Abstract
Consider a portfolio consisting of n risks. An individual risk is a product of two random variables: (1) a Bernoulli random variable which is an indicator for the event that claim has occurred; (2) the claim amount, which is a positive random variable. In the first part of this paper, we extend the results of Hu and Wu [Insur. Math. Econ. 24 (1999) 323] and Dhaene and Goovaerts [Insur. Math. Econ. 19 (1997) 243] for the case of exchangeable Bernoulli random variables. In the second part, we introduce a new partial ordering between multivariate Bernoulli distributions with identical marginals. We apply this new ordering to compare the stop-loss premium of different portfolios.
Original language | English |
---|---|
Pages (from-to) | 319-331 |
Number of pages | 13 |
Journal | Insurance: Mathematics and Economics |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - 20 Dec 2001 |
Keywords
- Convex ordering
- Dependent risks
- Supermodular ordering
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty