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Portfolio Risk Analysis / Gregory Connor, Robert A. Korajczyk, Lisa R. Goldberg.

By: Contributor(s): Material type: TextTextPublisher: Princeton, NJ : Princeton University Press, [2010]Copyright date: ©2010Edition: Course BookDescription: 1 online resource (400 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9780691128283
  • 9781400835294
Subject(s): DDC classification:
  • 332.6 22
LOC classification:
  • HG4529.5 .C657 2010eb
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Contents -- Acknowledgments -- Introduction -- Key Notation -- 1. Measures of Risk and Return -- 2. Unstructured Covariance Matrices -- 3. Industry and Country Risk -- 4. Statistical Factor Analysis -- 5. The Macroeconomy and Portfolio Risk -- 6. Security Characteristics and Pervasive Risk Factors -- 7. Measuring and Hedging Foreign Exchange Risk -- 8. Integrated Risk Models -- 9. Dynamic Volatilities and Correlations -- 10. Portfolio Return Distributions -- 11. Credit Risk -- 12. Transaction Costs and Liquidity Risk -- 13. Alternative Asset Classes -- 14. Performance Measurement -- 15. Conclusion -- References -- Index
Summary: 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.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781400835294

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

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)