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Have credit rating agencies become more stringent towards Japanese regional banks?

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  • Kondo, Kazumine

Abstract

This article investigates empirically whether foreign and domestic credit rating agencies tightened their standards for evaluating Japanese regional banks from 2000 to 2009. We extend and enhance previous studies, including Gonis and Taylor (2009), by estimating an ordered probit model using pooled data for this period. Our results reveal that foreign agencies did not rate Japanese regional banks more stringently during this period, perhaps because they wished not to repel clients and reduce their revenues. Japan’s rating agencies showed the opposite tendency, perhaps to seek credibility among foreign investors.

Suggested Citation

  • Kondo, Kazumine, 2011. "Have credit rating agencies become more stringent towards Japanese regional banks?," MPRA Paper 30500, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:30500
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    References listed on IDEAS

    as
    1. Ho-Chuan Huang & Shu-Chin Lin, 2006. "Time-varying discrete monetary policy reaction functions," Applied Economics, Taylor & Francis Journals, vol. 38(4), pages 449-464.
    2. Christian Grund & Oliver Gurtler, 2005. "An empirical study on risk-taking in tournaments," Applied Economics Letters, Taylor & Francis Journals, vol. 12(8), pages 457-461.
    3. repec:bla:jfinan:v:53:y:1998:i:4:p:1389-1413 is not listed on IDEAS
    4. Marshall E. Blume & Felix Lim & A. Craig MacKinlay, "undated". "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 03-98, Wharton School Rodney L. White Center for Financial Research.
    5. Jamie Gascoigne & Paul Turner, 2004. "Asymmetries in Bank of England monetary policy," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 615-618.
    6. Sachiko Miyata, 2003. "Household's risk attitudes in Indonesian villages," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 573-583.
    7. repec:fth:pennfi:67 is not listed on IDEAS
    8. Marshall E. Blume & Felix Lim & A. Craig MacKinlay, "undated". "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 3-98, Wharton School Rodney L. White Center for Financial Research.
    9. Poon, Winnie P. H., 2003. "Are unsolicited credit ratings biased downward?," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 593-614, April.
    10. Neil Doherty & Richard Phillips, 2002. "Keeping up with the Joneses: Changing Rating Standards and the Buildup of Capital by U.S. Property-Liability Insurers," Journal of Financial Services Research, Springer;Western Finance Association, vol. 21(1), pages 55-78, February.
    11. Cantor, Richard & Packer, Frank, 1997. "Differences of opinion and selection bias in the credit rating industry," Journal of Banking & Finance, Elsevier, vol. 21(10), pages 1395-1417, October.
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    More about this item

    Keywords

    credit ratings; rating stringencies; regional banks; foreign credit rating agencies; domestic credit rating agencies;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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