IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v61y2020i3d10.1007_s11146-019-09701-3.html
   My bibliography  Save this article

Reputation, Information, and Herding in Credit Ratings: Evidence from CMBS

Author

Listed:
  • Xudong An

    (Federal Reserve Bank of Philadelphia)

  • Larry Cordell

    (Federal Reserve Bank of Philadelphia)

  • Joseph B. Nichols

    (Federal Reserve Board)

Abstract

We find strong evidence of herding behavior among credit rating agencies (CRAs) in the CMBS market. CRAs are more likely to change their rating if another CRA had changed its rating on the same bond in the previous period. CRAs tend to adjust their ratings to make them converge with those of other CRAs when there is rating disagreement in the previous period. CRA reduced their herding behavior during the financial crisis and herding after the crisis was still lower than it was pre-crisis. We also find evidence that herding in corporate bonds is largely limited to below-investment grade companies. In contrast, we see evidence of herding in CMBS in both high and low rated tranches. These results are consistent with predictions from a theoretical model where CRAs use both public and private information in determining their credit ratings.

Suggested Citation

  • Xudong An & Larry Cordell & Joseph B. Nichols, 2020. "Reputation, Information, and Herding in Credit Ratings: Evidence from CMBS," The Journal of Real Estate Finance and Economics, Springer, vol. 61(3), pages 476-504, October.
  • Handle: RePEc:kap:jrefec:v:61:y:2020:i:3:d:10.1007_s11146-019-09701-3
    DOI: 10.1007/s11146-019-09701-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11146-019-09701-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11146-019-09701-3?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Skreta, Vasiliki & Veldkamp, Laura, 2009. "Ratings shopping and asset complexity: A theory of ratings inflation," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 678-695, July.
    2. Antonio Afonso & Pedro Gomes & Philipp Rother, 2009. "Ordered response models for sovereign debt ratings," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 769-773.
    3. Jie (Jack) He & Jun (Qj) Qian & Philip E. Strahan, 2012. "Are All Ratings Created Equal? The Impact of Issuer Size on the Pricing of Mortgage-Backed Securities," Journal of Finance, American Finance Association, vol. 67(6), pages 2097-2137, December.
    4. John M. Griffin & Dragon Yongjun Tang, 2012. "Did Subjectivity Play a Role in CDO Credit Ratings?," Journal of Finance, American Finance Association, vol. 67(4), pages 1293-1328, August.
    5. Sangiorgi, Francesco & Spatt, Chester, 2017. "The Economics of Credit Rating Agencies," Foundations and Trends(R) in Finance, now publishers, vol. 12(1), pages 1-116, December.
    6. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    7. Shiller, Robert J, 1995. "Conversation, Information, and Herd Behavior," American Economic Review, American Economic Association, vol. 85(2), pages 181-185, May.
    8. 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.
    9. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    10. Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
    11. 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.
    12. John M. Griffin & Jordan Nickerson & Dragon Yongjun Tang, 2013. "Rating Shopping or Catering? An Examination of the Response to Competitive Pressure for CDO Credit Ratings," Review of Financial Studies, Society for Financial Studies, vol. 26(9), pages 2270-2310.
    13. Jiang, John (Xuefeng) & Harris Stanford, Mary & Xie, Yuan, 2012. "Does it matter who pays for bond ratings? Historical evidence," Journal of Financial Economics, Elsevier, vol. 105(3), pages 607-621.
    14. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    15. Choi, Nicole & Sias, Richard W., 2009. "Institutional industry herding," Journal of Financial Economics, Elsevier, vol. 94(3), pages 469-491, December.
    16. Lawrence J. White, 2010. "Markets: The Credit Rating Agencies," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 211-226, Spring.
