SOVEREIGN RISK RATINGS, MACROECONOMIC FUNDAMENTALS AND ACCOUNTABILITY: EVIDENCE FROM DEVELOPING COUNTRIES

Autores

  • Bruno Ferreira Frascaroli Professor do Programa de Pós-Graduação em Economia da Universidade Federal da Paraíba (PPGE/UFPB)
  • Jailson Oliveira

Palavras-chave:

Sovereign Risk Ratings, Macroeconomic Fundamentals, Accountability

Resumo

One of the most important devices used in the international financial market to reduce information asymmetry is sovereign risk rating. It plays a key role in determining the conditions of credit markets, an issue that is fundamental, especially for the development of emerging countries. Therefore, the main purpose of this study is to examine the determinants of sovereign risk ratings produced by rating agencies. The macroeconomic fundamentals of the countries were considered as instruments of accountability: solvency, liquidity, economic development, and economic stability. They were used as input information to estimate a panel data model. Our main results are focused on the relationship between countries’ rating classifications and their respective macroeconomic fundamentals, to examine whether a close causal link between the former and the latter truly exists. Besides, they indicated that promoting income growth (GDP per capita) and controlling inflation (the evolution of the CP level), which is associated with discipline in fiscal policy, are important to maintaining low levels of country risk and thus strengthen its development. The accountability and discipline of fiscal policy indicates a country’s ability to honor its financial commitments. In addition, ratings in the current period are influenced by previous ratings, indicating the agencies’ conservative behavior.

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Biografia do Autor

Bruno Ferreira Frascaroli, Professor do Programa de Pós-Graduação em Economia da Universidade Federal da Paraíba (PPGE/UFPB)

Doutor em Economia pela Universidade Federal de Pernambuco, foi assessor técnico na Secretaria de Acompanhamento Econômico do Ministério da Fazenda (SEAE-MF) e atualmente é Professor Adjunto III do Departamento de Economia da Universidade Federal da Paraíba. Tem experiência como economista, com pesquisas publicadas empregando métodos e modelos matemáticos, econométricos e estatísticos aplicados na área de finanças, economia monetária, economia do setor público, inovações e áreas afins. Trabalha como orientador do Programa Agentes Locais de Inovação (ALI-CNPq) junto ao SEBRAE-PB, acompanhado o processo de inovação das micro e pequenas empresas no estado. Trabalha como pesquisador na área de Gestão Fazendária junto à Escola Superior de Administração Fazendária (ESAF) em Brasília. É vice-coordenador do Programa de Pós-Graduação em Economia do Setor Público (PPESP-UFPB) e professor do quadro do Programa de Pós-Graduação em Economia (PPGE-UFPB).

Jailson Oliveira

Possui graduação em Ciências Econômicas pela Universidade de Brasília (2010). Atualmente doutorando no Programa de Pós Graduação em Economia da Universidade Federal da Paraná. Já lecionou como Professor Auxiliar no Departamento de Economia da Universidade Federal do Paraná e na Faculdade Maurio de Nassau. Tem experiência na área de Economia, com ênfase em Métodos e Modelos Matemáticos, Econométricos e Estatísticos aplicados a finanças e economia monetária.

Referências

Afonso, A., Furceri, D., & Gomes, P. (2012). Sovereign credit ratings and financial markets linkages: application to European data. Journal of International Money and Finance, 31(3), 606-638.

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo Evidence and an application to employment equations. Review of Economic Studies, Blackwell Publishing, 58(2): 277-97.

Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, Elsevier, 68(1): 29-51.

Arellano, M. (2002). Panel data econometrics. Oxford University Press: London.

Arezki, R., Candelon, B., & Sy, A. N. R. (2011). Sovereign rating news and financial markets spillovers: evidence from the European debt crisis. IMF Working papers, 68.

Baltagi, B. H., 1995. Econometric analysis of panel data. Wiley: Chichester.

Basu, K., D. E., S., Ratha, D., & Timmer, H. (2013). Sovereign ratings in the post-crisis world: an analysis of actual, shadow and relative risk ratings. Policy Research Working Paper Series, World Bank 6641.

Bayar, Y., & Kili C. (2014). Effects of sovereign credit ratings on foreign direct investment inflows: evidence from Turkey. Journal of Applied Finance & Banking, (4)2: 91-109.

Bissoondoyal-Bheenick, E. (2005). An analysis of the determinants of sovereign ratings. Global Finance Journal, 15: 251-280.

Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143.

Bone, R. B. (2005). A importcia dos fundamentos nos ratings soberanos brasileiros, 1994-2002. [The importante of macroeconomic fundamentals in sovereign ratings]. Anise Econica, v. 27, n. 51, 2005.

Borensztein, E. A., Cowan, K. B., & Valenzuela, P. (2013). Sovereign ceilings lite? The impact of sovereign ratings on corporate ratings. Journal of Banking & Finance, (37) 11: 4014-4024.

Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics methods and applications. Cambridge University Press: New York.

Cantor, R., & Packer, F. (1996). Determinants and impact of sovereign credit ratings. Economic Policy Review, (2)2: 37-53.

Canuto, O., Santos, P. F., & Porto, P. C. S. (2004). Macroeconomics and sovereign risk ratings. World Bank Discussion papers. Washington D. C.

Canuto, O., Dos Santos, P. F. P., & de SPorto, P. C. (2012). Macroeconomics and sovereign risk ratings. Journal of International Commerce, Economics and Policy, 3(02), 1250011.

Doluca, H. (2014). Is there a bias in sovereign ratings due to financial reasons? The Empirical Economics Letters, 13 (7), 801-814.

Fatnassi, I., Ftiti, Z., & Hasnaoui, H. (2014). Stock market reactions to sovereign credit rating changes: evidence from four European countries. Working Papers 2014-111, Department of Research, Ipag Business School.

Fatnassi, I., Ftiti, Z., & Hasnaoui, H. (2014). Stock market reactions to sovereign credit rating changes: Evidence from four European countries.Journal of Applied Business Research, 30(3), 953.

Frascaroli, B. F., Silva, L. C., & Silva Filho, O. C. (2009). Classificao de ratings de risco soberano de paes emergentes a partir de fundamentos macroeconicos utilizando redes neurais artificiais [Sovereign risk ratings of emerging countries based on macroeconomic fundamentals using artificial neural networks]. Revista Brasileira de Finans, 7: 73-106.

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.

Frenkel, M., Karmann, A., & Scholtens, B. (Eds.) (2004). Sovereign risk and financial crises. Springer International Publishing: New York.

Gomes, P., Furceri, D., & Afonso, A. (2011). Sovereign credit ratings and financial markets - linkages aplication to European data. European Central Bank, working paper 1347.

Hansen, L. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(3): 1029-54.

Haque, N. U., Mark, N., & Mathieson, D. J. (1998). The relative importance of political and economic variable in creditworthiness ratings. IMF Finance & Development.

Hausman, J. A. (1978). Specification test in econometrics. Econometrica, 46(6): 1251 -1271.

Hsiao, C. (1986). Analysis of panel data. Cambridge University Press: London.

KIff, J., Nowak, S. B., & Schumacher, L. (2012). Are rating agencies powerful? An investigation into the impact and accuracy of sovereign ratings. IMF Working papers 23.

Maltritz, D., & Berlemann, M. (Eds.) (2013). Financial crises, sovereign risk and the role of institutions. Springer International Publishing Switzerland: Switzerland.

Moodys Investors Service. (2003). Moodys rating symbols and definitions. https://www.moodys. com/sites/products/AboutMoodysRatingsAttachments/MoodysRatingsSymbolsand%20Definitions.

pdf (Accessed 15/01/2015).

Partnoy, F. (2002). The paradox of credit ratings. in Richard Levich, Giovanni Majnoni, and Carmen M Reinhart, (Eds.). Ratings, Rating agencies and the global financial system, (Kluwer Academic Press: New York.

Reinhart, C. M. (2002). Sovereign credit ratings before and after financial crises. in Richard Levich, Giovanni Majnoni, and Carmen M Reinhart, (Eds.). Ratings, Rating agencies and the global financial system, Kluwer Academic Press: New York.

Rowland, P. (2004). Determinants of spread, credit ratings and creditworthiness for emerging market sovereign debt: a follow-up study using pooled data analysis. Banco de la Republica de Colombia. Bogot Colombia. http://www.banrep.gov.co/docum/ftp/borra296.pdf (Accessed 21/04/2015).

Sargan, J. (1958). The estimation of economic relationships using instrumental variables. Econometrica, 26(3) New York: 393-415.

Standard & Poors (2011). Sovereign government rating methodology and assumptions. http://www.standardandpoors.com, Accessed 22 February 2012. Standard & Poors, 2015. Sovereign ratings history since 1975. New York, USA.

Sy, A. N. R. (2009). The systemic regulation of credit rating agencies and rated markets. World Economics Data Papers 10(4): 69-108.

Wooldridge, J. (2002). Econometric analysis of cross-section and panel data. The MIT Press: London.

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Publicado

2017-11-24

Como Citar

Frascaroli, B. F., & Oliveira, J. (2017). SOVEREIGN RISK RATINGS, MACROECONOMIC FUNDAMENTALS AND ACCOUNTABILITY: EVIDENCE FROM DEVELOPING COUNTRIES. Advances in Scientific and Applied Accounting, 10(3), 304–318. Recuperado de https://asaa.anpcont.org.br/asaa/article/view/332

Edição

v. 10, n. 3 set-dez (2017)

Seção

ARTIGOS

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