IDEAS home Printed from https://ideas.repec.org/a/ehu/cuader/15475.html
   My bibliography  Save this article

Does rating shopping exist in spanish securitization issues?

Author

Listed:
  • Peña Cerezo, Miguel Ángel
  • Rodríguez Castellanos, Arturo
  • Ibáñez Hernández, Francisco Jaime

Abstract

[EN] Debt issue credit ratings can lead to conflicts of interest as the issuer itself is entrusted with contracting and compensating the rating agency. Into the bargain, the credit rating agency may be involved in designing the issues that the same agency subsequently rates. Credit rating agencies thus could have incentives to rate issues advantageously. Given the economic importance of this issue, in this paper we have proposed to analyze this phenomenon, known as rating shopping in academic literature, for Spanish market securitization issues for the period of time comprehensive from January 1993 to December 2011. In sum 3,665 published ratings are been analysed, for an issued nominal amount of 791,090 million Euros. The results show an association between the credit rating agency contracted and the mean rating awarded. Significant differences are observed in the ratings associated to the contracting manager (or special purpose vehicle SPV- manager firm), to the number of ratings or to the type of collateral. Furthermore, a pattern compatible with rating shopping was observed for some types of collateral: abnormally high market shares associated with certain agencies awarding unusually generous ratings. However, this phenomenon is not seen to be widespread on the rating market associated to Spanish securitization issues.

Suggested Citation

  • Peña Cerezo, Miguel Ángel & Rodríguez Castellanos, Arturo & Ibáñez Hernández, Francisco Jaime, 2015. "Does rating shopping exist in spanish securitization issues?," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    • Handle: RePEc:ehu:cuader:15475
    as

    Download full text from publisher

    File URL: https://addi.ehu.es/handle/10810/15475
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vink, Dennis, 2007. "ABS, MBS and CDO compared: an empirical analysis," MPRA Paper 10381, University Library of Munich, Germany, revised 09 Sep 2008.
    2. 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.
    3. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    4. Adam B. Ashcraft & Paul Goldsmith-Pinkham & James Vickery, 2010. "MBS ratings and the mortgage credit boom," Staff Reports 449, Federal Reserve Bank of New York.
    5. Vink, Dennis, 2007. "An Empirical Analysis of Asset-Backed Securitization," MPRA Paper 10382, University Library of Munich, Germany, revised 25 Aug 2008.
    6. Pilar Abad & Antonio Díaz & M. Dolores Robles-Fernández, 2012. "Credit rating announcements, trading activity and yield spreads: the Spanish evidence," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 5(1), pages 38-63.
    7. 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.
    8. 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.
    9. Pilar Abad-Romero & M. Robles-Fernández, 2007. "Bond rating changes and stock returns: evidence from the Spanish stock market," Spanish Economic Review, Springer;Spanish Economic Association, vol. 9(2), pages 79-103, June.
    10. Efraim Benmelech & Jennifer Dlugosz, 2010. "The Credit Rating Crisis," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 161-207, National Bureau of Economic Research, Inc.
    11. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    12. Ingo Fender & John Kiff, 2004. "CDO rating methodology: Some thoughts on model risk and its implications," BIS Working Papers 163, Bank for International Settlements.
    13. Maciej Firla-Cuchra, 2005. "Explaining Launch Spreads on Structured Bonds," Economics Series Working Papers 230, University of Oxford, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miguel Á. Peña-Cerezo & Arturo Rodríguez-Castellanos & Francisco J. Ibáñez-Hernández, 2019. "Multi-tranche securitisation structures: more than just a zero-sum game?," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 167-189, January.

    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. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    2. Efing, Matthias, 2015. "Arbitraging the Basel securitization framework: Evidence from German ABS investment," Discussion Papers 40/2015, Deutsche Bundesbank.
    3. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    4. Lugo, Stefano, 2014. "Discretionary ratings and the pricing of subprime mortgage-backed securities," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 248-260.
    5. Kempf, Elisabeth, 2020. "The job rating game: Revolving doors and analyst incentives," Journal of Financial Economics, Elsevier, vol. 135(1), pages 41-67.
    6. Thomas Mählmann, 2016. "Market share and risk taking: the role of collateral asset managers in the collapse of the arbitrage CDO market," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 273-303, August.
    7. 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.
    8. Keser, Claudia & Özgümüs, Asri & Peterlé, Emmanuel & Schmidt, Martin, 2017. "An experimental investigation of rating-market regulation," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 78-86.
    9. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.
    10. 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.
    11. 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.
    12. Francesco Sangiorgi & Chester Spatt, 2017. "Opacity, Credit Rating Shopping, and Bias," Management Science, INFORMS, vol. 63(12), pages 4016-4036, December.
    13. Holden, Steinar & Natvig, Gisle James & Vigier, Adrien, 2012. "An Equilibrium Model of Credit Rating Agencies," Memorandum 01/2013, Oslo University, Department of Economics.
    14. Richard Stanton & Nancy Wallace, 2018. "CMBS Subordination, Ratings Inflation, and Regulatory†Capital Arbitrage," Financial Management, Financial Management Association International, vol. 47(1), pages 175-201, March.
    15. Brendan Daley & Brett Green & Victoria Vanasco, 2020. "Securitization, Ratings, and Credit Supply," Journal of Finance, American Finance Association, vol. 75(2), pages 1037-1082, April.
    16. Mariano, Beatriz, 2012. "Market power and reputational concerns in the ratings industry," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1616-1626.
    17. Sean Flynn & Andra Ghent, 2018. "Competition and Credit Ratings After the Fall," Management Science, INFORMS, vol. 64(4), pages 1672-1692, April.
    18. Farkas, Miklós, 2021. "Competition, communication and rating bias," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 637-656.
    19. Singh, Amanjot & Singh, Harminder, 2022. "Insiders' stock pledging disclosures and credit ratings: Evidence from India," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    20. Yao, Zhiyong & Gu, Dingwei & Chen, Yongmin, 2017. "Rating deflation versus inflation: On procyclical credit ratings," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 46-64.

    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:ehu:cuader:15475. 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: Alcira Macías Redondo (email available below). General contact details of provider: https://edirc.repec.org/data/ieahues.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.