A simple model of decision making: How to avoid large outliers?
AbstractIn this paper I present a simple model through which I examine how large unwanted outcomes in a process subject to one’s decisions can be avoided. The paper has implications for decision makers in the field of economics, financial markets and also everyday life. Probably the most interesting conclusion is that, in certain problems, in order to avoid large unwanted outcomes one, regularly and intentionally, has to make decisions that are not optimal according to his/her existing preference. The reason for it is that the decision rule might get “overfitted” to one’s (recent) experience and may give wrong signals if there is a change, even as temporary as in one single period, in the environment in which decisions are made. I find the optimal decision making strategy in an example case – the optimal strategy, however, may well be different in different real-world situations.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9528.
Date of creation: 05 Jun 2008
Date of revision:
endogeneity; non-stacionarity; outliers; simulation; uncertainty;
Find related papers by JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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- Riccardo Rebonato, 2007.
"Introduction to Plight of the Fortune Tellers: Why We Need to Manage Financial Risk Differently
[Plight of the Fortune Tellers: Why We Need to Manage Financial Risk Differently]," Introductory Chapters, Princeton University Press.
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