Abstract
With empirical evidence from marine mutual insurance (MMI), an impulse feedback model is constructed to address how information-sharing can help increase the social welfare as well as efficiency of the operation of MMI system. Focusing on information-sharing, this paper considers premium policy optimization of under a mutual insurance system with a homogeneous market of identical members. Our findings confirm that the principle of mutuality can be attained under "equal-risk pooling", but not necessarily under "unequal-risk pooling", and reveal that quantifiable difference exists in valuation of mutuality under the two schemes of risk pooling. It points out that the key to a successful MMI is the equal-risk pooling. Algorithms are developed to compute the value of mutuality by solving the HJB equations and quasi-variational inequalities. The conclusion provides a scientific basis for both managerial strategy and competition regulation. The findings are applicable to a wide range of reserve and inventory management problems. © 2010/2011 - IOS Press and the authors. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 65-74 |
| Journal | Risk and Decision Analysis |
| Volume | 2 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
Research Keywords
- Information-sharing
- mutual insurance
- P&I Club
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