IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/19-27.html
   My bibliography  Save this paper

Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments

Author

Listed:
  • George Evans
  • Cars Hommes
  • Bruce McGough
  • Isabelle Salle

Abstract

Most models in finance assume that agents make trading plans over the infinite future. We consider instead that they are boundedly rational and may only form forecasts over a limited horizon. We explore how participants in financial markets trading over finite horizons affect the level and the volatility of the price. In our theoretical model, agents with different planning horizons may hold different expectations over those horizons and trade the asset accordingly. We derive testable implications in the lab under various theories of expectation formation over those horizons. Then we design a laboratory experiment to test these theoretical implications against human behaviour. Our experiment confirms most of our theoretical hypotheses. Short-horizon trading favors deviations of the asset price from fundamentals. By contrast, a modest share of long-horizon traders is enough for the price to stabilize around its fundamental value. This is because short-horizon traders tend to coordinate their price forecasts using non-fundamental factors, such as recent price trends, in choosing their trading strategies. Long-horizon traders hold more heterogeneous views about future price developments, which prevents such trend-chasing behaviour.

Suggested Citation

  • George Evans & Cars Hommes & Bruce McGough & Isabelle Salle, 2019. "Are Long-Horizon Expectations (De-)Stabilizing? Theory and Experiments," Staff Working Papers 19-27, Bank of Canada.
  • Handle: RePEc:bca:bocawp:19-27
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2019/08/swp2019-27.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hirota, Shinichi & Sunder, Shyam, 2007. "Price bubbles sans dividend anchors: Evidence from laboratory stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1875-1909, June.
    2. Klaus Adam, 2007. "Experimental Evidence on the Persistence of Output and Inflation," Economic Journal, Royal Economic Society, vol. 117(520), pages 603-636, April.
    3. William A. Branch & George W. Evans & Bruce McGough, 2010. "Finite Horizon Learning," University of Oregon Economics Department Working Papers 2010-15, University of Oregon Economics Department.
    4. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.
    5. Bullard, James & Evans, George W. & Honkapohja, Seppo, 2010. "A Model Of Near-Rational Exuberance," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 166-188, April.
    6. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2021. "Managing self-organization of expectations through monetary policy: A macro experiment," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 170-186.
    7. Brent Bundick & Craig S. Hakkio, 2015. "Are longer-term inflation expectations stable?," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-3, March.
    8. Anita Kopányi-Peuker & Matthias Weber & Lauren Cohen, 2021. "Experience Does Not Eliminate Bubbles: Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4450-4485.
    9. Frankel, Jeffrey A. & Froot, Kenneth A., 1987. "Short-term and long-term expectations of the yen/dollar exchange rate: Evidence from survey data," Journal of the Japanese and International Economies, Elsevier, vol. 1(3), pages 249-274, September.
    10. Hirota, Shinichi & Sunder, Shyam, 2007. "Price bubbles sans dividend anchors: Evidence from laboratory stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1875-1909, June.
    11. Bruce Preston, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," International Journal of Central Banking, International Journal of Central Banking, vol. 1(2), September.
    12. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    13. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
    14. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.
    15. Cars Hommes, 2021. "Behavioral and Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach," Journal of Economic Literature, American Economic Association, vol. 59(1), pages 149-219, March.
    16. Katerina Sherstyuk & Nori Tarui & Tatsuyoshi Saijo, 2013. "Payment schemes in infinite-horizon experimental games," Experimental Economics, Springer;Economic Science Association, vol. 16(1), pages 125-153, March.
    17. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    18. Marimon Ramon & Spear Stephen E. & Sunder Shyam, 1993. "Expectationally Driven Market Volatility: An Experimental Study," Journal of Economic Theory, Elsevier, vol. 61(1), pages 74-103, October.
    19. George W Evans & Roger Guesnerie & Bruce McGough, 2019. "Eductive Stability in Real Business Cycle Models," The Economic Journal, Royal Economic Society, vol. 129(618), pages 821-852.
    20. Ernan Haruvy & Yaron Lahav & Charles N. Noussair, 2007. "Traders' Expectations in Asset Markets: Experimental Evidence," American Economic Review, American Economic Association, vol. 97(5), pages 1901-1920, December.
    21. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    22. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    23. Michael Woodford, 2019. "Monetary Policy Analysis When Planning Horizons Are Finite," NBER Macroeconomics Annual, University of Chicago Press, vol. 33(1), pages 1-50.
    24. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    25. John Duffy & Janet Hua Jiang & Huan Xie, 2019. "Experimental Asset Markets with an Indefinite Horizon," Cahiers de recherche 08-2019, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    26. Charles N. Noussair & Charles R. Plott & Raymond G. Riezman, 2013. "An Experimental Investigation of the Patterns of International Trade," World Scientific Book Chapters, in: Raymond Riezman (ed.), International Trade Agreements and Political Economy, chapter 17, pages 299-328, World Scientific Publishing Co. Pte. Ltd..
    27. Charles Noussair & Steven Tucker, 2006. "Futures Markets And Bubble Formation In Experimental Asset Markets," Pacific Economic Review, Wiley Blackwell, vol. 11(2), pages 167-184, June.
    28. de Jong, Johan & Sonnemans, Joep & Tuinstra, Jan, 2022. "The effect of futures markets on the stability of commodity prices," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 176-211.
    29. Grandmont, Jean-Michel & Laroque, Guy, 1986. "Stability of cycles and expectations," Journal of Economic Theory, Elsevier, vol. 40(1), pages 138-151, October.
    30. George W. Evans, 2001. "Expectations in Macroeconomics. Adaptive versus Eductive Learning," Revue Économique, Programme National Persée, vol. 52(3), pages 573-582.
    31. William A. Branch & George W. Evans, 2011. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 159-191, July.
    32. John H. Kagel & Alvin E. Roth, 2016. "Macroeconomics: A Survey of Laboratory Research," Introductory Chapters, in: The Handbook of Experimental Economics, Volume 2, Princeton University Press.
    33. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
    34. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
    35. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
    36. Olivier J. Blanchard & Mark W. Watson, 1982. "Bubbles, Rational Expectations and Financial Markets," NBER Working Papers 0945, National Bureau of Economic Research, Inc.
    37. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    38. Guillaume R. Fréchette & Sevgi Yuksel, 2017. "Infinitely repeated games in the laboratory: four perspectives on discounting and random termination," Experimental Economics, Springer;Economic Science Association, vol. 20(2), pages 279-308, June.
    39. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Post-Print halshs-02285233, HAL.
    40. Shiller, Robert J, 1990. "Speculative Prices and Popular Models," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 55-65, Spring.
    41. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2015. "Investment Horizons and Price Indeterminacy in Financial Markets," Cowles Foundation Discussion Papers 2001, Cowles Foundation for Research in Economics, Yale University.
    42. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    43. repec:hal:spmain:info:hdl:2441/7t8isspkbs8hk8kol9kk9sjdl6 is not listed on IDEAS
    44. Michael Woodford & Yinxi Xie, 2019. "Policy Options at the Zero Lower Bound When Foresight is Limited," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 433-437, May.
    45. Gary Charness & Garance Genicot, 2009. "Informal Risk Sharing in an Infinite‐Horizon Experiment," Economic Journal, Royal Economic Society, vol. 119(537), pages 796-825, April.
    46. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    47. William A. Branch & George W. Evans & Bruce McGough, 2010. "Finite Horizon Learning," University of Oregon Economics Department Working Papers 2010-15, University of Oregon Economics Department.
    48. Rholes, Ryan & Petersen, Luba, 2021. "Should central banks communicate uncertainty in their projections?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 320-341.
    49. Sean Crockett & John Duffy & Yehuda Izhakian, 2019. "An Experimental Test of the Lucas Asset Pricing Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 627-667.
    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. Lustenhouwer, Joep, 2020. "Fiscal Stimulus In Expectations-Driven Liquidity Traps," Working Papers 0683, University of Heidelberg, Department of Economics.
    2. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    3. Ina Hajdini, 2022. "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," Working Papers 22-03R, Federal Reserve Bank of Cleveland, revised 06 Mar 2023.
    4. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2020.
    5. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    6. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
    7. Airaudo, Marco, 2020. "Temptation and forward-guidance," Journal of Economic Theory, Elsevier, vol. 186(C).
    8. Lustenhouwer, Joep & Salle, Isabelle, 2022. "Forecast revisions in the presence of news: a lab investigation," Working Papers 0714, University of Heidelberg, Department of Economics.
    9. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    10. Lustenhouwer, Joep, 2020. "Fiscal stimulus in expectations-driven liquidity traps," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 661-687.
    11. Alfarano, Simone & Camacho-Cuena, Eva & Colasante, Annarita & Ruiz-Buforn, Alba, 2022. "The effect of time-varying fundamentals in Learning-to-Forecast Experiments," MPRA Paper 113086, University Library of Munich, Germany.

