A simple model of decision making: How to avoid large outliers?
Zoltan Varsanyi ()
MPRA Paper from University Library of Munich, Germany
In 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.
Keywords: endogeneity; non-stacionarity; outliers; simulation; uncertainty (search for similar items in EconPapers)
JEL-codes: D81 C15 (search for similar items in EconPapers)
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https://mpra.ub.uni-muenchen.de/11070/1/MPRA_paper_11070.pdf revised version (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:9528
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