    17. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    18. Opp, Christian C. & Opp, Marcus M. & Harris, Milton, 2013. "Rating agencies in the face of regulation," Journal of Financial Economics, Elsevier, vol. 108(1), pages 46-61.
    19. Rasha Alsakka & Owain ap Gwilym, 2010. "The Extent and Causes of Sovereign Split Ratings," Working Papers 10008, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    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. Chen, Zhongfei & Matousek, Roman & Stewart, Chris & Webb, Rob, 2019. "Do rating agencies exhibit herding behaviour? Evidence from sovereign ratings," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 57-70.
    2. Cornaggia, Jess & Cornaggia, Kimberly J. & Xia, Han, 2016. "Revolving doors on Wall Street," Journal of Financial Economics, Elsevier, vol. 120(2), pages 400-419.
    3. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    4. Mathias Kronlund, 2020. "Do Bond Issuers Shop for Favorable Credit Ratings?," Management Science, INFORMS, vol. 66(12), pages 5944-5968, December.
    5. Xia, Han, 2014. "Can investor-paid credit rating agencies improve the information quality of issuer-paid rating agencies?," Journal of Financial Economics, Elsevier, vol. 111(2), pages 450-468.
    6. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    7. Anna Bayona & Oana Peia & Razvan Vlahu, 2023. "Credit Ratings and Investments," Working Papers 776, DNB.
    8. Jess N. Cornaggia & Kimberly J. Cornaggia & John E. Hund, 2017. "Credit Ratings Across Asset Classes: A Long-Term Perspective," Review of Finance, European Finance Association, vol. 21(2), pages 465-509.
    9. Valentina Bruno & Jess Cornaggia & Kimberly J. Cornaggia, 2016. "Does Regulatory Certification Affect the Information Content of Credit Ratings?," Management Science, INFORMS, vol. 62(6), pages 1578-1597, June.
    10. Sumit Agarwal & Vincent Y. S. Chen & Weina Zhang, 2016. "The Information Value of Credit Rating Action Reports: A Textual Analysis," Management Science, INFORMS, vol. 62(8), pages 2218-2240, August.
    11. Lugo, Stefano, 2014. "Discretionary ratings and the pricing of subprime mortgage-backed securities," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 248-260.
    12. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    13. Jess N. Cornaggia & Kimberly J. Cornaggia & Ryan D. Israelsen, 2020. "Where the Heart Is: Information Production and the Home Bias," Management Science, INFORMS, vol. 66(12), pages 5532-5557, December.
    14. Kempf, Elisabeth, 2020. "The job rating game: Revolving doors and analyst incentives," Journal of Financial Economics, Elsevier, vol. 135(1), pages 41-67.
    15. Levis, Mario & Muradoğlu, Yaz Gulnur & Vasileva, Kristina, 2023. "Herding in foreign direct investment," International Review of Financial Analysis, Elsevier, vol. 86(C).
    16. Kempf, Elisabeth, 2017. "The Job Rating Game: The Effects of Revolving Doors on Analyst Incentives," Working Papers 258, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    17. Guney, Yilmaz & Kallinterakis, Vasileios & Komba, Gabriel, 2017. "Herding in frontier markets: Evidence from African stock exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 152-175.
    18. Gerald J. Lobo & Luc Paugam & Hervé Stolowy & Pierre Astolfi, 2017. "The Effect of Business and Financial Market Cycles on Credit Ratings: Evidence from the Last Two Decades," Abacus, Accounting Foundation, University of Sydney, vol. 53(1), pages 59-93, March.
    19. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Journal of Reviews on Global Economics, Lifescience Global, vol. 2, pages 307-329.
    20. SeungHan Ro & Paul Gallimore & Sherwood Clements & Gang-Zhi Fan, 2019. "Herding Behavior among Residential Developers," The Journal of Real Estate Finance and Economics, Springer, vol. 59(2), pages 272-294, August.

    More about this item

    Keywords

    Credit rating; CMBS; Herding;
    All these keywords.

    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:kap:jrefec:v:61:y:2020:i:3:d:10.1007_s11146-019-09701-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.