Journal
ANNALS OF APPLIED PROBABILITY
Volume 31, Issue 2, Pages 778-805Publisher
INST MATHEMATICAL STATISTICS-IMS
DOI: 10.1214/20-AAP1604
Keywords
Mixed compound Poisson process; regular conditional probability; martingale; martingale-equivalent measures; premium calculation principle
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Funding
- Alexander S. Onassis Public Benefit Foundation
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This study investigates mixed compound Poisson processes under a probability measure, providing a characterization of all probability measures to maintain equivalence while improving the properties of the process. The research also discusses implications for premium calculation principles in an insurance market without free lunch and vanishing risk.
If a given aggregate process S is a mixed compound Poisson process under a probability measure P, we provide a characterization of all probability measures Q on the domain of P, such that P and Q are progressively equivalent and S remains a mixed compound Poisson process with improved properties. This result generalizes earlier work of Delbaen and Haezendonck (Insurance Math. Econom. 8 (1989) 269-277). Implications related to the computation of premium calculation principles in an insurance market possessing the property of no free lunch with vanishing risk are also discussed.
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