Volume 81, Issue 3 p. 623-652
Introduction

Systemic Risk and the Interconnectedness Between Banks and Insurers: An Econometric Analysis

Hua Chen
The authors are from Temple University. The authors can be contacted via e‐mail: hchen@temple.edu, cummins@temple.edu, krupa@temple.edu, and mweiss@temple.edu, respectively.Search for more papers by this author
J. David Cummins
The authors are from Temple University. The authors can be contacted via e‐mail: hchen@temple.edu, cummins@temple.edu, krupa@temple.edu, and mweiss@temple.edu, respectively.Search for more papers by this author
Krupa S. Viswanathan
The authors are from Temple University. The authors can be contacted via e‐mail: hchen@temple.edu, cummins@temple.edu, krupa@temple.edu, and mweiss@temple.edu, respectively.Search for more papers by this author
Mary A. Weiss
The authors are from Temple University. The authors can be contacted via e‐mail: hchen@temple.edu, cummins@temple.edu, krupa@temple.edu, and mweiss@temple.edu, respectively.Search for more papers by this author
First published: 14 March 2013
Citations: 91

Abstract

This article uses daily market value data on credit default swap spreads and intraday stock prices to measure systemic risk in the insurance sector. Using the systemic risk measure, we examine the interconnectedness between banks and insurers with Granger causality tests. Based on linear and nonlinear causality tests, we find evidence of significant bidirectional causality between insurers and banks. However, after correcting for conditional heteroskedasticity, the impact of banks on insurers is stronger and of longer duration than the impact of insurers on banks. Stress tests confirm that banks create significant systemic risk for insurers but not vice versa.

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