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Financial robo-advisors: A scoping review and future research directions

  • Mustafa Nourallah*
  • , Peter Öhman
  • , Thomas Walther
  • , Duc Khuong Nguyen
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Financial robo-advisors (FRAs) enable households with a limited amount of money to participate in financial markets without time or place constraints. While FRAs can help investors overcome behavioural biases, they also have disadvantages, such as reliance on a limited number of inputs and a lack of individualization. We conduct a scoping literature review of the nascent research on FRAs to synthesize previous research results. We identify two streams of literature: (1) asset management, which focuses on designing FRAs and improving the functioning of these machine advisors, and (2) behavioural finance, which investigates technology adoption and issues concerning biased advice. Among other topics, future research should address why FRAs do not appeal to less financially literate people, who would likely benefit more than others from using them.
Original languageEnglish
Article number101158
Number of pages16
JournalJournal of Behavioral and Experimental Finance
Volume49
DOIs
Publication statusPublished - 1 Mar 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/

Keywords

  • Financial robo-advisors
  • Financial technology
  • Investment

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