IDEAS home Printed from https://ideas.repec.org/p/red/sed019/187.html
   My bibliography  Save this paper

New Tests of Expectation Formation with Applications to Asset Pricing Models

Author

Listed:
  • Pei Kuang

    (University of Birmingham)

Abstract

The paper develops new tests of expectation formation which are generally applicable in financial and macroeconomic models. The tests utilize cointegration restrictions among forecasts of model variables. Survey data suggests forecasts of stock prices are not cointegrated with forecasts of consumption and rejects this aspect of the formation of stock price expectations in a wide range of asset pricing models, including rational expectations and various learning or sentiment-based models. We show adding sentiment (or judgment) directly to subjective stock price forecasts can reconcile equity pricing models with the new survey evidence.

Suggested Citation

  • Pei Kuang, 2019. "New Tests of Expectation Formation with Applications to Asset Pricing Models," 2019 Meeting Papers 187, Society for Economic Dynamics.
    • Handle: RePEc:red:sed019:187
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2019/paper_187.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Bullard & George W. Evans & Seppo Honkapohja, 2008. "Monetary Policy, Judgment, and Near-Rational Exuberance," American Economic Review, American Economic Association, vol. 98(3), pages 1163-1177, June.
    2. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    3. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2012. "An Empirical Evaluation of the Long-Run Risks Model for Asset Prices," Critical Finance Review, now publishers, vol. 1(1), pages 183-221, January.
    4. Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2021. "Do survey expectations of stock returns reflect risk adjustments?," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 723-740.
    5. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
    6. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    7. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    8. Pedro Bordalo & Nicola Gennaioli & Rafael La Porta & Andrei Shleifer, 2019. "Diagnostic Expectations and Stock Returns," Journal of Finance, American Finance Association, vol. 74(6), pages 2839-2874, December.
    9. Lawrence J. Christiano & Michele Boldrin & Jonas D. M. Fisher, 2001. "Habit Persistence, Asset Returns, and the Business Cycle," American Economic Review, American Economic Association, vol. 91(1), pages 149-166, March.
    10. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    11. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    12. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    13. Jermann, Urban J., 1998. "Asset pricing in production economies," Journal of Monetary Economics, Elsevier, vol. 41(2), pages 257-275, April.
    14. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    15. Massimiliano Croce, Mariano, 2014. "Long-run productivity risk: A new hope for production-based asset pricing?," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 13-31.
    16. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
    17. Michael Johannes & Lars A. Lochstoer & Yiqun Mou, 2016. "Learning about Consumption Dynamics," Journal of Finance, American Finance Association, vol. 71(2), pages 551-600, April.
    18. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
    19. Yu, Jianfeng, 2013. "A sentiment-based explanation of the forward premium puzzle," Journal of Monetary Economics, Elsevier, vol. 60(4), pages 474-491.
    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. Pei Kuang & Renbin Zhang & Tongbin Zhang, 2019. "New Tests of Expectation Formation with Applications to Asset Pricing Models," Discussion Papers 19-05, Department of Economics, University of Birmingham.
    2. Stefan Nagel & Zhengyang Xu, 2022. "Asset Pricing with Fading Memory," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2190-2245.
    3. Zhang, Tongbin, 2021. "Stock prices and the risk-free rate: An internal rationality approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    4. Kyle Jurado, 2016. "Advance Information and Distorted Beliefs in Macroeconomic and Financial Fluctuations," 2016 Meeting Papers 154, Society for Economic Dynamics.
    5. Weber, Martin & Kieren, Pascal & Mueller-Dethard, Jan, 2020. "Why so Negative? Belief Formation and Risk Taking in Boom and Bust Markets," CEPR Discussion Papers 14647, C.E.P.R. Discussion Papers.
    6. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
    7. Hirshleifer, David & Li, Jun & Yu, Jianfeng, 2015. "Asset pricing in production economies with extrapolative expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 87-106.
    8. Adam, Klaus & Merkel, Sebastian, 2019. "Stock price cycles and business cycles," Working Paper Series 2316, European Central Bank.
    9. Katsuhiro Oshima, 2019. "Heterogeneous Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1013, Kyoto University, Institute of Economic Research.
    10. Ricardo De La O & Sean Myers, 2021. "Subjective Cash Flow and Discount Rate Expectations," Journal of Finance, American Finance Association, vol. 76(3), pages 1339-1387, June.
    11. Tortorice, Daniel L., 2018. "Equity return predictability, time varying volatility and learning about the permanence of shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 315-343.
    12. Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2021. "Do survey expectations of stock returns reflect risk adjustments?," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 723-740.
    13. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    14. Bai, Hang & Zhang, Lu, 2022. "Searching for the equity premium," Journal of Financial Economics, Elsevier, vol. 143(2), pages 897-926.
    15. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    16. Babiak, Mykola & Kozhan, Roman, 2024. "Parameter learning in production economies," Journal of Monetary Economics, Elsevier, vol. 144(C).
    17. Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022. "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 112(7), pages 2269-2315, July.
    18. Katsuhiro Oshima, 2021. "Heterogeneous beliefs, monetary policy, and stock price volatility," Annals of Finance, Springer, vol. 17(1), pages 79-125, March.
    19. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    20. Katsuhiro Oshima, 2019. "Subjective Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1012, Kyoto University, Institute of Economic Research.

    More about this item

    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:red:sed019:187. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.