Boosting Performance with Machine-Made Portfolios and Stock Market Evidence
E-Book, Englisch, 249 Seiten, eBook
ISBN: 978-3-031-48169-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)
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Weitere Infos & Material
Part I: Introduction.- Chapter 1: Portfolio Theory and Practice.- Part II: Previous Asset Pricing Models.- Chapter 2: General Equilibrium Asset Pricing Models.- Chapter 3: Multifactor Asset Pricing Models.- Part III: The ZCAPM.- Chapter 4: A New Asset Pricing Model: The ZCAPM.- Chapter 5: The Empirical ZCAPM.- Part IV: Portfolio Performance.- Chapter 6: Portfolio Performance Measures.- Part V: Building Stock Portfolios with the ZCAPM.- Chapter 7: Building the Global Minimum Variance Portfolio G.- Chapter 8: Net Long Portfolio Performance Analyses.- Chapter 9: Net Long Portfolio Risk Analyses.- Chapter 10: Long Only Efficient Portfolios.- Chapter 11: The Beta-Zeta Risk Architecture of the Mean-Variance Parabola.- Chapter 12: Mutual fund portfolios.- Part VI: Conclusion.- Chapter 13: The Future of Investment Practice, Artificial Intelligence, and Machine Learning.