IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2020i48p138-160.html
   My bibliography  Save this article

Empirical study of the relationship between credit cycles and changes in credit ratings

Author

Listed:
  • Karminsky, A.

    (National Research University "Higher School of Economics", School of Finance, Moscow, Russia)

  • Dyachkova, N.

    (National Research University "Higher School of Economics", School of Finance, Moscow, Russia)

Abstract

The purpose of this study is to identify relationships between changes in ratings and the impact of credit cycles on them. The following methodology was used: we built up an applied statistical probit-model of multiple-choice to determine ratings changes. Our model includes a credit gap indicator for assessing the impact of the credit cycle. Our empirical research also includes a review of the time changes in the ratings during a ten-year period for developed and developing countries. The results of our study show that credit ratings are not only affected by cyclical changes within the credit cycle, but also are delayed in its relation to the cycle. From a practical point of view, these results indicate the practical need to take into account various macroeconomic factors because of the impact of credit cycles for forecasting and risk management in financial markets. During the changes of credit cycles, the rating agencies consider the shifts in macrostructure and in valuation of parameters accordingly to the distribution and ratings proportion for investment and speculative ratings classes. The level of credit ratings and credit gap indicator are strongly influenced by two macroeconomic factors: GDP growth rates and credit spread, the last impact factor relates to the mechanism of monetary policy (as a narrow lending channel). In the end of the credit cycle and the stage of recession (downturn), which is marked by empirical evidence, large number of speculative credit ratings occur and the credit spread begins increase which leads to the rise of negative effects in financial markets.

Suggested Citation

  • Karminsky, A. & Dyachkova, N., 2020. "Empirical study of the relationship between credit cycles and changes in credit ratings," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 138-160.
  • Handle: RePEc:nea:journl:y:2020:i:48:p:138-160
    DOI: 10.31737/2221-2264-2020-48-4-6
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2020-48-138-160r.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.31737/2221-2264-2020-48-4-6?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
    ---><---

