Econometric Measures of Systemic Risk in the Finance and Insurance Sectors
Monica Billio,
Mila Getmansky,
Andrew Lo () and
Loriana Pelizzon ()
No 16223, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We propose several econometric measures of systemic risk to capture the interconnectedness among the monthly returns of hedge funds, banks, brokers, and insurance companies based on principal components analysis and Granger-causality tests. We find that all four sectors have become highly interrelated over the past decade, increasing the level of systemic risk in the finance and insurance industries. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power for the current financial crisis. Our results suggest that hedge funds can provide early indications of market dislocation, and systemic risk arises from a complex and dynamic network of relationships among hedge funds, banks, insurance companies, and brokers.
JEL-codes: C51 G12 G29 (search for similar items in EconPapers)
Date: 2010-07
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (83)
Published as Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors , Monica Billio, Mila Getmansky, Andrew W. Lo, Loriana Pelizzon. in Market Institutions and Financial Market Risk , Carey, Kashyap, Rajan, and Stulz. 2012
Published as Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, vol 104(3), pages 535-559.
Downloads: (external link)
http://www.nber.org/papers/w16223.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:16223
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w16223
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().