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

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Authors: Mustafa Nourallah, Peter Öhman, Thomas Walther, Duc Khuong Nguyen
Cited by: 3
References: 62

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.

Fields of Study & Subjects

Financial Literacy Pension Retirement Analysis FinTech Crowdfunding Digital Finance Decision-Making and Behavioral Economics

Publication details

Journal / source
Journal of Behavioral and Experimental Finance
Publisher
Elsevier BV
Volume
49
Pages
101158–101158
Publication date
16 February 2026
Language
EN