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The purpose of this study is to identify the factors that may explain the attribution of credit ratings to firms, focusing especially on the impact of derivatives. The gap explored by this research lies in the novelty of analyzing how rating agencies perceive the effects caused by information related to derivatives use by Brazilian publicly-traded companies. In addition, this study shifts the previous findings from stock analysts to rating agencies, reinforcing the discussion about the complexity of derivatives in the credit risk assessment process. This research topic is currently of interest due to the adoption of International Financial Reporting Standard (IFRS) 9 (Accounting Pronouncements Committee - CPC - 48), which came into effect in January of 2018. Based on these rules, the main novelty presented in this article was its verification of the effect of the derivatives used by companies in order to hedge their credit ratings, thus helping to fill the empirical gap that exists in the literature from the area. The results found challenge the theory that the use of hedge derivatives is viewed positively by investors. However, although no significant statistical impact was found on the ratings of companies that use derivatives, it was observed that the companies that use derivatives and have the highest notional values were those that received the best ratings from Moody's. With this we broadened the debate about the complexity of the information linked to derivatives use. In the study, 2,090 ratings attributed to non-financial companies with stocks traded on the Brasil, Bolsa, Balcão [B]³ exchange were examined between 2010 and 2016 by using panel data analysis, which lends robustness to the analysis and findings. Contrary to the central hypothesis of this research, the results presented here show that, in Brazil, companies that use derivative financial instruments for hedging do not receive the best credit ratings from rating agencies. One of the main contributions of this study is the evidence that Standard & Poor's and Moody's were unable to consistently incorporate information related to derivatives use, thus broadening the discussion about the complexity of these financial instruments. [ABSTRACT FROM AUTHOR]

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This paper investigates the effects of the great financial crisis on the behavior of the Brazilian credit market through a panel of 101 Brazilian banks. For that, we measure the amount of cash involved in the credit activity in the different segments that compound the Brazilian financial system. The results show that: (i) the crisis did not change the relationship between the credit market and the credit risk, regarding the Brazilian financial system as a whole; (ii) both the state-owned and the private-owned segments of the financial system were significantly affected by the crisis, but in opposite directions. While the private segment extracted cash from the credit portfolio, reacting to the worsening in credit risk, the state-owned segment injected cash in the credit portfolio, acting counter-cyclically and compensating the private reaction. [ABSTRACT FROM AUTHOR]

This paper examines whether default events of public companies in Brazil are predicted by a credit rating system based on accounting ratios. The credit rating system developed uses cluster analysis to classify companies in eight ratings, seven for solvent and one for default companies. The variable used to assign ratings to companies is the probability of default estimated by credit risk model developed by Brito and Assaf Neto (2008). The credit rating system assigns annual ratings to non-financial companies listed on Brazilian stock market from 1994 to 2006. Based on these ratings, several risk migration matrices are generated for the analysis period. The migration matrices show the risk increase of default companies prior to the year of occurrence of default event. Most of these companies are classified in the lowest rating or migrate to lower ratings in the years preceding the default. In addition, mortality rates of firms grow in the credit rating system. These results demonstrate that default events of companies can be predicted by a credit rating system based only on accounting ratios. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Economia e Administração is the property of INSPER Instituto de Ensino e Pesquisa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Default is one of the main factors bringing great concern to companies today, regardless of their size or invoicing. More than selling, they are concerned about how and when they will receive to assure their own survival. This work has for objective to understand the degree of significance given by borrowers of Caixa Econômica Federal (Caixa) in respect of dwelling default in the State of Pernambuco. It should be pointed out that questionnaires have been answered by defaulting borrowers of this company, located both in the capital and inland of the State of Pernambuco. Results achieved have shown that a small decrease in default was noted from the implementation of Risk System (Siric), from 2000; however, according to the current indexes and research results, efforts have to be intensified to make indexes fall into acceptable levels. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Economia e Administração is the property of INSPER Instituto de Ensino e Pesquisa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)