Algorithm Aversion in Delegated Investing
Journal of Business Economics, forthcoming; this is the accepted version of doi: 10.1007/s11573-022-01121-9
63 Pages Posted: 6 Nov 2019 Last revised: 21 Nov 2022
Date Written: September 28, 2022
The tendency of humans to shy away from using algorithms—even when algorithms observably outperform their human counterpart—has been referred to as algorithm aversion. We conduct an experiment with young adults to test for algorithm aversion in financial decision making. Participants acting as investors can tie their incentives to either a human fund manager or an investment algorithm. We find no sign of algorithm aversion: participants care about returns, but do not have strong preferences which financial intermediary obtains these returns. Contrary to what has been suggested, participants are neither quicker to lose confidence in the algorithm after seeing it err. However, we find that participants’ inability to separate skill and luck when evaluating intermediaries slows down their migration to the algorithm.
Keywords: Algorithm Aversion, Financial Technology, Asset Management, Delegated Investment
JEL Classification: G11, G23, G41, O33
Suggested Citation: Suggested Citation