Measures of Perceived Risk
AbstractBased on our previous work on the standard measure of risk, this paper presents two classes of measures for perceived risk by decomposing a lottery into its mean and standard risk. One of the classes of our risk measures presumes that there is no risk when there is no uncertainty involved, and the other allows different degenerate lotteries to be evaluated with different values of "risk." The former has more prescriptive appeal in risky decision making, but the latter may have more descriptive power for subjective risk judgments. Our risk measures can also take into account the asymmetric effects of losses and gains on perceived risk based on an appropriate choice of the standard measure of risk. The perceived risk models we propose unify a large body of empirical evidence regarding risk judgments, and provide sufficient flexibility to better capture people's perceptions of risk than previously developed risk models. In particular, our risk measures provide clear ways to accommodate financial measures of risk and psychological measures of risk, and they can be incorporated into preference models in an appealing form based on mean-risk tradeoffs.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 45 (1999)
Issue (Month): 4 (April)
perceived risk; risk measurement; risk-value tradeoffs; decision making under risk;
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Venkatraman, Srinivasan & Aloysius, John A. & Davis, Fred D., 2006. "Multiple prospect framing and decision behavior: The mediational roles of perceived riskiness and perceived ambiguity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(1), pages 59-73, September.
- Kaufmann, Christine & Weber, Martin, 2013. "Sometimes less is more – The influence of information aggregation on investment decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 20-33.
- Yang, Jiping & Qiu, Wanhua, 2005. "A measure of risk and a decision-making model based on expected utility and entropy," European Journal of Operational Research, Elsevier, vol. 164(3), pages 792-799, August.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc).
If references are entirely missing, you can add them using this form.