Time pressure reverses risk preferences
Najam U. Saqib and
Eugene Y. Chan
Organizational Behavior and Human Decision Processes, 2015, vol. 130, issue C, 58-68
Abstract:
In this research, we offer the hypothesis that time pressure reverses risk preferences. That is, people are typically risk-averse over gains and risk-seeking over losses, as predicted by prospect theory, but we propose that people under time pressure are risk-seeking over gains and risk-averse over losses. This is because people under time pressure perceive the maximal possible outcome – that is, the best possible gain over gains and the worst possible loss over losses – to be more likely to occur, such that they use it as their reference point and not the status quo to evaluate all other outcomes. As such, they perceive intermediary gains relative to the best possible gain as relative losses, which results in risk-seeking, and they perceive intermediary losses relative to the worst possible loss as relative gains, which results in risk-aversion. We conclude by situating our research among prior work generally and with prospect theory specifically.
Keywords: Time pressure; Risk preferences; Preference reversal; Prospect theory; Reference point shift (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0749597815000722
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jobhdp:v:130:y:2015:i:c:p:58-68
DOI: 10.1016/j.obhdp.2015.06.004
Access Statistics for this article
Organizational Behavior and Human Decision Processes is currently edited by John M. Schaubroeck
More articles in Organizational Behavior and Human Decision Processes from Elsevier
Bibliographic data for series maintained by Catherine Liu ().