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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Comparison of two independentportfolios is shown by these risk ordering approaches
📌 3 Key Takeaways
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Objective & Hypothesis:Ordering of claim size risks can be done by stochastic dominance, stop-loss dominance andseveral other modalities of stochastic orders for decision making under uncertainty.
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Key Findings & Data:Emergence of risks can bedeteected in terms of some interdependent variables and factors such as risk reserves and premium amounts.Risk ordering must be done by models that take account of this interdependence.This paper discusses some major stochastic order modalities for comparisons of risks and introduces anew risk ordering criterion in terms or record values of claim size sequences.
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Conclusion & Impact:Comparison of two independentportfolios is shown by these risk ordering approaches
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Record values · distribution of total claim amount · risk orderings
Abstract
Ordering of claim size risks can be done by stochastic dominance, stop-loss dominance andseveral other modalities of stochastic orders for decision making under uncertainty. Emergence of risks can bedeteected in terms of some interdependent variables and factors such as risk reserves and premium amounts.Risk ordering must be done by models that take account of this interdependence.This paper discusses some major stochastic order modalities for comparisons of risks and introduces anew risk ordering criterion in terms or record values of claim size sequences. Comparison of two independentportfolios is shown by these risk ordering approaches
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Cite This Article
Gebizlioglu, O. L., Tank., F. (2002). ORDERING OF CLAIM SIZE RISKS AND ACTUARIAL IMPLICATIONS. Türkiye İstatistik Derneği İstatistik Dergisi, Volume: 5 Issue: 1. https://ajindex.com/articles/1562076