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The Journal of Finance
Article . 1988 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1007/978-94...
Part of book or chapter of book . 1992 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1007/978-94...
Part of book or chapter of book . 1989 . Peer-reviewed
Data sources: Crossref
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Risk-Based Premiums for Insurance Guaranty Funds

Authors: Cummins, J David;

Risk-Based Premiums for Insurance Guaranty Funds

Abstract

Insurance guaranty funds have been adopted in all states to compensate policyholders for losses resulting from insurance company insolvencies. The guaranty funds charge flat premium rates, usually a percentage of premiums. Flat premiums can induce insurers to adopt h igh-risk strategies, a problem that could be avoided through the use of risk-based premiums. This article develops risk-based premium form ulae for three cases: (1) an ongoing insurer with stochastic assets a nd liabilities; (2) an ongoing insurer also subject to jumps in liabi lities (catastrophes); and (3) a policy cohort, where claims eventual ly run off to zero. Premium estimates are provided and compared with actual guaranty fund assessment rates. Copyright 1988 by American Finance Association.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Average
Top 10%
Average
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