IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_8225.html
   My bibliography  Save this paper

Robo-Advising

Author

Listed:
  • Francesco D'Acunto
  • Alberto G. Rossi

Abstract

In this work, we first discuss the limitations of traditional financial advice, which led to the emergence of robo-advising. We then describe the main features of robo-advising and propose a taxonomy of robo-advisors based on four defining dimensions---personalization, discretion, involvement, and human interaction. Building on these premises, we delve into the theoretical and empirical evidence on the design and effects of robo-advisors on two major sets of financial decisions, that is, investment choices (for both short- or long-term horizons) and the allocation of financial resources between spending and saving. We conclude by elaborating on five broadly open issues in robo-advising, which beget theoretical and empirical research by scholars in economics, finance, psychology, law, philosophy, as well as regulators and industry practitioners.

Suggested Citation

  • Francesco D'Acunto & Alberto G. Rossi, 2020. "Robo-Advising," CESifo Working Paper Series 8225, CESifo.
    • Handle: RePEc:ces:ceswps:_8225
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8225_0.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bing Han & David Hirshleifer & Johan Walden, 2023. "Visibility Bias in the Transmission of Consumption Beliefs and Undersaving," Journal of Finance, American Finance Association, vol. 78(3), pages 1647-1704, June.
    2. Scott R. Baker, 2018. "Debt and the Response to Household Income Shocks: Validation and Application of Linked Financial Account Data," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1504-1557.
    3. Martin Browning & Thomas F. Crossley, 2001. "The Life-Cycle Model of Consumption and Saving," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 3-22, Summer.
    4. Antonio Gargano & Alberto G Rossi, 2018. "Does It Pay to Pay Attention?," The Review of Financial Studies, Society for Financial Studies, vol. 31(12), pages 4595-4649.
    5. 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.
    6. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    7. Catherine D'Hondt & Rudy De Winne & Eric Ghysels & Steve Raymond, 2019. "Artificial Intelligence Alter Egos: Who benefits from Robo-investing?," Papers 1907.03370, arXiv.org.
    8. Christopher D. Carroll, 1997. "Buffer-Stock Saving and the Life Cycle/Permanent Income Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 1-55.
    9. Francesco D'Acunto & Alberto G. Rossi & Michael Weber & Michael Weber, 2019. "Crowdsourcing financial information to change spending behavior," CESifo Working Paper Series 7533, CESifo.
    10. Christopher D. Carroll, 2000. "Requiem for the Representative Consumer? Aggregate Implications of Microeconomic Consumption Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 110-115, May.
    11. Joao F. Cocco, 2005. "Consumption and Portfolio Choice over the Life Cycle," The Review of Financial Studies, Society for Financial Studies, vol. 18(2), pages 491-533.
    12. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco D’Acunto & Thomas Rauter & Christoph K. Scheuch & Michael Weber, 2020. "Perceived Precautionary Savings Motives: Evidence from FinTech," NBER Working Papers 26817, National Bureau of Economic Research, Inc.
    2. Marco Di Maggio & Amir Kermani & Kaveh Majlesi, 2020. "Stock Market Returns and Consumption," Journal of Finance, American Finance Association, vol. 75(6), pages 3175-3219, December.
    3. Garber, Gabriel & Mian, Atif & Ponticelli, Jacopo & Sufi, Amir, 2024. "Consumption smoothing or consumption binging? The effects of government-led consumer credit expansion in Brazil," Journal of Financial Economics, Elsevier, vol. 156(C).
    4. Binswanger, Johannes, 2011. "Dynamic decision making with feasibility goals: A procedural-rationality approach," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 219-228, May.
    5. Binswanger, Johannes, 2012. "Life cycle saving: Insights from the perspective of bounded rationality," European Economic Review, Elsevier, vol. 56(3), pages 605-623.
    6. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    7. Tullio Jappelli & Mario Padula & Luigi Pistaferri, 2008. "A Direct Test of The Buffer-Stock Model of Saving," Journal of the European Economic Association, MIT Press, vol. 6(6), pages 1186-1210, December.
    8. Briggs, Joseph & Cesarini, David & Lindqvist, Erik & Östling, Robert, 2021. "Windfall gains and stock market participation," Journal of Financial Economics, Elsevier, vol. 139(1), pages 57-83.
    9. Feigenbaum James A. & Li Geng, 2012. "Life Cycle Dynamics of Income Uncertainty and Consumption," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, May.
    10. Alessandro Bucciol, 2007. "Life-Cycle Models, Economic Puzzles and Temptation Preferences," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 115-144, March.
    11. Binswanger, Johannes, 2010. "Understanding the heterogeneity of savings and asset allocation: A behavioral-economics perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 296-317, November.
    12. D’Acunto, Francesco & Rossi, Alberto G. & Weber, Michael, 2024. "Crowdsourcing peer information to change spending behavior," Journal of Financial Economics, Elsevier, vol. 157(C).
    13. Kraft, Holger & Munk, Claus & Seifried, Frank Thomas & Steffensen, Mogens, 2014. "Consumption and wage humps in a life-cycle model with education," SAFE Working Paper Series 53, Leibniz Institute for Financial Research SAFE.
    14. Holger Kraft & Claus Munk & Frank Thomas Seifried & Sebastian Wagner, 2017. "Consumption habits and humps," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(2), pages 305-330, August.
    15. Bullard, James & Feigenbaum, James, 2007. "A leisurely reading of the life-cycle consumption data," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2305-2320, November.
    16. James Feigenbaum & Geng Li, 2008. "Lifecycle Dynamics of Income Uncertainty and Consumption," Working Paper 360, Department of Economics, University of Pittsburgh, revised Jul 2008.
    17. Erol Akçay & David Hirshleifer, 2021. "Social finance as cultural evolution, transmission bias, and market dynamics," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015568118-, June.
    18. Drouhin, Nicolas, 2015. "A rank-dependent utility model of uncertain lifetime," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 208-224.
    19. Feigenbaum, James, 2008. "Can mortality risk explain the consumption hump?," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 844-872, September.
    20. Antonia Diaz & Maria Jose Luengo Prado, 2008. "On the User Cost and Homeownership," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 584-613, July.

    More about this item

    Keywords

    FinTech; behavioral economics; algorithmic advice; A1; financial regulation; financial literacy;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_8225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.