    References listed on IDEAS

    as
    1. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    2. 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.
    3. Enrique G. Mendoza & Marco E. Terrones, 2008. "An Anatomy Of Credit Booms: Evidence From Macro Aggregates And Micro Data," NBER Working Papers 14049, National Bureau of Economic Research, Inc.
    4. Mikhail Mamonov & Renat Akhmetov & Vera Pankova & Oleg Solntsev & Anna Pestova & Artem Deshko, 2018. "Identification of Financial Sector Optimal Depth and Structure from the Perspective of Economic Growth, Macroeconomic and Financial Stability," Russian Journal of Money and Finance, Bank of Russia, vol. 77(3), pages 89-123, September.
    5. Isabelle Distinguin & Iftekhar Hasan & Amine Tarazi, 2013. "Predicting rating changes for banks: how accurate are accounting and stock market indicators?," Annals of Finance, Springer, vol. 9(3), pages 471-500, August.
    6. Deryugina, Elena & Ponomarenko, Alexey & Rozhkova, Anna, 2020. "When are credit gap estimates reliable?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 221-238.
    7. Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
    8. David López-Salido & Jeremy C. Stein & Egon Zakrajšek, 2017. "Credit-Market Sentiment and the Business Cycle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1373-1426.
    9. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    10. Karminsky, Alexandr & Peresetsky, Anatoly, 2007. "Models of Banks Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 5(1), pages 3-19.
    11. Atif Mian & Kamalesh Rao & Amir Sufi, 2013. "Household Balance Sheets, Consumption, and the Economic Slump," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1687-1726.
    12. Loffler, Gunter, 2004. "An anatomy of rating through the cycle," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 695-720, March.
    13. Marshall E. Blume & Felix Lim & A. Craig Mackinlay, 1998. "The Declining Credit Quality of U.S. Corporate Debt: Myth or Reality?," Journal of Finance, American Finance Association, vol. 53(4), pages 1389-1413, August.
    14. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.
    15. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    16. Mr. John Kiff & Michael Kisser & Miss Liliana B Schumacher, 2013. "Rating Through-the-Cycle: What does the Concept Imply for Rating Stability and Accuracy?," IMF Working Papers 2013/064, International Monetary Fund.
    17. Alexander Karminsky & Andrey Polozov, 2016. "Handbook of Ratings," Springer Books, Springer, number 978-3-319-39261-5, November.
    18. 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.
    19. Mr. Tigran Poghosyan, 2015. "How Do Public Debt Cycles Interact with Financial Cycles?," IMF Working Papers 2015/248, International Monetary Fund.
    20. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    21. Julia Giese & Henrik Andersen & Oliver Bush & Christian Castro & Marc Farag & Sujit Kapadia, 2014. "The Credit‐To‐Gdp Gap And Complementary Indicators For Macroprudential Policy: Evidence From The Uk," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 25-47, January.
    22. Ryan, Patricia A. & Villupuram, Sriram V. & Zygo, Jeffrey G., 2017. "The value of credit rating changes across economic cycles," Journal of Economics and Business, Elsevier, vol. 92(C), pages 1-9.
    23. C. H. Furfine & Jeffery D. Amato, 2003. "Are credit ratings procyclical?," BIS Working Papers 129, Bank for International Settlements.
    24. Klaus-Peter Hellwig, 2018. "Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections," IMF Working Papers 2018/260, International Monetary Fund.
    25. repec:fth:pennfi:67 is not listed on IDEAS
    26. Solntsev, O. & Mamonov, M. & Pestova, A. & Magomedova, Z., 2011. "Experience in Developing Early Warning System for Financial Crises and the Forecast of Russian Banking Sector Dynamic in 2012," Journal of the New Economic Association, New Economic Association, issue 12, pages 41-76.
    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. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    2. Posch, Peter N., 2011. "Time to change. Rating changes and policy implications," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 641-656.
    3. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    4. Aggarwal, Nidhi & Singh, Manish K. & Thomas, Susan, 2023. "Do decreases in Distance-to-Default predict rating downgrades?," Economic Modelling, Elsevier, vol. 129(C).
    5. Robin Greenwood & Samuel G. Hanson, 2011. "Issuer Quality and the Credit Cycle," NBER Working Papers 17197, National Bureau of Economic Research, Inc.
    6. repec:zbw:bofitp:2008_017 is not listed on IDEAS
    7. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    8. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    9. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    10. Peresetsky, Anatoly, 2009. "Models for the External Support Component of Moody's Bank Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 3-23.
    11. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    12. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    13. Hu, Xiaolu & Shi, Jing & Wang, Lafang & Yu, Jing, 2020. "Foreign ownership in Chinese credit ratings industry: Information revelation or certification?," Journal of Banking & Finance, Elsevier, vol. 118(C).
    14. Xuanjuan Chen & Jing-Zhi Huang & Zhenzhen Sun & Tong Yao & Tong Yu, 2020. "Liquidity Premium in the Eye of the Beholder: An Analysis of the Clientele Effect in the Corporate Bond Market," Management Science, INFORMS, vol. 66(2), pages 932-957, February.
    15. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    16. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December.
    17. Dannhauser, Caitlin D., 2017. "The impact of innovation: Evidence from corporate bond exchange-traded funds (ETFs)," Journal of Financial Economics, Elsevier, vol. 125(3), pages 537-560.
    18. Balios, Dimitris & Thomadakis, Stavros & Tsipouri, Lena, 2016. "Credit rating model development: An ordered analysis based on accounting data," Research in International Business and Finance, Elsevier, vol. 38(C), pages 122-136.
    19. Servaes, Henri & Amiraslani, Hami & Lins, Karl & Tamayo, Ane, 2017. "A Matter of Trust? The Bond Market Benefits of Corporate Social Capital during the Financial Crisis," CEPR Discussion Papers 12321, C.E.P.R. Discussion Papers.
    20. Demirtas, K. Ozgur & Rodgers Cornaggia, Kimberly, 2013. "Initial credit ratings and earnings management," Review of Financial Economics, Elsevier, vol. 22(4), pages 135-145.
    21. Jaspreet Kaur & Madhu Vij & Ajay Kumar Chauhan, 2023. "Signals influencing corporate credit ratings—a systematic literature review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 91-114, March.

    More about this item

    Keywords

    credit ratings; rating agencies; credit cycle; credit gap;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    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:nea:journl:y:2020:i:48:p:138-160. 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: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.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.