We propose an experimental study to examine how to optimally design
a robo-advisor for the purposes of financial risk taking. Specifically, we focus on
robo-advisors which are able to (i) “speak” the language of the investors by communicating
information on the statistical properties of risky assets in an intuitiveway, (ii)
“listen” to the investor by monitoring her emotional reactions and (iii) do both. The
objectives of our study are twofold. First, we aim to understand how robo-advisors
affect financial risk taking and the revisiting of investment decisions. Second, we
aim to identify who is most affected by robo-advice.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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