Search results

The credit ratings issued by the Big 3 ratings agencies are inaccurate and slow to respond to market changes. This paper aims to develop a rigorous, transparent and robust credit assessment and rating scheme for sovereigns.

This paper develops a regression-based model using credit default swap (CDS) data, and data on financial and macroeconomic variables to estimate sovereign CDS spreads. Using these spreads, the default probabilities of sovereigns can be estimated. The new ratings scheme is then used in conjunction with these default probabilities to assign credit ratings to sovereigns.

The developed model accurately estimates CDS spreads (based on RMSE values). Credit ratings issued retrospectively using the new scheme reflect reality better.

This paper reveals that both macroeconomic and financial factors affect both systemic and idiosyncratic risks for sovereigns.

The developed credit assessment and ratings scheme can be used to evaluate the creditworthiness of sovereigns and subsequently assign robust credit ratings.

The transparency and rigor of the new scheme will result in better and trustworthy indications of a sovereign’s financial health. Investors and monetary authorities can make better informed decisions. The episodes that occurred during the debt crisis could be avoided.

This paper uses both financial and macroeconomic data to estimate CDS spreads and demonstrates that both financial and macroeconomic factors affect sovereign systemic and idiosyncratic risk. The proposed credit assessment and ratings schemes could supplement or potentially replace the credit ratings issued by the Big 3 ratings agencies.

Since sovereign ratings provided by credit rating agencies (CRAs) are a key determinant of the interest rates a country faces in the international financial market and once sovereign ratings may have a constraining impact on the ratings assigned to domestic banks or companies, some studies have focused on identifying the determinants of sovereign credit risk assessments provided by CRAs. In particular, this study estimates the effect of fiscal credibility on sovereign risk using four different comprehensive credit rating (CCR) measures obtained from CRAs' announcements and two different fiscal credibility indicators.

We build comprehensive credit rating (CCR) measures to capture sovereign risk. These measures are calculated using sovereign ratings, the rating outlooks and credit watches issued by the three main credit rating agencies (S&P, Moody's and Fitch) for long-term foreign-currency Brazilian bonds. Based on monthly data from 2003 to 2018, we use different econometric estimation techniques in order to provide robust results.

The results indicate that fiscal credibility exerts both short- and long-run effects on sovereign risk perception, and macroeconomic fundamentals are important long-run determinants.

Since fiscal credibility reflects the government's ability to maintain budgetary balance and sustainable public debt, the government should keep its commitment to responsible fiscal policies so as not to deteriorate expectations formed by financial market experts about the fiscal scenario and, thus, to achieve better credit assessments issued by CRAs with respect to sovereign debt bonds. Sovereign credit rating assessment is a voluntary practice. It is up to the country whether they want to apply for a rating assessment or not. Thus, without a sovereign rating, one must find an alternative to measure the sovereign risk of a country. In this sense, an important practical implication that this study provides is that fiscal credibility can be used as a leading indicator of sovereign risk perceptions obtained from CRAs or even as a proxy for sovereign risk.

This paper is the first to verify how important the expectations of financial market experts in relation to the fiscal effort required to keep public debt at a sustainable level (i.e. fiscal credibility) are to sovereign risk perception of credit rating agencies. In this sense, the study is the first to address this relation, and thus it contributes to the literature that seeks to understand the determinants of sovereign ratings in emerging countries.

The importance of obtaining a sovereign credit rating from an agency is still underrated in Africa. Literature on the determinants of sovereign credit ratings in Africa is scarce. The purpose of this research is to determine what the determinants are for sovereign credit ratings in Africa and whether these determinants differ between regions and income groups.

A sample of 19 African countries' determinants of sovereign credit ratings are compared between 2007 and 2014 using a panel-ordered probit approach.

The findings indicated that the determinants of sovereign credit ratings differ between African regions and income groups. The developmental indicators were the most significant determinants across all income groups and regions. The results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa.

The results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa. Rating agencies follow the same rating assignment process for developed and developing countries, which means investors will have to supplement the allocated credit rating with additional information. Africa can attract more investment if African countries obtain formal, accurate sovereign credit ratings, which take the characteristics of the continent into consideration.

This study is a comparative analysis of the magnitude of economic growth as a key determinant of long-term foreign currency sovereign credit ratings in 30 countries in Africa, Europe, Asia and Latin America from 2010 to 2018.

The analysis applies the fixed effects (FE) and random effects (RE) panel least squares (PLS) models.

The authors find that the magnitude economic coefficients are marginally small for African countries compared to other developing countries in Asia, Europe and Latin America. Results of the probit and logit binary estimation models show positive coefficients for economic growth sub-factors for non-African countries (developing and developed) compared to negative coefficients for African countries.

