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Herding Behavior between Rating Agencies

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  • Rieber, Alexander
  • Schechinger, Steffen

Abstract

We investigate whether credit rating agencies systematically follow each other's rating decisions. Therefore we rely on the rotation of rating analysts within credit rating agencies and their impact on the rating. Using this institutional setup we can disentangle causal herding behavior from simple co-movement between credit rating agencies due to changes in firm fundamentals. Rating analysts have substantial influence on ratings and we use their individual optimism/pessimism as instrumental variable to estimate causal effects of a rating change induced by an analyst on rating changes by other credit rating agencies. For our comprehensive sample of U.S. and European firms, rated by S&P, Moody's and Fitch between 1995 - 2016, we find significant herding behavior among credit rating agencies. This average herding behavior amounts to 0.4 notches for a one notch change at another credit rating agency, which is roughly half the size of the simple co-movement between credit rating agencies.

Suggested Citation

  • Rieber, Alexander & Schechinger, Steffen, 2019. "Herding Behavior between Rating Agencies," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203580, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc19:203580
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    1. Will Dobbie & Jae Song, 2015. "Debt Relief and Debtor Outcomes: Measuring the Effects of Consumer Bankruptcy Protection," American Economic Review, American Economic Association, vol. 105(3), pages 1272-1311, March.
    2. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    3. Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
    4. Mathis, Jérôme & McAndrews, James & Rochet, Jean-Charles, 2009. "Rating the raters: Are reputation concerns powerful enough to discipline rating agencies?," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 657-674, July.
    5. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    6. Mariano, Beatriz, 2012. "Market power and reputational concerns in the ratings industry," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1616-1626.
    7. Angrist, J D & Imbens, G W & Krueger, A B, 1999. "Jackknife Instrumental Variables Estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
    8. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    9. Brigham Frandsen & Lars Lefgren & Emily Leslie, 2023. "Judging Judge Fixed Effects," American Economic Review, American Economic Association, vol. 113(1), pages 253-277, January.
    10. Michal Kolesár & Raj Chetty & John Friedman & Edward Glaeser & Guido W. Imbens, 2015. "Identification and Inference With Many Invalid Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 474-484, October.
    11. Fracassi, Cesare & Petry, Stefan & Tate, Geoffrey, 2016. "Does rating analyst subjectivity affect corporate debt pricing?," Journal of Financial Economics, Elsevier, vol. 120(3), pages 514-538.
    12. Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb..
    13. Marianne Bertrand & Antoinette Schoar, 2003. "Managing with Style: The Effect of Managers on Firm Policies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1169-1208.
    14. Anna Aizer & Joseph J. Doyle, 2015. "Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 759-803.
    15. Stefano Lugo & Annalisa Croce & Robert Faff, 2015. "Herding Behavior and Rating Convergence among Credit Rating Agencies: Evidence from the Subprime Crisis," Review of Finance, European Finance Association, vol. 19(4), pages 1703-1731.
    16. Guttler, Andre & Wahrenburg, Mark, 2007. "The adjustment of credit ratings in advance of defaults," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 751-767, March.
    17. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    18. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    19. Alsakka, Rasha & ap Gwilym, Owain, 2010. "Leads and lags in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2614-2626, November.
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    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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