IDEAS home Printed from https://ideas.repec.org/a/eee/intfin/v73y2021ics1042443121000639.html
   My bibliography  Save this article

On the information content of sovereign credit rating reports: Improving the predictability of rating transitions☆

Author

Listed:
  • Slapnik, Ursula
  • Lončarski, Igor

Abstract

In order to identify novel qualitative determinants of transitions in sovereign credit ratings, we construct six different textual sentiment and subjectivity measures using dictionary-based, and machine learning approaches on sovereign credit rating reports issued by Moody’s and Fitch in the period from 2002 to 2017. After controlling for macroeconomic and fiscal strength, soft information, as well as known sources of proximity biases, we find that, on average, these novel text-based measures improve the classification accuracy of downgrades and upgrades. The improvement is more notable for sentiment than subjectivity measures, and for downgrades compared to upgrades. Next, we find evidence that credit rating agencies seem to follow the through-the-cycle rating philosophy by taking a longer horizon into account. Finally, to the best of our knowledge, we offer the most comprehensive analysis of textual sentiment measures and their effect on sovereign credit ratings thus far.

Suggested Citation

  • Slapnik, Ursula & Lončarski, Igor, 2021. "On the information content of sovereign credit rating reports: Improving the predictability of rating transitions☆," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:intfin:v:73:y:2021:i:c:s1042443121000639
    DOI: 10.1016/j.intfin.2021.101344
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1042443121000639
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intfin.2021.101344?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. Graciela Kaminsky & Sergio L. Schmukler, 2002. "Emerging Market Instability: Do Sovereign Ratings Affect Country Risk and Stock Returns?," The World Bank Economic Review, World Bank, vol. 16(2), pages 171-195, August.
    2. De Moor, Lieven & Luitel, Prabesh & Sercu, Piet & Vanpée, Rosanne, 2018. "Subjectivity in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 366-392.
    3. Mr. John Kiff & Sylwia Nowak & Miss Liliana B Schumacher, 2012. "Are Rating Agencies Powerful? An Investigation Into the Impact and Accuracy of Sovereign Ratings," IMF Working Papers 2012/023, International Monetary Fund.
    4. Alexander W. Butler & Larry Fauver, 2006. "Institutional Environment and Sovereign Credit Ratings," Financial Management, Financial Management Association International, vol. 35(3), pages 53-79, September.
    5. Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "On sovereign credit migration: A study of alternative estimators and rating dynamics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3448-3469, April.
    6. 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.
    7. Andreas Fuchs & Kai Gehring, 2017. "The Home Bias in Sovereign Ratings," Journal of the European Economic Association, European Economic Association, vol. 15(6), pages 1386-1423.
    8. Kearney, Colm & Liu, Sha, 2014. "Textual sentiment in finance: A survey of methods and models," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 171-185.
    9. Liping Zheng, 2012. "Are Sovereign Credit Ratings Objective? A Tale of Two Agencies," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(5), pages 1-3.
    10. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.
    11. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    12. Reusens, Peter & Croux, Christophe, 2017. "Sovereign credit rating determinants: A comparison before and after the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 108-121.
    13. Hill, Paula & Brooks, Robert & Faff, Robert, 2010. "Variations in sovereign credit quality assessments across rating agencies," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1327-1343, June.
    14. Hu, Yen-Ting & Kiesel, Rudiger & Perraudin, William, 2002. "The estimation of transition matrices for sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1383-1406, July.
    15. Lynnette D. Purda, 2007. "Stock Market Reaction To Anticipated Versus Surprise Rating Changes," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 30(2), pages 301-320, June.
    16. 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.
    17. Alsakka, Rasha & ap Gwilym, Owain, 2013. "Rating agencies’ signals during the European sovereign debt crisis: Market impact and spillovers," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 144-162.
    18. Antonio Afonso, 2003. "Understanding the determinants of sovereign debt ratings: Evidence for the two leading agencies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 56-74, March.
    19. G. Ferri & L.-G. Liu & J. E. Stiglitz, 1999. "The Procyclical Role of Rating Agencies: Evidence from the East Asian Crisis," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 28(3), pages 335-355, November.
