IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v42y2026i2p512-526.html

Overreaction through anchoring

Author

Listed:
  • Bürgi, Constantin
  • Ortiz, Julio L.

Abstract

Quarterly-frequency macroeconomic expectations among professional forecasters robustly exhibit overreactions at the forecaster level. Much of the literature has interpreted this as unambiguous evidence that forecasters place uniformly too much weight on new information. However, we document that forecasters partially offset their quarterly revisions within the calendar year. We then propose a model of annual anchoring in which forecasters reshuffle quarterly predictions to become consistent with annual predictions. We estimate our model to fit survey expectations and show that it provides a unified explanation for the above empirical facts. This suggests a more limited role for uniform overreactions to new information.

Suggested Citation

  • Bürgi, Constantin & Ortiz, Julio L., 2026. "Overreaction through anchoring," International Journal of Forecasting, Elsevier, vol. 42(2), pages 512-526.
  • Handle: RePEc:eee:intfor:v:42:y:2026:i:2:p:512-526
    DOI: 10.1016/j.ijforecast.2025.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169207025000706
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijforecast.2025.08.002?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pedro Bordalo & Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2020. "Overreaction in Macroeconomic Expectations," American Economic Review, American Economic Association, vol. 110(9), pages 2748-2782, September.
    2. Nathan Goldstein, 2023. "Tracking Inattention," Journal of the European Economic Association, European Economic Association, vol. 21(6), pages 2682-2725.
    3. George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2021. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 1-86.
    4. Rava Azeredo da Silveira & Yeji Sung & Michael Woodford, 2024. "Optimally Imprecise Memory and Biased Forecasts," American Economic Review, American Economic Association, vol. 114(10), pages 3075-3118, October.
    5. Jean-Paul L’Huillier & Sanjay R Singh & Donghoon Yoo, 2024. "Incorporating Diagnostic Expectations into the New Keynesian Framework," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(5), pages 3013-3046.
    6. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    7. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    8. Francesco Bianchi & Cosmin Ilut & Hikaru Saijo, 2024. "Diagnostic Business Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 129-162.
    9. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    10. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    11. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    12. Leland E. Farmer & Emi Nakamura & Jón Steinsson, 2024. "Learning about the Long Run," Journal of Political Economy, University of Chicago Press, vol. 132(10), pages 3334-3377.
    13. Lucas, Robert E, Jr, 1973. "Some International Evidence on Output-Inflation Tradeoffs," American Economic Review, American Economic Association, vol. 63(3), pages 326-334, June.
    14. Scott R. Baker & Tucker S. McElroy & Xuguang S. Sheng, 2020. "Expectation Formation Following Large, Unexpected Shocks," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 287-303, May.
    15. Bürgi, Constantin, 2017. "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, vol. 154(C), pages 113-116.
    16. Dovern, Jonas & Fritsche, Ulrich & Loungani, Prakash & Tamirisa, Natalia, 2015. "Information rigidities: Comparing average and individual forecasts for a large international panel," International Journal of Forecasting, Elsevier, vol. 31(1), pages 144-154.
    17. Scotese, Carol A., 1994. "Forecast smoothing and the optimal under-utilization of information at the federal reserve," Journal of Macroeconomics, Elsevier, vol. 16(4), pages 653-670.
    18. Jeffrey C. Fuhrer, 2018. "Intrinsic expectations persistence: evidence from professional and household survey expectations," Working Papers 18-9, Federal Reserve Bank of Boston.
    19. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    20. Zarnowitz, Victor, 1985. "Rational Expectations and Macroeconomic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 293-311, October.
    21. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    22. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
    23. Andrew Patton & Allan Timmermann, 2012. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17.
    24. 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.
    25. 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.
    26. Alexandre N. Kohlhas & Ansgar Walther, 2021. "Asymmetric Attention," American Economic Review, American Economic Association, vol. 111(9), pages 2879-2925, September.
    27. Michael Woodford, 2001. "Imperfect Common Knowledge and the Effects of Monetary Policy," NBER Working Papers 8673, National Bureau of Economic Research, Inc.
    28. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    29. Tilman Ehrbeck & Robert Waldmann, 1996. "Why Are Professional Forecasters Biased? Agency versus Behavioral Explanations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(1), pages 21-40.
    30. Gabriel Chodorow-Reich & Adam M Guren & Timothy J McQuade, 2024. "The 2000s Housing Cycle with 2020 Hindsight: A Neo-Kindlebergerian View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 785-816.
    31. Hassan Afrouzi & Spencer Y Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2023. "Overreaction in Expectations: Evidence and Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1713-1764.
    32. Mr. Christopher W. Crowe, 2010. "Consensus Forecasts and Inefficient Information Aggregation," IMF Working Papers 2010/178, International Monetary Fund.
    33. Nicola Gennaioli & Andrei Shleifer, 2010. "What Comes to Mind," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1399-1433.
    34. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    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. is not listed on IDEAS
    2. Tucker S. McElroy & Xuguang Simon Sheng, 2026. "An Instrumental Variables Approach to Testing Forecast Efficiency," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(1), pages 77-87, January.
    3. Meyer-Gohde, Alexander & Tzaawa-Krenzler, Mary, 2023. "Sticky information and the Taylor principle," IMFS Working Paper Series 189, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

