scholarly journals Expected Utility Strategic Decision Models for General Insurers

1986 ◽  
Vol 16 (3) ◽  
pp. 45-58 ◽  
Author(s):  
Danny SAMSON
Author(s):  
Tamio Shimizu ◽  
Marley Monteiro de Carvalho ◽  
Fernando Jose Barbin

The basic types of decision models presented in the previous chapter (rational, descriptive, political, and ambiguous models) relies on quantitative values (money, time, or probabilities) that are most suitable for structured and semi-structured decision problems. These basic models can be used as starting models to guide the structuring process of strategic decision problems. First, a systematic procedure for structuring the strategic decision making process is presented, using decision matrix and decision trees. The need for the sensitivity analysis is introduced, and will be illustrated with more detail in the next chapter. Some problems that must be considered in this structuring process are illustrated in form of hidden traps and paradoxes. The first step in the decision-making process is to formulate the problem. It is possible that an inadequate formulation of the problem leads to a result that reduces efficiency and efficacy, since an incorrect formulation can define a wrong problem.


1986 ◽  
Vol 16 (S1) ◽  
pp. S45-S58 ◽  
Author(s):  
Danny Samson

AbstractIt has been argued in previous studies that the expected utility decision criterion provides useful insights for certain insurance problems, such as underwriting, reinsurance and portfolio optimization problems. In this study three new models are developed which extend and generalize previous results. The first model analyses modified stop-loss reinsurance. The second model analyses risk pooling where both inward and outward reinsurance occur. Expected utility calculations can be used to provide insight on the attractiveness of competing reinsurance and risk pooling options. The third model is for strategic planning, where risk/reward tradeoffs for all the insurer's business activities (underwriting, investment, reinsurance) can be considered in aggregate. The simpler models can often be solved analytically however the strategic planning model is relatively complex and uses Monte Carlo techniques to determine retained earnings distributions. The expected utility approach has been found to be powerful, flexible and comprehensive as a decision aiding mechanism. From a normative viewpoint, this approach accounts very well for all the important decision elements. Recent developments in decision support systems will allow these models to be made available to practitioners in user friendly forms.


2021 ◽  
Author(s):  
Luciano I. de Castro ◽  
Antonio F. Galvao ◽  
Jeong Yeol Kim ◽  
Gabriel Montes-Rojas ◽  
Jose Olmo

1991 ◽  
Vol 12 (5) ◽  
pp. 327-351 ◽  
Author(s):  
Michael A. Hitt ◽  
Beverly B. Tyler

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