Portfolio Risk Analysis
eBook - PDF

Portfolio Risk Analysis

  1. 400 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective.


Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts.


This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

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Yes, you can access Portfolio Risk Analysis by Gregory Connor,Lisa R. Goldberg,Robert A. Korajczyk in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. Acknowledgments
  6. Introduction
  7. Key Notation
  8. 1 Measures of Risk and Return
  9. 2 Unstructured Covariance Matrices
  10. 3 Industry and Country Risk
  11. 4 Statistical Factor Analysis
  12. 5 The Macroeconomy and Portfolio Risk
  13. 6 Security Characteristics and Pervasive Risk Factors
  14. 7 Measuring and Hedging Foreign Exchange Risk
  15. 8 Integrated Risk Models
  16. 9 Dynamic Volatilities and Correlations
  17. 10 Portfolio Return Distributions
  18. 11 Credit Risk
  19. 12 Transaction Costs and Liquidity Risk
  20. 13 Alternative Asset Classes
  21. 14 Performance Measurement
  22. 15 Conclusion
  23. References
  24. Index