Pricing in a Competitive Insurance Market Driven by Fractional Noise

Abstract

Motivated by the empirical evidence of the long-range dependency found within the Greek motor insurance market, we formulate a particular stochastic pricing model in a continuous framework. We assume the structure of a competitive insurance market where the business volume of each company is directly related to the existing relativity between the company’s premium and the market’s average premium. Using a simple demand function and modeling the movements of the market via a fractional Brownian motion, we derive the optimal premium control strategy. Finally, we support the importance of the specific approach by a short application. It is shown that the optimal premium strategy is considerably different under the absence or existence of the long-range dependency.

Keywords:

Volume
5
Issue
1
Page
55-67
Year
2011
Keywords
Fractional Brownian motion, stochastic linear optimal control, competitive markets, insurance pricing
Categories
Actuarial Applications and Methodologies
Ratemaking
Trend and Loss Development
Competitive Analysis
Financial and Statistical Methods
Statistical Models and Methods
Generalized Linear Modeling
Financial and Statistical Methods
Risk Pricing and Risk Evaluation Models
Publications
Variance
Authors
Alexandros A Zimbidis