Modern Portfolio Theory + Website – Foundations, Analysis, and New Developments

Foundations, Analysis, and New Developments + Website

Gebonden Engels 2013 9781118370520
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Samenvatting

A through guide covering Modern Portfolio Theory as well as the recent developments surrounding it

Modern portfolio theory (MPT), which originated with Harry Markowitz′s seminal paper "Portfolio Selection" in 1952, has stood the test of time and continues to be the intellectual foundation for real–world portfolio management. This book presents a comprehensive picture of MPT in a manner that can be effectively used by financial practitioners and understood by students.

Modern Portfolio Theory provides a summary of the important findings from all of the financial research done since MPT was created and presents all the MPT formulas and models using one consistent set of mathematical symbols. Opening with an informative introduction to the concepts of probability and utility theory, it quickly moves on to discuss Markowitz′s seminal work on the topic with a thorough explanation of the underlying mathematics.

Analyzes portfolios of all sizes and types, shows how the advanced findings and formulas are derived, and offers a concise and comprehensive review of MPT literature
Addresses logical extensions to Markowitz′s work, including the Capital Asset Pricing Model, Arbitrage Pricing Theory, portfolio ranking models, and performance attribution
Considers stock market developments like decimalization, high frequency trading, and algorithmic trading, and reveals how they align with MPT
Companion Website contains Excel spreadsheets that allow you to compute and graph Markowitz efficient frontiers with riskless and risky assets

If you want to gain a complete understanding of modern portfolio theory this is the book you need to read.

