Regulating Insurance Groups: A Comparison of Risk-Based Solvency Models

18 Pages Posted: 27 Nov 2017

See all articles by Hato Schmeiser

Hato Schmeiser

University of Münster - Faculty of Economics; University of St. Gallen - I.VW-HSG

Caroline Siegel

University of St. Gallen - Institute of Insurance Economics

Date Written: July 24, 2013

Abstract

Regulators are currently developing group-wide capital standards that are intended to enable the effective monitoring of insurance groups. Some jurisdictions are taking steps toward models with a focus on the groups’ consolidated balance sheets, while other models focus on the interrelations of the groups’ legal entities. This paper compares two general approaches to group-wide solvency in light of the regulatory challenges of regulatory inconsistency, risk dependencies, and risk aggregation: a consolidated approach and a legal entity approach. In order to contribute to the current discussion on the regulation and risk management for insurance groups, we support our line of reasoning by using a generalized model of Gatzert and Schmeiser (2011). Our findings show that a solely consolidated viewpoint is likely to underestimate shortfall risks in times of financial crises, whereas while a sole focus on the interrelated legal entities generally makes it possible to display different group structures it cannot control regulatory arbitrage.

Suggested Citation

Schmeiser, Hato and Siegel, Caroline, Regulating Insurance Groups: A Comparison of Risk-Based Solvency Models (July 24, 2013). Journal of Financial Perspectives, Vol. 1, No. 2, 2013, Available at SSRN: https://ssrn.com/abstract=3076949

Hato Schmeiser (Contact Author)

University of Münster - Faculty of Economics ( email )

Universitätsstr. 14-16
48143 Munster
Germany

University of St. Gallen - I.VW-HSG ( email )

Kirchlistrasse 2
St. Gallen, 9010
Switzerland

Caroline Siegel

University of St. Gallen - Institute of Insurance Economics ( email )

Tannenstrasse 19
St. Gallen, St. Gallen 9000
Switzerland

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
42
Abstract Views
956
PlumX Metrics