New experimental evidence on the relationship between home bias, ambiguity aversion and familiarity heuristics
Dennis Dlugosch,
Kristian Horn and
Mei Wang
Journal of Economics and Business, 2023, vol. 125-126, No S0148619523000243
Abstract:
We study portfolio diversification in an experimental decision task, where asset returns depend on a draw from an ambiguous urn. Holding other information constant and controlling for the level of ambiguity, we find that labeling assets as being familiar or from the homeland of subjects increases portfolio weights by around 25 %, respectively, although the return-generating process remains unaffected. Importantly, we only find these effects when the returns of assets are highly ambiguous. As a result, familiarity and home-land sympathy can lead to portfolios containing more assets with high ambiguity, i.e., bear greater downside risk. Our results disentangle the effects of familiarity and ambiguity as two prominent behavioral explanations of home bias and provide evidence for recent theoretical models on portfolio allocation under ambiguity.
Keywords: Home bias; Ambiguity aversion; Familiarity; Experiment (search for similar items in EconPapers)
JEL-codes: C91 D14 D81 G11 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148619523000243
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:jebusi:v:125-126:y:2023:i::s0148619523000243
DOI: 10.1016/j.jeconbus.2023.106131
Access Statistics for this article
Journal of Economics and Business is currently edited by Emanuele Bajo and Moritz Ritter
More articles in Journal of Economics and Business from Elsevier
Bibliographic data for series maintained by Catherine Liu ().