IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v20y2017icp35-39.html
   My bibliography  Save this article

Exploring rating shopping for european triple a senior structured finance securities

Author

Listed:
  • Fabozzi, Frank J.
  • Nawas, Mike E.
  • Vink, Dennis

Abstract

In much of the research with respect to the use of credit ratings, the notion of rating shopping features prominently. One form of rating shopping predicts that investors price the risk that arises when securities have fewer than three ratings. Inconsistent with what rating shopping would predict, our study shows that for the largest European structured finance market, the triple A sector of the senior European residential mortgage-backed market prior to 2007, investors demanded a premium for more ratings. Moreover, we find that certain characteristics unique to structured finance securities that investors perceive as complex, determine whether issuers opt for a higher number of triple A ratings.

Suggested Citation

  • Fabozzi, Frank J. & Nawas, Mike E. & Vink, Dennis, 2017. "Exploring rating shopping for european triple a senior structured finance securities," Finance Research Letters, Elsevier, vol. 20(C), pages 35-39.
  • Handle: RePEc:eee:finlet:v:20:y:2017:i:c:p:35-39
    DOI: 10.1016/j.frl.2016.08.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612316301489
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2016.08.013?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. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    2. 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.
    3. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    4. Emmanuel Farhi & Josh Lerner & Jean Tirole, 2013. "Fear of rejection? Tiered certification and transparency," RAND Journal of Economics, RAND Corporation, vol. 44(4), pages 610-631, December.
    5. 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.
    6. 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.
    7. Frank J. Fabozzi & Dennis Vink, 2015. "The information content of three credit ratings: the case of European residential mortgage-backed securities," The European Journal of Finance, Taylor & Francis Journals, vol. 21(3), pages 172-194, February.
    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. Vink, Dennis & Nawas, Mike & van Breemen, Vivian, 2021. "Security design and credit rating risk in the CLO market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

    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. Vink, Dennis & Nawas, Mike & van Breemen, Vivian, 2021. "Security design and credit rating risk in the CLO market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    2. Vink, Dennis & Nawas, Mike & van Breemen, Vivian, 2021. "Security design and credit rating risk in the CLO market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    3. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    4. Frank Fabozzi & Vivian M. Breemen & Dennis Vink & Mike Nawas & Austin Gengos, 2023. "How much do Investors Rely on Credit Ratings: Empirical evidence from the U.S. and E.U. CLO primary market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 63(2), pages 221-247, April.
    5. Michael R. King & Steven Ongena & Nikola Tarashev, 2020. "Bank Standalone Credit Ratings," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 101-144, September.
    6. Huang, Yu-Li & Shen, Chung-Hua, 2021. "From revenue to safety: Rating agencies have changed their concerns after the crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    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. 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.
    9. Bae, Kee-Hong & Driss, Hamdi & Roberts, Gordon S., 2019. "Does competition affect ratings quality? Evidence from Canadian corporate bonds," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 605-623.
    10. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    11. Anna Bayona & Oana Peia & Razvan Vlahu, 2023. "Credit Ratings and Investments," Working Papers 776, DNB.
    12. 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.
    13. Mathias Kronlund, 2020. "Do Bond Issuers Shop for Favorable Credit Ratings?," Management Science, INFORMS, vol. 66(12), pages 5944-5968, December.
    14. Chandan Sharma & Archana Singh & Rajan Yadav, 2023. "Impact of Competition in Credit Rating Industry: Evidence From India," SAGE Open, , vol. 13(1), pages 21582440221, January.
    15. Lugo, Stefano, 2014. "Discretionary ratings and the pricing of subprime mortgage-backed securities," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 248-260.
    16. John M Griffin & Jordan Nickerson, 2023. "Are CLO Collateral and Tranche Ratings Disconnected?," Review of Financial Studies, Society for Financial Studies, vol. 36(6), pages 2319-2360.
    17. 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.
    18. Kempf, Elisabeth, 2020. "The job rating game: Revolving doors and analyst incentives," Journal of Financial Economics, Elsevier, vol. 135(1), pages 41-67.
    19. Liu, Xiaojian & Chong, Beng Soon & Feng, Xiaozhi, 2023. "Does the market differentiate between investor-paid and issuer-paid ratings in the pricing of asset-backed securities?," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    20. Farkas, Miklós, 2021. "Competition, communication and rating bias," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 637-656.

    More about this item

    Keywords

    Credit ratings; Europe; Credit rating agencies; Residential mortgage-backed securities; Structured finance;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms

    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:eee:finlet:v:20:y:2017:i:c:p:35-39. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.