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Human-Robot Interactions in Investment Decisions

Author

Listed:
  • 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

    (AMUNDI Asset Management, Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

Abstract

We study the introduction of robo-advising on a large set of Employee Saving Plans. Differently from many services that fully automate portfolio decisions, our robo-advisor proposes investment and rebalancing strategies, leaving investors free to follow or ignore them. The resulting human-robot interactions occur both at the time of the subscription and over time, as the robot sends alerts when the investor's portfolio gets too far from the target allocation. We show that the robo-service is associated with an increase in investors' attention and trading activities. Following the robot's alerts, investors change their rebalancing behaviors so as to stay closer to their target allocation, which results in larger portfolio returns. Counterfactual returns induced by automatic rebalancing by the robot would be only slightly higher, suggesting that on average the financial cost of letting investors retain control is not large.

Suggested Citation

  • Milo Bianchi & Marie Brière, 2026. "Human-Robot Interactions in Investment Decisions," Post-Print hal-05492345, HAL.
    • Handle: RePEc:hal:journl:hal-05492345
    DOI: 10.1287/mnsc.2022.03886
    Note: View the original document on HAL open archive server: https://hal.science/hal-05492345v1
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    References listed on IDEAS

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    Cited by:

    1. Bernd Irlenbusch, 2026. "Human Trust in AI: Evidence from Experimental Economics," ECONtribute Discussion Papers Series 417, University of Bonn and University of Cologne, Germany.

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