A study on economic factors affecting credit ratings of Indian companies
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Received April 15, 2019;Accepted June 7, 2019;Published June 25, 2019
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Author(s)Link to ORCID Index: https://orcid.org/0000-0003-3497-2468
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DOIhttp://dx.doi.org/10.21511/imfi.16(2).2019.27
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Article InfoVolume 16 2019, Issue #2, pp. 326-335
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Cited by1 articlesJournal title: Managerial FinanceArticle title: Bond rating determinants and modeling: evidence from IndiaDOI: 10.1108/MF-10-2021-0489Volume: 49 / Issue: 3 / First page: 529 / Year: 2023Contributors: Sanjay Sehgal, Vibhuti Vasishth, Tarunika Jain Agrawal
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The objective of the research carried out is to understand the impact of selected economic variables (such as Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation) on credit rating of Indian companies.
The sample comprises of 120 rating observations during the period 2012–2016 for a total of 24 companies of India.
Measurement of central tendency – descriptive statistics is used where credit rating is used as dependent variable and five economic factors viz. Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation as the independent variables.
Results from the analysis indicate that the credit rating responds in both linear, as well as nonlinear manner, to selected economic factors. Economic factors such as GDP, Industrial Production, and Exchange Rates have a linear relationship to credit rating, whereas Crude Oil price and Inflation have a non-linear impact upon the credit rating.
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JEL Classification (Paper profile tab)E31, G24, E51
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References20
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Tables7
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Figures1
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- Figure 1. Conceptual model
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- Table 1. Ratings based on various credit agencies
- Table 2. Encapsulated data
- Table 3. Impact of GDP on credit ratings of select companies during the study period
- Table 4. Impact of Inflation on credit ratings of select companies during the study period
- Table 5. Impact of Exchange Rates on credit ratings of select companies during the study period
- Table 6. Impact of Crude Oil Price on credit ratings of select companies during the study period
- Table 7. Impact of Industrial Production on credit ratings of select companies during the study period
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- Adams, M., Burton, B., & Hardwick, P. (2003). The determinants of credit ratings in the United Kingdom insurance industry. Journal of Business Finance & Accounting, 30(3‐4), 539-572.
- Al-Najjar, B., & Elgammal, M. M. (2013). Innovation and credit ratings, does it matter? UK evidence. Applied Economics Letters, 20(5), 428-431.
- Aman, H., & Nguyen, P. (2013). Does good governance matter to debtholders? Evidence from the credit ratings of Japanese firms. Research in International Business and Finance, 29, 14-34.
- Ashbaugh-Skaife, H., Collins, D. W., & LaFond, R. (2006). The effects of corporate governance on firms’ credit ratings. Journal of accounting and economics, 42(1-2), 203-243.
- Attig, N., El Ghoul, S., Guedhami, O., & Suh, J. (2013). Corporate social responsibility and credit ratings. Journal of business ethics, 117(4), 679-694.
- Bhalla, V. K. (1994). Foreign Investment and New Economic Theory. New Delhi: Anmol Publications Private Limited.
- Cantor, R. (2004). An introduction to recent research on credit ratings. Journal of Banking and Finance, 28(11), 2565-2573.
- Czarnitzki, D., & Kraft, K. (2004). Innovation indicators and corporate credit ratings: evidence from German firms. Economics Letters, 82(3), 377-384.
- Fernando, A. C. (2012). Corporate Governance: Principles, Polices and Practices (2nd ed.). Pearson Education India.
- Griffith-Jones, S., Ocampo, J. A., & Stiglitz, J. E. (Eds.) (2010). Time for a visible hand: Lessons from the 2008 World Financial Crisis. Oxford University Press.
- Grunert, J., Norden, L., & Weber, M. (2005). The role of non-financial factors in internal credit ratings. Journal of Banking & Finance, 29(2), 509-531.
- Gupta, R., & Sharma, S. (2017). Non-Financial Determinants of Corporate Credit Ratings. Int. J. Eng. Technol. Sci. Res, 4, 412-415.
- Ibrahim, M. H. (2019). Oil and macro-financial linkages: Evidence from the GCC countries. The Quarterly Review of Economics and Finance, 72, 1-13.
- ICRA (2009). Rationale Reports.
- Kaur, K., & Kaur, R. (2011). Credit Rating in India: A Study of Rating Methodology of Rating Agencies. Global Journal of Management and Business Research, 11(12), 63–68.
- Kumar, K. V., & Rao, S. H. (2012). Credit Rating-Role in Modern Financial System. International Journal of Marketing, Financial Services & Management Research, 1(8), 126-138.
- Murcia, F. C. D. S., Dal-Ri Murcia, F., Rover, S., & Borba, J. A. (2014). The determinants of credit rating: Brazilian evidence. BAR-Brazilian Administration Review, 11(2), 188-209.
- Natarajan, K., & Gordon, E. (2009). Financial Markets and Services. Himalaya Publishing House.
- Papaikonomou, V. L. (2010). Credit rating agencies and global financial crisis: Need for a paradigm shift in financial market regulation. Studies in Economics and Finance, 27(2), 161-174.
- Suresh, Padmalatha and Paul, Justin. (2010). Management of Banking and Financial Services (582 p.) (2nd, ed.). Dorling Kindersly (India) Private Limited.
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