    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. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    3. Hirota, Shinichi & Huber, Juergen & Stöckl, Thomas & Sunder, Shyam, 2022. "Speculation, money supply and price indeterminacy in financial markets: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1275-1296.
    4. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    5. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
    6. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    7. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    8. Huan Xie & Jipeng Zhang, 2016. "Bubbles and experience: An experiment with a steady inflow of new traders," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1349-1373, April.
    9. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    10. John Duffy & Janet Hua Jiang & Huan Xie, 2021. "Pricing Indefinitely Lived Assets: Experimental Evidence," CIRANO Working Papers 2021s-32, CIRANO.
    11. Anthony Newell & Lionel Page, 2017. "Countercyclical risk aversion and self-reinforcing feedback loops in experimental asset markets," QuBE Working Papers 050, QUT Business School.
    12. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    13. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    14. Loukas Balafoutas & Simon Czermak & Marc Eulerich & Helena Fornwagner, 2020. "Incentives For Dishonesty: An Experimental Study With Internal Auditors," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 764-779, April.
    15. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    16. Michael Razen & Jürgen Huber & Michael Kirchler, 2016. "Cash Inflow and Trading Horizon in Asset Markets," Working Papers 2016-06, Faculty of Economics and Statistics, Universität Innsbruck.
    17. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
    18. Matthias Weber & John Duffy & Arthur Schram, 2018. "An Experimental Study of Bond Market Pricing," Journal of Finance, American Finance Association, vol. 73(4), pages 1857-1892, August.
    19. Alfarano, Simone & Camacho-Cuena, Eva & Colasante, Annarita & Ruiz-Buforn, Alba, 2022. "The effect of time-varying fundamentals in Learning-to-Forecast Experiments," MPRA Paper 113086, University Library of Munich, Germany.
    20. Camille Cornand & Paul Hubert, 2021. "Information frictions in inflation expectations among five types of economic agents," Working Papers halshs-03351632, HAL.

    More about this item

    Keywords

    Asset Pricing; Central bank research; Economic models; Financial markets;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E70 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - General

    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:bca:bocawp:19-27. 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/bocgvca.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.