Specificaties

ISBN13:9781118370520
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:576

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Inhoudsopgave

<p>Contents</p>
<p>Preface xvii</p>
<p>CHAPTER 1 Introduction 1</p>
<p>1.1 The Portfolio Management Process 1</p>
<p>1.2 The Security Analyst s Job 1</p>
<p>1.3 Portfolio Analysis 2</p>
<p>1.4 Portfolio Selection 5</p>
<p>1.5 The Mathematics is Segregated 6</p>
<p>1.6 Topics to be Discussed 6</p>
<p>Appendix: Various Rates of Return 7</p>
<p>PART ONE Probability Foundations</p>
<p>CHAPTER 2 Assessing Risk 13</p>
<p>2.1 Mathematical Expectation 13</p>
<p>2.2 What Is Risk? 15</p>
<p>2.3 Expected Return 16</p>
<p>2.4 Risk of a Security 17</p>
<p>2.5 Covariance of Returns 18</p>
<p>2.6 Correlation of Returns 19</p>
<p>2.7 Using Historical Returns 20</p>
<p>2.8 Data Input Requirements 22</p>
<p>2.9 Portfolio Weights 22</p>
<p>2.10 A Portfolio s Expected Return 23</p>
<p>2.11 Portfolio Risk 23</p>
<p>2.12 Summary of Notations and Formulas 27</p>
<p>CHAPTER 3 Risk and Diversification 29</p>
<p>3.1 Reconsidering Risk 29</p>
<p>3.2 Utility Theory 32</p>
<p>3.3 Risk–Return Space 36</p>
<p>3.4 Diversification 38</p>
<p>3.5 Conclusions 41</p>
<p>PART TWO Utility Foundations</p>
<p>CHAPTER 4 Single–Period Utility Analysis 45</p>
<p>4.1 Basic Utility Axioms 46</p>
<p>4.2 The Utility of Wealth Function 47</p>
<p>4.3 Utility of Wealth and Returns 47</p>
<p>4.4 Expected Utility of Returns 48</p>
<p>4.5 Risk Attitudes 52</p>
<p>4.6 Absolute Risk Aversion 59</p>
<p>4.7 Relative Risk Aversion 60</p>
<p>4.8 Measuring Risk Aversion 62</p>
<p>4.9 Portfolio Analysis 66</p>
<p>4.10 Indifference Curves 69</p>
<p>4.11 Summary and Conclusions 74</p>
<p>Appendix: Risk Aversion and Indifference Curves 75</p>
<p>PART THREE Mean–Variance Portfolio Analysis</p>
<p>CHAPTER 5 Graphical Portfolio Analysis 85</p>
<p>5.1 Delineating Efficient Portfolios 85</p>
<p>5.2 Portfolio Analysis Inputs 86</p>
<p>5.3 Two–Asset Isomean Lines 87</p>
<p>5.4 Two–Asset Isovariance Ellipses 90</p>
<p>5.5 Three–Asset Portfolio Analysis 92</p>
<p>5.6 Legitimate Portfolios 102</p>
<p>5.7 Unusual Graphical Solutions Don t Exist 103</p>
<p>5.8 Representing Constraints Graphically 103</p>
<p>5.9 The Interior Decorator Fallacy 103</p>
<p>5.10 Summary 104</p>
<p>Appendix: Quadratic Equations 105</p>
<p>CHAPTER 6 Efficient Portfolios 113</p>
<p>6.1 Risk and Return for Two–Asset Portfolios 113</p>
<p>6.2 The Opportunity Set 114</p>
<p>6.3 Markowitz Diversification 120</p>
<p>6.4 Efficient Frontier without the Risk–Free Asset 123</p>
<p>6.5 Introducing a Risk–Free Asset 126</p>
<p>6.6 Summary and Conclusions 131</p>
<p>Appendix: Equations for a Relationship between Erp) and p</p>
<p>CHAPTER 7 Advanced Mathematical Portfolio Analysis 135</p>
<p>7.1 Efficient Portfolios without a Risk–Free Asset 135</p>
<p>7.2 Efficient Portfolios with a Risk–Free Asset 146</p>
<p>7.3 Identifying the Tangency Portfolio 150</p>
<p>7.4 Summary and Conclusions 152</p>
<p>Appendix: Mathematical Derivation of the Efficient Frontier 152</p>
<p>CHAPTER 8 Index Models and Return–Generating Process 165</p>
<p>8.1 Single–Index Models 165</p>
<p>8.2 Efficient Frontier and the Single–Index Model 178</p>
<p>8.3 Two–Index Models 186</p>
<p>8.4 Multi–Index Models 189</p>
<p>8.5 Conclusions 190</p>
<p>Appendix: Index Models 191</p>
<p>PART FOUR Non–Mean–Variance Portfolios</p>
<p>CHAPTER 9 Non–Normal Distributions of Returns 201</p>
<p>9.1 Stable Paretian Distributions 201</p>
<p>9.2 The Student s t –Distribution 204</p>
<p>9.3 Mixtures of Normal Distributions 204</p>
<p>9.4 Poisson Jump–Diffusion Process 206</p>
<p>9.5 Lognormal Distributions 206</p>
<p>9.6 Conclusions 213</p>
<p>CHAPTER 10 Non–Mean–Variance Investment Decisions 215</p>
<p>10.1 Geometric Mean Return Criterion 215</p>
<p>10.2 The Safety–First Criterion 218</p>
<p>10.3 Semivariance Analysis 228</p>
<p>10.4 Stochastic Dominance Criterion 236</p>
<p>10.5 Mean–Variance–Skewness Analysis 246</p>
<p>10.6 Summary and Conclusions 254</p>
<p>Appendix A: Stochastic Dominance 254</p>
<p>Appendix B: Expected Utility as a Function of Three Moments 257</p>
<p>CHAPTER 11 Risk Management: Value at Risk 261</p>
<p>11.1 VaR of a Single Asset 261</p>
