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Robo-advisors: A systematic literature review

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  • Cardillo, Giovanni
  • Chiappini, Helen

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.

Suggested Citation

  • Cardillo, Giovanni & Chiappini, Helen, 2024. "Robo-advisors: A systematic literature review," Finance Research Letters, Elsevier, vol. 62(PA).
    • Handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324001491
    DOI: 10.1016/j.frl.2024.105119
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    1. Zhi-Long Dong & Min-Xing Zhu & Feng-Min Xu, 2022. "Robo-advisor using closed-form solutions for investors’ risk preferences," Applied Economics Letters, Taylor & Francis Journals, vol. 29(16), pages 1470-1477, September.
    2. Humoud Alsabah & Agostino Capponi & Octavio Ruiz Lacedelli & Matt Stern, 2021. "Robo-Advising: Learning Investors’ Risk Preferences via Portfolio Choices [Mean-variance versus Full-scale Optimisation: In and out of Sample]," Journal of Financial Econometrics, Oxford University Press, vol. 19(2), pages 369-392.
    3. D’Hondt, Catherine & De Winne, Rudy & Ghysels, Eric & Raymond, Steve, 2020. "Artificial Intelligence Alter Egos: Who might benefit from robo-investing?," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 278-299.
    4. Christian Hildebrand & Anouk Bergner, 2021. "Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 659-676, July.
    5. Woo Chang Kim & Do-Gyun Kwon & Yongjae Lee & Jang Ho Kim & Changle Lin, 2020. "Personalized goal-based investing via multi-stage stochastic goal programming," Quantitative Finance, Taylor & Francis Journals, vol. 20(3), pages 515-526, March.
    6. Francesco D’Acunto & Nagpurnanand Prabhala & Alberto G Rossi, 2019. "The Promises and Pitfalls of Robo-Advising," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1983-2020.
    7. Cam-Duc Au & Lars Klingenberger & Martin Svoboda & Eric Frère, 2021. "Business Model of Sustainable Robo-Advisors: Empirical Insights for Practical Implementation," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    8. Agostino Capponi & Sveinn Ólafsson & Thaleia Zariphopoulou, 2022. "Personalized Robo-Advising: Enhancing Investment Through Client Interaction," Management Science, INFORMS, vol. 68(4), pages 2485-2512, April.
    9. Bhatia, Ankita & Chandani, Arti & Chhateja, Jagriti, 2020. "Robo advisory and its potential in addressing the behavioral biases of investors — A qualitative study in Indian context," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    10. Michael Puhle, 2019. "The Performance and Asset Allocation of German Robo-Advisors," Society and Economy, Akadémiai Kiadó, Hungary, vol. 41(3), pages 331-351, September.
    11. Babaei, Golnoosh & Giudici, Paolo & Raffinetti, Emanuela, 2022. "Explainable artificial intelligence for crypto asset allocation," Finance Research Letters, Elsevier, vol. 47(PB).
    12. Liurui Deng & Yongbin Lv & Ye Liu & Yiwen Zhao, 2021. "Impact of Fintech on Bank Risk-Taking: Evidence from China," Risks, MDPI, vol. 9(5), pages 1-27, May.
    13. Mustafa Nourallah & Peter Öhman & Muslim Amin, 2022. "No trust, no use: how young retail investors build initial trust in financial robo-advisors," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 21(1), pages 60-82, July.
    14. Glyn Atwal & Douglas Bryson, 2021. "Antecedents of intention to adopt artificial intelligence services by consumers in personal financial investing," Post-Print hal-03330375, HAL.
    15. Oehler, Andreas & Horn, Matthias, 2024. "Does ChatGPT provide better advice than robo-advisors?," Finance Research Letters, Elsevier, vol. 60(C).
    16. Isaia, Eleonora & Oggero, Noemi, 2022. "The potential use of robo-advisors among the young generation: Evidence from Italy," Finance Research Letters, Elsevier, vol. 48(C).
    17. Dominik M. Piehlmaier, 2022. "Overconfidence and the adoption of robo-advice: why overconfident investors drive the expansion of automated financial advice," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    18. Shanmuganathan, Manchuna, 2020. "Behavioural finance in an era of artificial intelligence: Longitudinal case study of robo-advisors in investment decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    19. Seiler, Volker & Fanenbruck, Katharina Maria, 2021. "Acceptance of digital investment solutions: The case of robo advisory in Germany," Research in International Business and Finance, Elsevier, vol. 58(C).
    20. Bassen, Alexander & Shu, Hao & Tan, Weiqiang, 2023. "Green revenues and stock returns: Cross-market evidence," Finance Research Letters, Elsevier, vol. 52(C).
    21. Baker, T. & Dellaert, B.G.C., 2017. "Regulating Robo Advice across the Financial Services Industry," ERIM Report Series Research in Management ERS-2017-004-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    22. Matthias Horn & Andreas Oehler, 2020. "Automated portfolio rebalancing: Automatic erosion of investment performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 489-505, October.
    23. Tiberius, Victor & Gojowy, Robin & Dabić, Marina, 2022. "Forecasting the future of robo advisory: A three-stage Delphi study on economic, technological, and societal implications," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    24. Andreas Oehler & Matthias Horn & Stefan Wendt, 2022. "Investor Characteristics and their Impact on the Decision to use a Robo-advisor," Journal of Financial Services Research, Springer;Western Finance Association, vol. 62(1), pages 91-125, October.
    25. Brenner, Lukas & Meyll, Tobias, 2020. "Robo-advisors: A substitute for human financial advice?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    26. Ibrahim Filiz & Jan René Judek & Marco Lorenz & Markus Spiwoks, 2022. "Algorithm Aversion as an Obstacle in the Establishment of Robo Advisors," JRFM, MDPI, vol. 15(8), pages 1-25, August.
    27. Tao, Ran & Su, Chi-Wei & Xiao, Yidong & Dai, Ke & Khalid, Fahad, 2021. "Robo advisors, algorithmic trading and investment management: Wonders of fourth industrial revolution in financial markets," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    28. Litterscheidt, Rouven & Streich, David J., 2020. "Financial education and digital asset management: What's in the black box?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    29. Mikhail Beketov & Kevin Lehmann & Manuel Wittke, 2018. "Robo Advisors: quantitative methods inside the robots," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 363-370, October.
    30. Lucey, Brian M. & Vigne, Samuel A. & Ballester, Laura & Barbopoulos, Leonidas & Brzeszczynski, Janusz & Carchano, Oscar & Dimic, Nebojsa & Fernandez, Viviana & Gogolin, Fabian & González-Urteaga, Ana , 2018. "Future directions in international financial integration research - A crowdsourced perspective," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 35-49.
    31. Xuhui Wang & Asad Hassan Butt & Qilin Zhang & Hassan Ahmad & Muhammad Noman Shafique, 2021. "Intention to Use AI-Powered Financial Investment Robo-Advisors in the M-Banking Sector of Pakistan," Information Resources Management Journal (IRMJ), IGI Global, vol. 34(4), pages 1-27, October.
    32. Dominik Jung & Verena Dorner & Christof Weinhardt & Hakan Pusmaz, 2018. "Designing a robo-advisor for risk-averse, low-budget consumers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 367-380, August.
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