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Non-exponential Bounds on the Tails of Compound Distributions
Non-exponential Bounds on the Tails of Compound Distributions Random sum models with compound distributions are used extensively in modeling of insurance risks. Unfortunately, the compound ...- Authors: Gordon E Willmot, Xiaodong Sheldon Lin
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
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Martingales and Ruin Probability
Martingales and Ruin Probability In a series papers by Willmot and Lin, both exponential and non-exponential bounds for the tail probability of various compound distributions have been derived.- Authors: Gordon E Willmot, Hailiang Yang
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models