    20. Mora, Nada, 2006. "Sovereign credit ratings: Guilty beyond reasonable doubt?," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2041-2062, July.
    21. Sylvester C.W. Eijffinger, 2012. "Rating Agencies: Role and Influence of Their Sovereign Credit Risk Assessment in the Eurozone," Journal of Common Market Studies, Wiley Blackwell, vol. 50(6), pages 912-921, November.
    22. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Oct), pages 37-53.
    23. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    24. Feng Li, 2010. "The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 48(5), pages 1049-1102, December.
    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. Anand, Arsh & Vanpée, Rosanne & Lončarski, Igor, 2023. "Sustainability and sovereign credit risk," International Review of Financial Analysis, Elsevier, vol. 86(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. Slapnik, Ursula & Lončarski, Igor, 2023. "Understanding sovereign credit ratings: Text-based evidence from the credit rating reports," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    2. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).
    3. De Moor, Lieven & Luitel, Prabesh & Sercu, Piet & Vanpée, Rosanne, 2018. "Subjectivity in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 366-392.
    4. Dang, Huong & Partington, Graham, 2020. "Sovereign ratings and national culture," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    5. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.
    6. Broto, Carmen & Molina, Luis, 2016. "Sovereign ratings and their asymmetric response to fundamentals," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 206-224.
    7. Rosati, Nicoletta & Bellia, Mario & Matos, Pedro Verga & Oliveira, Vasco, 2020. "Ratings matter: Announcements in times of crisis and the dynamics of stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    8. Hantzsche, Arno, 2022. "Fiscal uncertainty and sovereign credit risk," European Economic Review, Elsevier, vol. 148(C).
    9. Huong Dang, 2014. "How dimensions of national culture and institutional characteristics influence sovereign rating migration dynamics," ZenTra Working Papers in Transnational Studies 42 / 2014, ZenTra - Center for Transnational Studies.
    10. Makram El‐Shagi & Gregor von Schweinitz, 2022. "Why they keep missing: An empirical investigation of sovereign bond ratings and their timing," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 186-224, May.
    11. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2021. "On the duration of sovereign ratings cycle phases," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 512-526.
    12. Ben Hmiden, Oussama & Tatoutchoup, Didier & Nguimkeu, Pierre & Avelé, Donatien, 2024. "Discrepancy and cross-regional bias in sovereign credit ratings: Analyzing the role of public debt," Economic Modelling, Elsevier, vol. 131(C).
    13. Bernal, Oscar & Girard, Alexandre & Gnabo, Jean-Yves, 2016. "The importance of conflicts of interest in attributing sovereign credit ratings," International Review of Law and Economics, Elsevier, vol. 47(C), pages 48-66.
    14. Salvador, Carlos & Pastor, Jose Manuel & Fernández de Guevara, Juan, 2014. "Impact of the subprime crisis on bank ratings: The effect of the hardening of rating policies and worsening of solvency," Journal of Financial Stability, Elsevier, vol. 11(C), pages 13-31.
    15. Zoran Ivanovic & Sinisa Bogdan & Suzana Baresa, 2015. "Modeling and Estimating Shadow Sovereign Ratings," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(3), September.
    16. Jan Bruha & Moritz Karber & Beatrice Pierluigi & Ralph Setzer, 2017. "Understanding Rating Movements in Euro Area Countries," Working Papers 2017/06, Czech National Bank.
    17. Fathi Nakai & Tarek Chebbi, 2023. "The informational content of sovereign credit rating: another look," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 353-373, September.
    18. Davor Kunovac & Rafael Ravnik, 2017. "Are Sovereign Credit Ratings Overrated?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 59(2), pages 210-242, June.
    19. El-Shagi, Makram & von Schweinitz, Gregor, 2017. "Why they keep missing: An empirical investigation of rational inattention of rating agencies," IWH Discussion Papers 1/2017, Halle Institute for Economic Research (IWH), revised 2017.
    20. Ozturk, Huseyin & Namli, Ersin & Erdal, Halil Ibrahim, 2016. "Modelling sovereign credit ratings: The accuracy of models in a heterogeneous sample," Economic Modelling, Elsevier, vol. 54(C), pages 469-478.

    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:intfin:v:73:y:2021:i:c:s1042443121000639. 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/intfin .

    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.