Human-Robot Interactions in Investment Decisions

Milo Bianchi and Marie Brière
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Milo Bianchi: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse
Marie Brière: Unknown

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Abstract: We study the introduction of robo-advising on a large representa-tive sample of Employee Saving Plans. Dierently from many services that fully automate portfolio decisions, our robo-advisor proposes in- vestment and rebalancing strategies, leaving investors free to follow or ignore them. We focus on the resulting human-robot interactions and show that with the robo-service investors increase their attention to the portfolio, their investment in the plan, their equity exposure. They experience higher risk-adjusted returns, mostly by changing their re-balancing so to stay closer to the target. These eects are robust across various specications accounting for the endogeneity of the take-up decision, and they are stronger for investors with smaller portfolios, lower baseline returns and stock market participation. Our results suggest that automated advice can promote nancial inclusion, and they high- light how human-robot interactions can in uence investors' portfolio decisions and possibly improve nancial capability.

Keywords: Robo-Advising; Inclusion; Human-robot Interaction; Financial; Portfolio Dynamics; Long-Term Investment (search for similar items in EconPapers)
Date: 2026-01-28
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