IDEAS home Printed from https://ideas.repec.org/p/ssa/lemwps/2020-17.html
   My bibliography  Save this paper

Stock Recommendations from Stochastic Discounted Cash Flows

Author

Listed:
  • Giulio Bottazzi
  • Francesco Cordoni
  • Giulia Livieri
  • Stefano Marmi

Abstract

This paper presents two stocks recommendation systems based on a stochastic characterization of firm present value that extends the conventional discounted cash flow analysis. In the Single-Stock Quantile recommendation system, the market price of a company's stocks is compared with the estimated distribution of the company fair value to obtain an individual measure of mispricing, while in the Cross-Sectional Quantile system, a relative measure of mispricing is built using the fair value distribution of all firms at the same time. Both systems use mispricing information to build sell side and buy side portfolios. We provide a series of statistical exercises that show how these portfolios can consistently deliver significant excess returns, also when rebalancing costs are accounted for.

Suggested Citation

  • Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2020. "Stock Recommendations from Stochastic Discounted Cash Flows," LEM Papers Series 2020/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2020/17
    as

    Download full text from publisher

    File URL: http://www.lem.sssup.it/WPLem/files/2020-17.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harvey,Andrew C., 1991. "Forecasting, Structural Time Series Models and the Kalman Filter," Cambridge Books, Cambridge University Press, number 9780521405737, November.
    2. Maged Ali & Ramzi El-Haddadeh & Tillal Eldabi & Ebrahim Mansour, 2010. "Simulation discounted cash flow valuation for internet companies," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 6(1), pages 18-33.
    3. Casey, Christopher, 2001. "Corporate valuation, capital structure and risk management: A stochastic DCF approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 311-325, December.
    4. 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.
    5. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    6. Ardia, David & Boudt, Kris, 2018. "The peer performance ratios of hedge funds," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 351-368.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Xin Chang & Sudipto Dasgupta & George Wong & Jiaquan Yao, 2014. "Cash-Flow Sensitivities and the Allocation of Internal Cash Flow," The Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3628-3657.
    9. Damodaran, Aswath, 2007. "Valuation Approaches and Metrics: A Survey of the Theory and Evidence," Foundations and Trends(R) in Finance, now publishers, vol. 1(8), pages 693-784, April.
    10. Lawrence D. Brown & Andrew C. Call & Michael B. Clement & Nathan Y. Sharp, 2015. "Inside the “Black Box” of Sell‐Side Financial Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 53(1), pages 1-47, March.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    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. Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2023. "Uncertainty in firm valuation and a cross-sectional misvaluation measure," Annals of Finance, Springer, vol. 19(1), pages 63-93, March.
    2. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    3. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
    4. repec:fgv:epgrbe:v:67:n:1:a:3 is not listed on IDEAS
    5. Peralta, Gustavo & Zareei, Abalfazl, 2016. "A network approach to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 157-180.
    6. Sebastian Lobe & Christian Walkshäusl, 2016. "Vice versus virtue investing around the world," Review of Managerial Science, Springer, vol. 10(2), pages 303-344, March.
    7. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
    8. Chen Su, 2023. "The price impact of analyst revisions and the state of the economy: Evidence around the world," The Financial Review, Eastern Finance Association, vol. 58(4), pages 887-930, November.
    9. Adhikari, Binay K. & Agrawal, Anup, 2018. "Peer influence on payout policies," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 615-637.
    10. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    11. Souček, Michael & Wasserek, Thomas, 2014. "Impact of analyst recommendations on stock returns: Evidence from the German stock market," Discussion Papers 358, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    12. Fletcher, Jonathan, 2018. "Bayesian tests of global factor models," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 279-289.
    13. Philipp Stephan & Rüdiger Nitzsch, 2013. "Do individual investors’ stock recommendations in online communities contain investment value?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(2), pages 149-186, June.
    14. Thabang Mokoaleli-Mokoteli & Richard J. Taffler & Vineet Agarwal, 2009. "Behavioural Bias and Conflicts of Interest in Analyst Stock Recommendations," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3-4), pages 384-418.
    15. Marie Brière & Ariane Szafarz, 2021. "When it rains, it pours: Multifactor asset management in good and bad times," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(3), pages 641-669, September.
    16. Jeffrey Hobbs & Vivek Singh, 2015. "A comparison of buy‐side and sell‐side analysts," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 42-51, January.
    17. Cheolwoo Lee, 2013. "Analyst firm parent–subsidiary relationship and conflict of interest: evidence from IPO recommendations," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(3), pages 763-789, September.
    18. Mei-Chen Lin, 2020. "When analysts encounter lottery-like stocks: lottery-like stocks and analyst stock recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 327-353, July.
    19. Hansen, Erwin, 2022. "Economic evaluation of asset pricing models under predictability," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 50-66.
    20. Marina Balboa & J. Carlos Gómez‐Sala & Germán López‐Espinosa, 2009. "The Value of Adjusting the Bias in Recommendations: International Evidence," European Financial Management, European Financial Management Association, vol. 15(1), pages 208-230, January.
    21. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021. "Momentum-managed equity factors," SAFE Working Paper Series 317, Leibniz Institute for Financial Research SAFE.

    More about this item

    Keywords

    Stochastic Discounted Cash Flow; Asset Valuation; Valuation Uncertainty; Portfolio Strategy.;
    All these keywords.

    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:ssa:lemwps:2020/17. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/labssit.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.