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Robo-Advisors : Investing through Machines

Author

Listed:
  • Abraham,Facundo
  • Schmukler,Sergio L.
  • Tessada,Jose

Abstract

Investing through online automated platforms, known as robo-advisors, is increasingly popular. Robo-advisors expand access to wealth management services by making it easier and less costly to open investments accounts and receive financial advice, as well as plan and automate investment decisions. However, the rise of robo-advisors requires consumers to understand the limitations of these services and to get proper financial education. Policy makers need to grapple with the impact of robo-advisors on the overall financial system, as well as reassess their regulatory and supervisory practices.

Suggested Citation

  • Abraham,Facundo & Schmukler,Sergio L. & Tessada,Jose, 2019. "Robo-Advisors : Investing through Machines," Research and Policy Briefs 134881, The World Bank.
    • Handle: RePEc:wbk:wbkrpb:134881
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    Citations

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    Cited by:

    1. Antonio Lombardi Netto & Valerio Antonio Pamplona Salomon & Miguel Angel Ortiz Barrios, 2021. "Multi-Criteria Analysis of Green Bonds: Hybrid Multi-Method Applications," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    2. Muhammad Anshari & Mohammad Nabil Almunawar & Masairol Masri, 2022. "Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor," JRFM, MDPI, vol. 15(4), pages 1-9, April.
    3. 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).
    4. 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.
    5. Thomas Philippon, 2020. "On fintech and financial inclusion," BIS Working Papers 841, Bank for International Settlements.
    6. Sharbek Nermin, 2022. "How Traditional Financial Institutions have adapted to Artificial Intelligence, Machine Learning and FinTech?," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 837-848, August.
    7. Bai, Zefeng, 2021. "Does robo-advisory help reduce the likelihood of carrying a credit card debt? Evidence from an instrumental variable approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    8. Wang, Yang & Xiuping, Sui & Zhang, Qi, 2021. "Can fintech improve the efficiency of commercial banks? —An analysis based on big data," Research in International Business and Finance, Elsevier, vol. 55(C).
    9. Thomas Philippon, 2019. "On Fintech and Financial Inclusion," NBER Working Papers 26330, National Bureau of Economic Research, Inc.
    10. Darren Pawski & Robert Powell & Anna Golab, 2022. "An Analysis of Whether Privately Owned Financial Planning Practices Are Transitioning to Fully Independent Advice Providers," JRFM, MDPI, vol. 15(8), pages 1-16, August.

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