    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. Conrad, Christian & Lahiri, Kajal, 2023. "Heterogeneous expectations among professional forecasters," ZEW Discussion Papers 23-062, ZEW - Leibniz Centre for European Economic Research.
    2. Chua, Yeow Hwee & Hong, Zu Yao, 2026. "Tail risk and expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 242(C).
    3. Born, Benjamin & Enders, Zeno & Müller, Gernot, 2023. "On FIRE, news, and expectations," CEPR Discussion Papers 18259, Centre for Economic Policy Research.
      • Born, Benjamin & Enders, Zeno & Müller, Gernot J., 2023. "On FIRE, news, and expectations," Working Papers 42, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    4. Gerotto, Luca & Paradiso, Antonio & Pellizzari, Paolo, 2025. "A tale of inattentiveness and the loss function: A model for household-level macroeconomic expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
    5. Junyi Liao, 2026. "Adaptive expectations and reaction to information," Economica, London School of Economics and Political Science, vol. 93(370), pages 488-523, April.
    6. Aktuğ, Emrehan & Rezghi, Abolfazl, 2025. "Asymmetric overreaction," European Economic Review, Elsevier, vol. 180(C).
    7. Hagenhoff, Tim & Lustenhouwer, Joep, 2023. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    8. Kohlhas, Alexandre N. & Robertson, Donald, 2025. "Cautious expectations," Journal of Monetary Economics, Elsevier, vol. 155(S).
    9. Filippo Natoli & Sharath Sonti, 2026. "Overconfident forecasters and the impact of inflation information: evidence from a randomized survey experiment," Temi di discussione (Economic working papers) 1532, Bank of Italy, Economic Research and International Relations Area.
    10. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.
    11. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," BERG Working Paper Series 163, Bamberg University, Bamberg Economic Research Group.
    12. Chen, Heng & Li, Xu & Pei, Guangyu & Xin, Qian, 2024. "Heterogeneous overreaction in expectation formation: Evidence and theory," Journal of Economic Theory, Elsevier, vol. 218(C).
    13. Jean-Paul L’Huillier & Sanjay R Singh & Donghoon Yoo, 2024. "Incorporating Diagnostic Expectations into the New Keynesian Framework," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(5), pages 3013-3046.
    14. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    15. Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, The Center for Economic Research.
    16. Candia, Bernardo & Coibion, Olivier & Gorodnichenko, Yuriy, 2024. "The inflation expectations of U.S. firms: Evidence from a new survey," Journal of Monetary Economics, Elsevier, vol. 145(S).
    17. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, The Center for Economic Research.
    18. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Working Papers 0686, University of Heidelberg, Department of Economics.
    19. Metodij Hadzi‐Vaskov & Luca Antonio Ricci & Alejandro Mariano Werner & Rene Zamarripa, 2023. "What drives economic growth forecast revisions?," Review of International Economics, Wiley Blackwell, vol. 31(3), pages 1068-1092, August.
    20. Lahcen Bounader & Mr. Selim A Elekdag, 2024. "The Diagnostic Financial Accelerator," IMF Working Papers 2024/132, International Monetary Fund.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

    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:eee:intfor:v:42:y:2026:i:2:p:512-526. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    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.