A mutual insurance diffusion stochastic control problem

Charles S. Tapiero

Research output: Contribution to journalArticlepeer-review


This paper determines the optimal loading factor policy of a mutual insurance firm. Insurance is viewed as a collective process of N persons paying fixed (or variable, contingent) premiums and seeking protection against claims. Risk reduction for each person is then exercised through a distribution of risk by aggregating individual risks and by accumulating cash (net of operating expenses) to meet possible contingent claims. By assuming an approximate claims diffusion process, stochastic control problems for selecting the optimum loading factor policies are stated and resolved analytically. In particular, the implicit cost of bankruptcy is computed and an optimum variable-feedback loading policy is established.

Original languageEnglish (US)
Pages (from-to)241-260
Number of pages20
JournalJournal of Economic Dynamics and Control
Issue number3
StatePublished - Sep 1984

ASJC Scopus subject areas

  • Economics and Econometrics
  • Control and Optimization
  • Applied Mathematics


Dive into the research topics of 'A mutual insurance diffusion stochastic control problem'. Together they form a unique fingerprint.

Cite this