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Strategic behavior of Federal Open Market Committee board members: Evidence from members’ forecasts

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  • Nakazono, Yoshiyuki

Abstract

In this paper, we use panel data to test whether Federal Open Market Committee (FOMC) board members’ forecasts are rational. Rationality is rejected in the sense that forecasts by members are heavily dependent on previous own forecasts and last consensus made in FOMC. Furthermore, we reveal the strategic behavior of FOMC board members. Forecasts by governors, who always have voting rights, agree much with the previous consensus of FOMC members’ forecasts. In contrast, non-governors, who rotate voting rights, exaggerate their forecasts: they aggressively deviate their forecasts from previous consensus. The former is herding behavior and the latter is anti-herding behavior. Our results imply that individual members behave strategically; governors want to present policy-consistent forecasts to the Congress and non-governors utilize their forecasts to influence decision making in FOMC.

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  • Nakazono, Yoshiyuki, 2013. "Strategic behavior of Federal Open Market Committee board members: Evidence from members’ forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 62-70.
    • Handle: RePEc:eee:jeborg:v:93:y:2013:i:c:p:62-70
    DOI: 10.1016/j.jebo.2013.07.013
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    1. David Romer, 2010. "A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 951-957, August.
    2. Michael P. Keane & David E. Runkle, 1998. "Are Financial Analysts' Forecasts of Corporate Profits Rational?," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 768-805, August.
    3. 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.
    4. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    5. Yoshiyuki Nakazono, 2012. "Heterogeneity and anchoring in financial markets," Applied Financial Economics, Taylor & Francis Journals, vol. 22(21), pages 1821-1826, November.
    6. Rülke, Jan-Christoph & Tillmann, Peter, 2011. "Do FOMC members herd?," Economics Letters, Elsevier, vol. 113(2), pages 176-179.
    7. Alan Beggs & Kathryn Graddy, 2009. "Anchoring Effects: Evidence from Art Auctions," American Economic Review, American Economic Association, vol. 99(3), pages 1027-1039, June.
    8. Capistrán, Carlos, 2008. "Bias in Federal Reserve inflation forecasts: Is the Federal Reserve irrational or just cautious?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1415-1427, November.
    9. Hibiki Ichiue & Tomonori Yuyama, 2009. "Using Survey Data to Correct the Bias in Policy Expectations Extracted from Fed Funds Futures," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1631-1647, December.
    10. Ito, Takatoshi, 1990. "Foreign Exchange Rate Expectations: Micro Survey Data," American Economic Review, American Economic Association, vol. 80(3), pages 434-449, June.
    11. Carl E. Walsh, 2010. "Monetary Theory and Policy, Third Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262013770, December.
    12. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    13. Patton, Andrew J. & Timmermann, Allan, 2007. "Testing Forecast Optimality Under Unknown Loss," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1172-1184, December.
    14. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, July.
    15. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    16. 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.
    17. Tillmann, Peter, 2011. "Strategic forecasting on the FOMC," European Journal of Political Economy, Elsevier, vol. 27(3), pages 547-553, September.
    18. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    19. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    20. Ippei Fujiwara & Hibiki Ichiue & Yoshiyuki Nakazono & Yosuke Shigemi, 2012. "Financial markets forecasts revisited: are they rational, herding or bold?," Globalization Institute Working Papers 106, Federal Reserve Bank of Dallas.
    21. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    22. 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.
    23. Bernhardt, Dan & Campello, Murillo & Kutsoati, Edward, 2006. "Who herds?," Journal of Financial Economics, Elsevier, vol. 80(3), pages 657-675, June.
    24. Basu, Sudipta & Markov, Stanimir, 2004. "Loss function assumptions in rational expectations tests on financial analysts' earnings forecasts," Journal of Accounting and Economics, Elsevier, vol. 38(1), pages 171-203, December.
    25. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    26. Michael B. Clement & Senyo Y. Tse, 2005. "Financial Analyst Characteristics and Herding Behavior in Forecasting," Journal of Finance, American Finance Association, vol. 60(1), pages 307-341, February.
    27. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    28. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    29. Werner F. M. De Bondt & William P. Forbes*, 1999. "Herding in analyst earnings forecasts: evidence from the United Kingdom," European Financial Management, European Financial Management Association, vol. 5(2), pages 143-163, July.
    30. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    31. Fujiwara, Ippei & Ichiue, Hibiki & Nakazono, Yoshiyuki & Shigemi, Yosuke, 2013. "Financial markets forecasts revisited: Are they rational, stubborn or jumpy?," Economics Letters, Elsevier, vol. 118(3), pages 526-530.
    32. Jianbo Zhang, 1997. "Strategic Delay and the Onset of Investment Cascades," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 188-205, Spring.
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    Cited by:

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    3. S. Yanki Kalfa & Jaime Marquez, 2021. "Forecasting FOMC Forecasts," Econometrics, MDPI, vol. 9(3), pages 1-21, September.
      • S. Yanki Kalfa & Jaime Marquez, 2018. "Forecasting FOMC Forecasts," Working Papers 2018-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Jaime Marquez, 2023. "Stylized Facts of the FOMC’s Longer-Run Forecasts," JRFM, MDPI, vol. 16(3), pages 1-20, February.
    5. Hamza Bennani, 2016. "Measuring Monetary Policy Stress for Fed District Representatives," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 156-176, May.
    6. Jaime Marquez & S Yanki Kalfa, 2021. "The Forecasts of Individual FOMC Members: New Evidence after Ten Years," Working Papers 2021-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. S. Yanki Kalfa & Jaime Marquez, 2019. "FOMC Forecasts: Are They Useful for Understanding Monetary Policy?," JRFM, MDPI, vol. 12(3), pages 1-17, August.
    8. Goldstein, Nathan & Zilberfarb, Ben-Zion, 2021. "Do forecasters really care about consensus?," Economic Modelling, Elsevier, vol. 100(C).
    9. repec:cup:judgdm:v:10:y:2015:i:1:p:86-96 is not listed on IDEAS
    10. Tzu-Pu CHANG, Ray Yeutien CHOU & Ray Yeutien CHOU, 2018. "Anchoring Effect on Macroeconomic Forecasts : A Heterogeneity Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 134-147, December.
    11. Arthur Carvalho, 2015. "Tailored proper scoring rules elicit decision weights," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(1), pages 86-96, January.
    12. Arthur Carvalho & Stanko Dimitrov & Kate Larson, 2018. "On proper scoring rules and cumulative prospect theory," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 343-376, November.
    13. Smales, Lee A. & Apergis, Nick, 2016. "The influence of FOMC member characteristics on the monetary policy decision-making process," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 216-231.

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    More about this item

    Keywords

    Anchoring; Federal Reserve; Inflation forecast; Herding; Monetary policy;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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