Using a systematic literature review, our study analyzes articles on robo-advisors between 2017 and 2022. Our review identifies four relevant research streams: early classification of robo advisors, behavioral topics, performance, and algorithm modelization. Finally, we propose relevant research questions for each stream, providing scholars with new research angles. Our considerations are also valuable for asset managers, banks, and other financial companies since adopting robo-advisors affects their business models through clients’ preferences and cost structure.
Robo-advisors: a systematic literature review
Chiappini, Helen
2024-01-01
Abstract
Using a systematic literature review, our study analyzes articles on robo-advisors between 2017 and 2022. Our review identifies four relevant research streams: early classification of robo advisors, behavioral topics, performance, and algorithm modelization. Finally, we propose relevant research questions for each stream, providing scholars with new research angles. Our considerations are also valuable for asset managers, banks, and other financial companies since adopting robo-advisors affects their business models through clients’ preferences and cost structure.File in questo prodotto:
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