An analysis of Granger causality between sovereign credit rating and economic growth in Sub-Saharan Africa
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Received September 4, 2020;Accepted October 20, 2020;Published November 9, 2020
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Author(s)Link to ORCID Index: https://orcid.org/0000-0001-7477-3514Link to ORCID Index: https://orcid.org/0000-0002-0136-3343
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DOIhttp://dx.doi.org/10.21511/imfi.17(4).2020.08
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Article InfoVolume 17 2020, Issue #4, pp. 85-93
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Interest in the relationship between credit rating and economic growth is growing as emerging economies increasingly integrate into international financial markets. Without credit ratings, developing economies would not have been able to successfully issue their sovereign bonds to support economic growth. Therefore, this paper examines a causality relationship between Standard & Poor’s long-term foreign currency sovereign credit ratings and economic growth in 19 Sub-Saharan countries over the period from 2003 to 2018. The results of the Granger causality tests show a unidirectional causality from sovereign credit ratings to economic growth, not vice versa. This implies that economic growth is not significant in determining sovereign credit ratings. It can thus be concluded from these findings that sovereign credit ratings are proactive actions by rating agencies that are relevant in determining future economic growth. Thus, investors benefit from utilizing credit ratings to prevent inherent information asymmetry in fundamental economic factors. Therefore, it is important for policy makers to pay attention to sovereign credit ratings when formulating macroeconomic policies.
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JEL Classification (Paper profile tab)G00, G40
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References26
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Tables6
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Figures1
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- Figure 1. Responses to Cholesky’s one S.D. impulse responses
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- Table 1. Panel unit root test results
- Table 2. Lag order selection criteria
- Table 3. VAR model estimates
- Table 4. Pairwise Granger causality test results
- Table 5. VAR residual normality test for standardized residuals
- Table 6. VAR residual heteroskedasticity test results
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- Amato, J. D., & Furfine, C. H. (2004). Are credit ratings procyclical? Journal of Banking and Finance, 28(11), 2641-2677.
- Avkiran, N. K., & Cai, L. C. (2012). Predicting bank financial distress prior to crises. New Zealand Finance Colloquium.
- Baghai, R. P., Servaes, H., & Tamayo, A. (2014). Have rating agencies become more conservative? Implications for capital structure and debt pricing. Journal of Finance, 69(5), 1961-2005.
- Boot, A. W. A., Milbourn, T. T., & Schmeits, A. (2006). Credit ratings as coordination mechanisms. Review of Financial Studies, 19(1), 81-118.
- Cantor, R., & Packer, F. (2007). Determinants and Impact of Sovereign Credit Ratings. Economic Policy Review, 2(2), 22-28.
- Cesaroni, T. (2015). Procyclicality of credit rating systems: How to manage it. Journal of Economics and Business, 82, 62-83.
- Chen, S. S., Chen, H. Y., Chang, C. C., & Yang, S. L. (2016). The relation between sovereign credit rating revisions and economic growth. Journal of Banking and Finance, 64, 90-100.
- Dudian, M., & Popa, R. A. (2012). Analysis on the Relationship between Rating and Economic Growth for the European Union Emergent Economies. International Journal of Economics and Management Engineering, 6(4), 431-434.
- El-Shagi, M. (2009). The role of rating agencies in financial crises: Event studies from the Asian flu. Cambridge Journal of Economics, 34(4), 671-685.
- Ferri, G., Liu, L.-G., & Stiglitz, J. E. (1999). The Procyclical Role of Rating Agencies: Evidence from the East Asian Crisis. Economic Notes, 28(3), 335-355.
- Freitag, L. (2015). Procyclicality and Path Dependence of Sovereign Credit Ratings: The Example of Europe. Economic Notes, 44(2), 309-332.
- Gande, A., & Parsley, D. (2004). Sovereign credit ratings and international portfolio flows. Working Paper, Vanderbilt.
- Ganguin, B. (2010). Credit ratings withstand the credit crisis. Journal of Corporate Treasury Management, 4(1), 12-14.