These findings mean that, an increase in economic growth in Africa does not significantly increase the likelihood that sovereign credit ratings will be upgraded. This implies that there is lack of uniformity in the application of the economic growth determinant despite the claims of a consistent framework by rating agencies. Thus, macroeconomic factors are relatively less important in determining country's risk profile in Africa than in other developing and developed countries.

First, studies that investigate the accuracy of sovereign credit rating indicators and risk factors in Africa are rare. This study is a key literature at the time when the majority of African countries are exploring the window of sovereign bonds as an alternative funding model to the traditional concessionary borrowings from multilateral institutions. On the other hand, the persistent poor rating is driving the cost of sovereign bonds to unreasonably high levels, invariably threatening their hopes of diversifying funding options. Second, there is criticism that the rating assessments of the credit rating agencies are biased in favour of developed countries and there is a gap in literature on studies that explore the whether the credit rating agencies are biased against African countries. This paper thus explores the rationale behind the African Union Decision Assembly/AU/Dec.631 (XXVIII) adopted by the 28th Ordinary Session of the African Union held in Addis Ababa, Ethiopia in January 2017 (African Union, 2017), directing its specialized governance agency, the African Peer Review Mechanism (APRM), to provide support to its Member States in the field of international credit rating agencies. The Assembly of African Heads of State and Government highlight that African countries are facing the challenges of credit downgrades despite an average positive economic growth. Lastly, the paper makes contribution to the argument that the majority of African countries are unfairly rated by international credit rating agencies, raising a discussion of the possibility of establishing a Pan-African credit rating institution.

The purpose of this paper is to investigate credit rationing across firms in euro zone countries, as it relates to its own sovereign credit ratings.

The authors utilize firm-level data from the Survey on Access to Finance of Enterprises for the period 2009-2013 conducted by the European Central Bank.

A negative association between the rating of sovereign creditworthiness and credit rationing is identified, while credit rationing varies substantially even among countries with the highest quality of sovereign bonds. Credit rationing is lower in sovereigns with high-quality ratings and higher in sovereigns near default. These results remain intact when fundamental firm characteristics (e.g. firm’s age and size, sector of economic activity, financial situation, etc.) are taken into consideration. This indicates that the interconnection of sovereign debt risk with domestic credit market outcomes is robust.

The present study contributes to the relevant literature by performing a detailed analysis of credit rationing for euro zone SMEs and by exploring the link between sovereign credit rating and credit rationing during the sovereign debt crisis period.

Given the importance of credit rating agencies’ (CRAs) assessment in affecting international financial markets, it is useful for policymakers and investors to be able to forecast it properly. Therefore, this study aims to forecast sovereign risk perception of the main agencies related to Brazilian bonds through the application of different machine learning (ML) techniques and evaluate their predictive accuracy in order to find out which one is best for this task.

Based on monthly data from January 1996 to November 2018, we perform different forecast analyses using the K-Nearest Neighbors, the Gradient Boosted Random Trees and the Multilayer Perceptron methods.

The results of this study suggest the Multilayer Perceptron technique is the most reliable one. Its predictive accuracy is relatively high if compared to the other two methods. Its forecast errors are the lowest in both the out-of-sample and in-sample forecasts’ exercises. These results hold if we consider the CRAs classification structure as linear or logarithmic. Moreover, its forecast errors are not statistically associated with periods of changes in CRAs’ opinion of any sort.

To the best of the authors’ knowledge, this study is the first to evaluate the performance of ML methods in the task of predicting sovereign credit news, including not only the sovereign ratings but also the outlook and credit watch status. In addition, the authors investigate whether the forecasts errors are statistically associated with periods of changes in sovereign risk perception.

The purpose of this paper is to examine the impact of sovereign credit ratings on corporations in South Africa by assessing whether the sovereign rating assigned to South Africa by credit rating agencies acts as a ceiling/constraint for credit ratings assigned to corporations that operate within the country. The question of whether sovereign ratings are significant in determining corporate ratings was also explored.

To test the hypothesis regarding the rating of corporates relative to sovereigns, a longitudinal panel design was followed. The analysis employed fixed effects and generalized method of moments techniques.

The main findings are that sovereign ratings both act as a ceiling for corporate ratings and are important determinants of corporate ratings in South Africa. The findings however indicated that company specific variables (accounting variables) are not significant in explaining credit risk ratings assigned to corporates.

This study only looked at the rating activity done by Standard and Poor’s (S&P). A possible further study could explore the hypothesis tested in this research using data from multiple rating agencies and contrast the results across different agencies. Future studies could also look at crisis periods and how the transfer risk discussed in this paper manifests during the transfer period.

The results have implications for the borrowing costs incurred by corporates in South Africa when participating in the international debt market. The implication is that if the sovereign is poorly rated, the corporates may be limited in their ability to secure investor funding at competitive rates from the international financial markets. Thus, should South Africa be downgraded to non-investment grade by S&P, the implications may be that South African corporates on average may suffer the same fate.

