IDEAS home Printed from https://ideas.repec.org/p/thk/wpaper/2.html
   My bibliography  Save this paper

New Evidence for the Present-Value Model of Stock Prices: Why the REH Version Failed Empirically

Author

Listed:
  • Roman Frydman

    (Department of Economics, New York University)

  • Michael Goldberg

    (Peter T. Paul College of Business and Economics, University of New Hampshire)

  • Nicholas Mangee

    (Department of Economics, Armstrong State University)

Abstract

Shiller (1981) and others have shown that the quantitative predictions of the REH present-value model are inconsistent with time-series data on stock prices and dividends. In this paper, we assess the empirical relevance of the model without explicitly representing how a rational market participant forecasts dividends and interest rates. We find that stock prices are driven largely by news about fundamental factors. Moreover, this news moves prices through changes in the market’s forecasts of dividends and/or interest rates in ways that are remarkably consistent with the present-value model. We also find that the structure of the process underpinning stock prices undergoes quantitative change, and that both fundamental and psychological factors play an important role in this process. Taken together, Shiller’s findings and ours point to a novel explanation of the present-value model’s empirical difficulties. They also imply that macroeconomists and finance theorists should rethink how to represent rational forecasting in real-world markets.

Suggested Citation

  • Roman Frydman & Michael Goldberg & Nicholas Mangee, 2015. "New Evidence for the Present-Value Model of Stock Prices: Why the REH Version Failed Empirically," Working Papers Series 2, Institute for New Economic Thinking.
    • Handle: RePEc:thk:wpaper:2
    DOI: 10.2139/ssrn.2585690
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.2139/ssrn.2585690
    File Function: First version, 2015
    Download Restriction: no
    File URL: https://libkey.io/10.2139/ssrn.2585690?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    2. Driffill, John & Sola, Martin, 1998. "Intrinsic bubbles and regime-switching," Journal of Monetary Economics, Elsevier, vol. 42(2), pages 357-373, July.
    3. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    4. Elizabeth Demers & Clara Vega, 2008. "Soft information in earnings announcements: news or noise?," International Finance Discussion Papers 951, Board of Governors of the Federal Reserve System (U.S.).
    5. Kaminsky, Graciela, 1993. "Is There a Peso Problem? Evidence from the Dollar/Pound Exchange Rate, 1976-1987," American Economic Review, American Economic Association, vol. 83(3), pages 450-472, June.
    6. George W. Evans & Seppo Honkapohja, 2005. "An Interview with Thomas J. Sargent," CESifo Working Paper Series 1434, CESifo.
    7. John H. Boyd & Jian Hu & Ravi Jagannathan, 2005. "The Stock Market's Reaction to Unemployment News: Why Bad News Is Usually Good for Stocks," Journal of Finance, American Finance Association, vol. 60(2), pages 649-672, April.
    8. Timmermann, Allan, 1994. "Present value models with feedback : Solutions, stability, bubbles, and some empirical evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 18(6), pages 1093-1119, November.
    9. Roman Frydman & Michael Goldberg, 2015. "Change and Rationality in Macroeconomics and Finance Theory: A New Rational Expectations Hypothesis," Working Papers Series 8, Institute for New Economic Thinking.
    10. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    11. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    12. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    13. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    14. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2013. "Which News Moves Stock Prices? A Textual Analysis," NBER Working Papers 18725, National Bureau of Economic Research, Inc.
    15. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    16. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Frydman, Roman & Goldberg, Michael D. & Mangee, Nicholas, 2015. "Knightian uncertainty and stock-price movements: Why the REH present-value model failed empirically," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-50.

    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. Frydman, Roman & Goldberg, Michael D. & Mangee, Nicholas, 2015. "Knightian uncertainty and stock-price movements: Why the REH present-value model failed empirically," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-50.
    2. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2016. "Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 180-188.
    3. Chouliaras, Andreas, 2015. "The Pessimism Factor: SEC EDGAR Form 10-K Textual Analysis and Stock Returns," MPRA Paper 65585, University Library of Munich, Germany.
    4. Ferdinand Graf, 2011. "Mechanically Extracted Company Signals and their Impact on Stock and Credit Markets," Working Paper Series of the Department of Economics, University of Konstanz 2011-18, Department of Economics, University of Konstanz.
    5. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    6. Alexander Kurov, 2012. "What determines the stock market's reaction to monetary policy statements?," Review of Financial Economics, John Wiley & Sons, vol. 21(4), pages 175-187, November.
    7. Steven Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.).
    8. Chong, Terence Tai Leung & Wu, Zhang & Liu, Yuchen, 2019. "Market Reaction to iPhone Rumors," MPRA Paper 92014, University Library of Munich, Germany.
    9. Vegard Høghaug Larsen & Leif Anders Thorsrud, 2022. "Asset returns, news topics, and media effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 838-868, July.
    10. Avramov, Doron & Li, Minwen & Wang, Hao, 2021. "Predicting corporate policies using downside risk: A machine learning approach," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 1-26.
    11. Jacob Boudoukh & Ronen Feldman & Shimon Kogan & Matthew Richardson, 2013. "Which News Moves Stock Prices? A Textual Analysis," NBER Working Papers 18725, National Bureau of Economic Research, Inc.
    12. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2017. "Macro News and Commodity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 68-80, January.
    13. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    14. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2018. "Exchange rates and macro news in emerging markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 516-527.
    15. Dimitri Kroujiline & Maxim Gusev & Dmitry Ushanov & Sergey V. Sharov & Boris Govorkov, 2016. "Forecasting stock market returns over multiple time horizons," Quantitative Finance, Taylor & Francis Journals, vol. 16(11), pages 1695-1712, November.
    16. Nicholas Mangee, 2014. "Stock Prices, the Business Cycle and Contingent Change: Evidence from Bloomberg News Market Wraps," Economics Bulletin, AccessEcon, vol. 34(4), pages 2165-2178.
    17. Gardner, Ben & Scotti, Chiara & Vega, Clara, 2022. "Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements," Journal of Econometrics, Elsevier, vol. 231(2), pages 387-409.
    18. Mao, Huina & Counts, Scott & Bollen, Johan, 2015. "Quantifying the effects of online bullishness on international financial markets," Statistics Paper Series 09, European Central Bank.
    19. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
    20. Roman Frydman & Soren Johansen & Anders Rahbek & Morten Tabor, 2019. "The Knightian Uncertainty Hypothesis: Unforeseeable Change and Muth`s Consistency Constraint in Modeling Aggregate Outcomes," Working Papers Series 92, Institute for New Economic Thinking.

    More about this item

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:thk:wpaper:2. 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: Pia Malaney (email available below). General contact details of provider: https://edirc.repec.org/data/inetnus.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.