Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors
University Ca' Foscari of Venice, Dept. of Economics Research Paper Series No. 21
MIT Sloan Research Paper No. 4774-10
57 Pages Posted: 23 Nov 2011 Last revised: 15 Dec 2011
Date Written: November 1, 2011
Abstract
We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.
Keywords: Systemic Risk, Financial Institutions, Liquidity, Financial Crises
JEL Classification: G12, G29, C51
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
A Theory of Systemic Risk and Design of Prudential Bank Regulation
-
A Theory of Systemic Risk and Design of Prudential Bank Regulation
-
A Theory of Systemic Risk and Design of Prudential Bank Regulation
-
By Viral V. Acharya, Lasse Heje Pedersen, ...
-
By Viral V. Acharya, Lasse Heje Pedersen, ...
-
By Viral V. Acharya, Lasse Heje Pedersen, ...
-
Too Many to Fail - An Analysis of Time-Inconsistency in Bank Closure Policies
By Viral V. Acharya and Tanju Yorulmazer
-
Too Many to Fail - an Analysis of Time Inconsistency in Bank Closure Policies
By Viral V. Acharya and Tanju Yorulmazer