IDEAS home Printed from https://ideas.repec.org/p/esj/esridp/309.html
   My bibliography  Save this paper

Quantifying the Beauty Contest: Density Inflation-Forecasts of Professional Japanese Forecasters

Author

Listed:
  • TAKEDA Yosuke

Abstract

The paper aims at quantifying the higher-order expectations that Keynes (1936) compared to the beauty contest, applying a measure of relative entropy to the Japanese ESP Forecast Survey data during the deflationary period. We conclude that during the deflationary period from June 2009 to April 2010 and from April 2010 to February 2011, professional Japanese forecasters faced the Keynesian beauty contest, in which average expectations dominate agents’ expectations.

Suggested Citation

  • TAKEDA Yosuke, 2014. "Quantifying the Beauty Contest: Density Inflation-Forecasts of Professional Japanese Forecasters," ESRI Discussion paper series 309, Economic and Social Research Institute (ESRI).
  • Handle: RePEc:esj:esridp:309
    as

    Download full text from publisher

    File URL: http://www.esri.go.jp/jp/archive/e_dis/e_dis309/e_dis309.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    2. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-883, November.
    3. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    4. Diebold, Francis X & West, Kenneth D, 1998. "Symposium on Forecasting and Empirical Methods in Macroeconomics and Finance: Editors' Introduction," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 811-815, November.
    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. Gabriel Desgranges & Celine Rochon, 2008. "Conformism, Public News and Market Effciency," OFRC Working Papers Series 2008fe16, Oxford Financial Research Centre.
    2. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    3. Gabriel Desgranges & Céline Rochon, 2013. "Conformism and public news," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(3), pages 1061-1090, April.
    4. Nimark, Kristoffer P. & Pitschner, Stefan, 2019. "News media and delegated information choice," Journal of Economic Theory, Elsevier, vol. 181(C), pages 160-196.
    5. Jank, Stephan & Roling, Christoph & Smajlbegovic, Esad, 2021. "Flying under the radar: The effects of short-sale disclosure rules on investor behavior and stock prices," Journal of Financial Economics, Elsevier, vol. 139(1), pages 209-233.
    6. Muendler, Marc-Andreas, 2008. "Risk-neutral investors do not acquire information," Finance Research Letters, Elsevier, vol. 5(3), pages 156-161, September.
    7. Juan Dubra & Helios Herrera, 2002. "Market Participation, Information and Volatility," Working Papers 0206, Centro de Investigacion Economica, ITAM.
    8. Giovanni Cespa & Xavier Vives, 2011. "Expectations, Liquidity, and Short-term Trading," CESifo Working Paper Series 3390, CESifo.
    9. Romain Baeriswyl & Camille Cornand & Bruno Ziliotto, 2020. "Observing and Shaping the Market: The Dilemma of Central Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(8), pages 1973-2005, December.
    10. Han, Jungsuk & Sangiorgi, Francesco, 2018. "Searching for information," Journal of Economic Theory, Elsevier, vol. 175(C), pages 342-373.
    11. Nezafat, Mahdi & Schroder, Mark, 2023. "The negative value of private information in illiquid markets," Journal of Economic Theory, Elsevier, vol. 210(C).
    12. Briana Chang & Harrison Hong, 2017. "Assignment of Stock Market Coverage," NBER Working Papers 23115, National Bureau of Economic Research, Inc.
    13. Itay Goldstein & Shijie Yang & Luo Zuo, 2020. "The Real Effects of Modern Information Technologies: Evidence from the EDGAR Implementation," NBER Working Papers 27529, National Bureau of Economic Research, Inc.
    14. Xavier Vives, 2017. "Endogenous Public Information and Welfare in Market Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 935-963.
    15. Mäkinen, Taneli & Ohl, Björn, 2015. "Information acquisition and learning from prices over the business cycle," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 585-633.
    16. Kannan, Prakash & Kohler-Geib, Fritzi, 2009. "The uncertainty channel of contagion," Policy Research Working Paper Series 4995, The World Bank.
    17. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    18. Rigos, Alexandros, 2022. "The normality assumption in coordination games with flexible information acquisition," Journal of Economic Theory, Elsevier, vol. 203(C).
    19. Anna Bayona, 2018. "The social value of information with an endogenous public signal," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 1059-1087, December.
    20. Qi Chen & Zeqiong Huang & Yun Zhang, 2014. "The Effects of Public Information with Asymmetrically Informed Short‐Horizon Investors," Journal of Accounting Research, Wiley Blackwell, vol. 52(3), pages 635-669, June.

    More about this item

    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:esj:esridp:309. 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: HORI nobuko (email available below). General contact details of provider: https://edirc.repec.org/data/esrgvjp.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.