia Association (u. a.) |
| Erscheinungsdatum: | 08.10.2020 |
| Gewicht: | 1,99 kg |
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