IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10529.html
   My bibliography  Save this paper

Using GPT-4 for Financial Advice

Author

Listed:
  • Christian Fieberg
  • Lars Hornuf
  • David J. Streich

Abstract

We show that the recently released text-based artificial intelligence tool GPT-4 can provide suitable financial advice. The tool suggests specific investment portfolios that reflect an investor’s individual circumstances such as risk tolerance, risk capacity, and sustainability preference. Notably, while the suggested portfolios display home bias and are rather insensitive to the investment horizon, historical risk-adjusted performance is on par with a professionally managed benchmark portfolio. Given the current inability of GPT-4 to provide full-service financial advice, it may be used by financial advisors as a back-office tool for portfolio recommendation.

Suggested Citation

  • Christian Fieberg & Lars Hornuf & David J. Streich, 2023. "Using GPT-4 for Financial Advice," CESifo Working Paper Series 10529, CESifo.
    • Handle: RePEc:ces:ceswps:_10529
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10529.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.
    2. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    3. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
    4. J. Tobin, 1958. "Liquidity Preference as Behavior Towards Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 25(2), pages 65-86.
    5. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    6. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    7. Bae, Kee-Hong & Stulz, René M. & Tan, Hongping, 2008. "Do local analysts know more? A cross-country study of the performance of local analysts and foreign analysts," Journal of Financial Economics, Elsevier, vol. 88(3), pages 581-606, June.
    8. 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).
    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. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    2. repec:zbw:bofitp:2021_014 is not listed on IDEAS
    3. Christian Ehm & Christine Kaufmann & Martin Weber, 2014. "Volatility Inadaptability: Investors Care About Risk, but Cannot Cope with Volatility," Review of Finance, European Finance Association, vol. 18(4), pages 1387-1423.
    4. Yoshihiro Shirai, 2023. "Acceptable Bilateral Gamma Parameters," Papers 2301.05333, arXiv.org.
    5. Andreas Lichtenberger & Joao Paulo Braga & Willi Semmler, 2022. "Green Bonds for the Transition to a Low-Carbon Economy," Econometrics, MDPI, vol. 10(1), pages 1-31, March.
    6. Longsheng Cheng & Mahboubeh Shadabfar & Arash Sioofy Khoojine, 2023. "A State-of-the-Art Review of Probabilistic Portfolio Management for Future Stock Markets," Mathematics, MDPI, vol. 11(5), pages 1-34, February.
    7. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland, Institute for Economies in Transition.
    8. Zareei, Abalfazl, 2019. "Network origins of portfolio risk," Journal of Banking & Finance, Elsevier, vol. 109(C).
    9. Alan J. Auerbach, 1981. "Evaluating the Taxation of Risky Assets," NBER Working Papers 0806, National Bureau of Economic Research, Inc.
    10. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    11. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    12. Jan Kallsen & Johannes Muhle-Karbe, 2013. "The General Structure of Optimal Investment and Consumption with Small Transaction Costs," Papers 1303.3148, arXiv.org, revised May 2015.
    13. Jacobs, Heiko & Müller, Sebastian & Weber, Martin, 2014. "How should individual investors diversify? An empirical evaluation of alternative asset allocation policies," Journal of Financial Markets, Elsevier, vol. 19(C), pages 62-85.
    14. Sandra E Black & Paul J Devereux & Petter Lundborg & Kaveh Majlesi, 2018. "Learning to Take Risks? The Effect of Education on Risk-Taking in Financial Markets," Review of Finance, European Finance Association, vol. 22(3), pages 951-975.
    15. Pelizzon, Loriana & Weber, Guglielmo, 2009. "Efficient portfolios when housing needs change over the life cycle," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2110-2121, November.
    16. Athar Iqbal & Akhtiar Ali & Peter Xavier D’Abreo, 2017. "Fama And French Three Factor Model Application In The Pakistan Stock Exchange (Pse)," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 13(1), pages 13-11.
    17. Leitner Johannes, 2005. "Optimal portfolios with expected loss constraints and shortfall risk optimal martingale measures," Statistics & Risk Modeling, De Gruyter, vol. 23(1/2005), pages 49-66, January.
    18. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    19. Luc Arrondel & André Masson, 1989. "Déterminants individuels de la composition du patrimoine : France 1980," Revue Économique, Programme National Persée, vol. 40(3), pages 441-502.
    20. Raj Chetty & László Sándor & Adam Szeidl, 2017. "The Effect of Housing on Portfolio Choice," Journal of Finance, American Finance Association, vol. 72(3), pages 1171-1212, June.
    21. Taras Bodnar & Yarema Okhrin & Valdemar Vitlinskyy & Taras Zabolotskyy, 2018. "Determination and estimation of risk aversion coefficients," Computational Management Science, Springer, vol. 15(2), pages 297-317, June.

    More about this item

    Keywords

    GPT-4; ChatGPT; financial advice; artificial intelligence; portfolio management;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:_10529. 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.