- Granger, C. W. J. (1988). Causality, cointegration, and control. Journal of Economic Dynamics and Control, 12(2-3), 551-559.
- Ismailescu, I., & Kazemi, H. (2010). The reaction of emerging market credit default swap spreads to sovereign credit rating changes. Journal of Banking and Finance.
- Kim, S. J., & Wu, E. (2008). Sovereign credit ratings, capital flows and financial sector development in emerging markets. Emerging Markets Review.
- Lagner, T., & Knyphausen-Aufseß, D. (2012). Rating Agencies as Gatekeepers to the Capital Market: Practical Implications of 40 Years of Research. Financial Markets, Institutions and Instruments, 3(21), 157-202.
- Lee, C. C., Lee, J. De, & Lee, C. C. (2010). Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks. Japan and the World Economy, 22(1), 49-58.
- Moody’s Investor Service. (2018). Sovereign Bond Ratings. Sovereign Bond Rating Methodology Published on November 21.
- Mora, N. (2006). Sovereign credit ratings: Guilty beyond reasonable doubt? Journal of Banking and Finance, 30(7), 2041-2062.
- Mutize, M., & Gossel, S. (2018). The effects of sovereign credit rating spillovers on neighbouring countries’ financial markets. Journal of International Trade and Economic Development, 27(8), 857-900.
- Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554.
- Papaikonomou, V. L. (2010). Credit rating agencies and global financial crisis. Studies in Economics and Finance, 27(2), 161-174.
- Rhee, R. J. (2015). Why Credit Rating Agencies Exist. Economic Notes, 44(2), 161-175.
- The Financial Crisis Inquiry Commission, F. (2011). The Financial Crisis Inquiry Report: Final Report of the National Commission on the Causes of the Financial and Economic Crisis in the United States.
- White, L. J. (2013). Markets: The Credit Rating Agencies. Journal of Economic Perspectives, 24(2), 211-226.
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Data curation
Misheck Mutize, Virimai V. Mugobo
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Conceptualization
Misheck Mutize, Virimai V. Mugobo
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Formal Analysis
Misheck Mutize, Virimai V. Mugobo
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Funding acquisition
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Investigation
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Methodology
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Project administration
Misheck Mutize, Virimai V. Mugobo
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Resources
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Software
Misheck Mutize, Virimai V. Mugobo
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Supervision
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Validation
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Visualization
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Writing – original draft
Misheck Mutize, Virimai V. Mugobo
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Writing – review & editing
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Data curation
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Optimizing the performance of mean-variance portfolios in various markets: an “old-school” approach
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A cross-country study of the direct and inverse relationship between economic globalization and growth
Oleksiy Khoroshun , Hanna Olasiuk , Vira Rokocha , Sanjeev Kumar doi: http://dx.doi.org/10.21511/imfi.20(1).2023.22Investment Management and Financial Innovations Volume 20, 2023 Issue #1 pp. 250-264 Views: 527 Downloads: 198 TO CITE АНОТАЦІЯThis study aims to explore the cross-country relationship between economic globalization and growth. It assesses the implications of globalization for the world economy and groups of countries with different income levels. The study employed panel data from the World Bank, the Fraser Institute, and the Swiss Federal Institute of Technology in Zürich for 122 countries from 1970 to 2018. Two-stage fixed effect model was used to assess the impact of globalization on growth. The reverse causality was estimated using the method of instrumental variables. The results showed that the world economy benefited from globalization. In turn, greater openness has reinforced economic growth. The study confirms that globalization benefits are distributed unequally. A significant positive impact of globalization on economic growth is confirmed for high and lower-middle-income economies with coefficients of 0.02 and 0.01, respectively. Economic growth of high-income countries is determined by financial globalization, while lower-middle-income countries rely on trade and financial openness. Negative implications of economic globalization took place in upper-middle-income countries with a coefficient of -0.02. In these countries, correlation between trade globalization and growth is -0.13. The effect of economic growth on globalization is found to be significantly positive for high-income (11.08) and upper-middle-income countries (9.62) and statistically insignificant for lower-middle-income economies.