<p>11.2 Portfolio VaR 263</p>
<p>11.3 Decomposition of a Portfolio s VaR 265</p>
<p>11.4 Other VaRs 269</p>
<p>11.5 Methods of Measuring VaR 270</p>
<p>11.6 Estimation of Volatilities 277</p>
<p>11.7 The Accuracy of VaR Models 282</p>
<p>11.8 Summary and Conclusions 285</p>
<p>Appendix: The Delta–Gamma Method 285</p>
<p>PART FIVE Asset Pricing Models</p>
<p>CHAPTER 12 The Capital Asset Pricing Model 291</p>
<p>12.1 Underlying Assumptions 291</p>
<p>12.2 The Capital Market Line 292</p>
<p>12.3 The Capital Asset Pricing Model 295</p>
<p>12.4 Over– and Under–priced Securities 299</p>
<p>12.5 The Market Model and the CAPM 300</p>
<p>12.6 Summary and Conclusions 301</p>
<p>Appendix: Derivations of the CAPM 301</p>
<p>CHAPTER 13 Extensions of the Standard CAPM 311</p>
<p>13.1 Risk–Free Borrowing or Lending 311</p>
<p>13.2 Homogeneous Expectations 316</p>
<p>13.3 Perfect Markets 318</p>
<p>13.4 Unmarketable Assets 322</p>
<p>13.5 Summary and Conclusions 323</p>
<p>Appendix: Derivations of a Non–Standard CAPM 324</p>
<p>CHAPTER 14 Empirical Tests of the CAPM 333</p>
<p>14.1 Time–Series Tests of the CAPM 333</p>
<p>14.2 Cross–Sectional Tests of the CAPM 335</p>
<p>14.3 Empirical Misspecifications in Cross–Sectional Regression Tests 345</p>
<p>14.4 Multivariate Tests 353</p>
<p>14.5 Is the CAPM Testable? 356</p>
<p>14.6 Summary and Conclusions 357</p>
<p>CHAPTER 15 Continuous–Time Asset Pricing Models 361</p>
<p>15.1 Intertemporal CAPM (ICAPM) 361</p>
<p>15.2 The Consumption–Based CAPM (CCAPM) 363</p>
<p>15.3 Conclusions 366</p>
<p>Appendix: Lognormality and the Consumption–Based CAPM 367</p>
<p>CHAPTER 16 Arbitrage Pricing Theory 371</p>
<p>16.1 Arbitrage Concepts 371</p>
<p>16.2 Index Arbitrage 375</p>
<p>16.4 Asset Pricing on a Security Market Plane 383</p>
<p>16.5 Contrasting APT with CAPM 385</p>
<p>16.6 Empirical Evidence 386</p>
<p>16.7 Comparing the APT and CAPM Empirically 388</p>
<p>16.8 Conclusions 389</p>
<p>PART SIX Implementing the Theory</p>
<p>CHAPTER 17 Portfolio Construction and Selection 395</p>
<p>17.1 Efficient Markets 395</p>
<p>17.2 Using Portfolio Theories to Construct and Select Portfolios 398</p>
<p>17.3 Security Analysis 400</p>
<p>17.4 Market Timing 401</p>
<p>17.5 Diversification 407</p>
<p>17.6 Constructing an Active Portfolio 415</p>
<p>17.7 Portfolio Revision 424</p>
<p>17.8 Summary and Conclusions 430</p>
<p>Appendix: Proofs for Some Ratios from Active Portfolios 431</p>
<p>CHAPTER 18 Portfolio Performance Evaluation 435</p>
<p>18.1 Mutual Fund Returns 435</p>
<p>18.2 Portfolio Performance Analysis in the Good Old Days 436</p>
<p>18.3 Capital Market Theory Assumptions 438</p>
<p>18.4 Single–Parameter Portfolio Performance Measures 438</p>
<p>18.5 Market Timing 449</p>
<p>18.6 Comparing Single–Parameter Portfolio Performance Measures 452</p>
<p>18.7 The Index of Total Portfolio Risk (ITPR) and the Portfolio Beta 454</p>
<p>18.8 Measurement Problems 457</p>
<p>18.9 Do Winners or Losers Repeat? 461</p>
<p>18.10 Summary about Investment Performance Evaluation 465</p>
<p>Appendix: Sharpe Ratio of an Active Portfolio 467</p>
<p>CHAPTER 19 Performance Attribution 473</p>
<p>19.1 Factor Model Analysis 474</p>
<p>19.2 Return–Based Style Analysis 475</p>
<p>19.3 Return Decomposition–Based Analysis 479</p>
<p>19.4 Conclusions 485</p>
<p>Appendix: Regression Coefficients Estimation with Constraints 486</p>
<p>CHAPTER 20 Stock Market Developments 489</p>
<p>20.1 Recent NYSE Consolidations 489</p>
<p>20.2 International Securities Exchange (ISE) 492</p>
<p>20.3 Nasdaq 492</p>
<p>20.4 Downward Pressures on Transactions Costs 494</p>
<p>20.5 The Venerable Limit Order 497</p>
<p>20.6 Market Microstructure 498</p>
<p>20.7 High–Frequency Trading 499</p>
<p>20.8 Alternative Trading Systems (ATSs) 500</p>
<p>20.9 Algorithmic Trading 501</p>
<p>20.10 Symbiotic Stock Market Developments 505</p>
<p>20.11 Detrimental Stock Market Developments 505</p>
<p>20.12 Summary and Conclusions 506</p>
<p>Mathematical Appendixes 509</p>
<p>Bibliography 519</p>
<p>About the Authors 539</p>
<p>Author Index 541</p>
<p>Subject Index 547</p>

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        Modern Portfolio Theory + Website – Foundations, Analysis, and New Developments