Skip to main content
Workshops & seminars

Visitor Seminar - Dr. Mario Ghossoub (University of Waterloo)


Date & time
Wednesday, December 7, 2022
12:30 p.m. – 2 p.m.
Speaker(s)

Dr. Mario Ghossoub (University of Waterloo)

Cost

This event is free

Organization

Department of Mathematics and Statistics

Where

J.W. McConnell Building
1400 De Maisonneuve Blvd. W.
Room LB 921-04

Wheel chair accessible

Yes

Equilibria in Reinsurance Markets: Monopolistic vs. Competitive Pricing

The notion of a Bowley optimum (or Stackelberg equilibrium) has gained recent popularity as an equilibrium concept in reinsurance markets, but it assumes a monopolistic structure on the supply side. This is in contrast to reinsurance markets in which equilibrium pricing arises through strategic price competition between reinsurers. In this talk, I will discuss both market structures and argue that  the notion of a Subgame Perfect Nash Equilibrium (SPNE) is the appropriate solution concept in the latter market setting. I will provide a characterization of equilibrium reinsurance contracts in each case, under fairly general assumptions about the preferences of market participants. Finally, I will discuss the Pareto-efficiency of equilibria and whether efficient allocations can be decentralized in each market structure. Specifically, Bowley-optimal contracts lead to Pareto-efficient allocations, but they make the insurer indifferent with the status quo. Moreover, only those Pareto-efficient contracts that make the insurer indifferent between suffering the loss and entering into the reinsurance contract are Bowley optimal. This is indicative of the limitations of Bowley optimality as an equilibrium concept. In the second market structure, equilibrium contracts induced by an SPNE result in Pareto-efficient allocations. Additionally, under mild conditions, the insurer realizes a strict welfare gain, which addresses the shortcomings of the Bowley setting and thereby ultimately reflects the benefit to the insurer of competition on the supply side.

Back to top

© Concordia University