Extant literature predominantly utilizes foreign currency ratings. To the extent that this study uses local currency ratings, it adds a new dimension in the body of related studies.

Credit rating agencies (CRAs) are perceived as highly influential in the financial system since their announcements can affect several players in the financial markets, from big private financial and non-financial companies and their financial markets experts to sovereign states. In this sense, this study investigates whether sovereign credit news issued by CRAs (measured by comprehensive credit rating (CCR) variables) affect the uncertainties about the exchange rate in the future (captured by the disagreement about exchange rate expectations). The study is relevant once there is evidence indicating that CRAs' assessments are responsible for affecting international capital flows and, thus, sovereign rating changes can affect the expectations formation process regarding the exchange rate. In addition, there is evidence indicating that the disagreement about exchange rate expectations affects the disagreement about inflation expectations, which brings consequences to policymakers.

The dependent variables are the disagreement in expectations about the Brazilian exchange rate for different forecast horizons, 12, 24 and 36 months ahead and the first principal component of theses series. On the other hand, the CCR variables are built upon the long-term foreign-currency Brazilian bonds ratings, outlooks and credit watches provided by the main CRAs. Estimates are obtained using ordinary least squares (OLS) and generalized method of moments (GMM); a dynamic analysis is performed using vector-autoregressive (VAR) through impulse-response functions.

Negative (positive) sovereign credit news, given by a rating downgrade (upgrade) and/or a negative (positive) outlook/watch status, increase (decrease) the disagreement about exchange rate expectations. This result holds for all disagreement and CCR variables.

The study brings practical implications to both private agents (mainly financial market experts) and policymakers. An important practical implication of the study concerns the ability of CRAs to affect the expectations formation process of financial market experts regarding the future behavior of the exchange rate. When a CRA issues a signal of improvement in a country's sovereign rating, this signal reflects the perception of improvement in macroeconomic fundamentals and reduction of uncertainties about the country's ability to honor its financial obligations, which therefore, facilitates the expectations formation process, causing a reduction in the disagreement about the exchange rate expectations. With respect to the consequences for policymakers, they will have more difficulty in guiding expectations in a country with a worse sovereign risk rating, where agents have difficulties in forming expectations and the disagreement in expectations is greater.

The study is the first to analyze the impact of CRAs' announcements on the disagreement about exchange rate expectations. Moreover, it connects the literature that investigates the effects of sovereign credit news on the economy with the literature that examines the main determinants of disagreement in expectations about macroeconomic variables.

The purpose of this paper is to examine the information spillover of sovereign rating changes on the market valuation of bank stocks in Africa.

First, the authors apply event study methodology to evaluate the stock market reaction of African bank stocks on the announcement of sovereign rating changes. Second, the cross sections of the abnormal returns are examined by multivariate regression analyses. Third, the findings are proved for robustness.

The authors investigate how 37 African banks react to 203 African sovereign rating announcements from the three leading credit rating agencies over the period 2010-2016 and find that negative announcements trigger the significant positive stock reactions of African banks, especially contributed by banks in the non-reviewed African countries. These unusual reactions can be explained by the low integration and the severe information asymmetry of African capital markets. The authors further locate the influencing factors of banks’ reactions and show that rating downgrades magnify the abnormal effects while the membership of the African Free Trade Zone mildens the stock market reactions.

Limitations are given by the limited sample size. There are only limited numbers of publicly listed African banks with sufficient trading data.

The paper argues for a critical dependency of African bank equity valuation in the case of sovereign debt rating changes in neighbor countries. This observation is important for the risk assessment of African banking assets.

The paper is the first to examine stock market reactions on sovereign rating announcements for the evaluation of capital market integration in Africa. It thereby underlines the usefulness of this simply to apply approach as an instrument for ongoing examining the progress in capital market development in emerging countries.

This paper, using the model suggested by Cantor and Pecker (1996), aims to explore the relations between sovereign ratings and bond yield spreads in emerging markets.

The ordinary least square regression procedure administered on the most recent sovereign ratings of 46 countries demonstrates how the macroeconomic information embody in the sovereign rating scores predict their bond yield spreads relative to the yield on US Treasury bond.

The research finds that the assigned rating scores do not herald the complete elites of the macroeconomic conditions in emerging markets, and there is more incremental information in the publicly available macroeconomic variables, which is much useful in predicting bond yield spreads than that embedded into the sovereign ratings.

The outcomes of the research have strategic implications for global investors and policymakers. The use of credit rating scores along with the macroeconomic fundamentals in emerging economies produces better predictions than the benchmark predictions solely based on the rating scores suggested by the previous research.

This study is the first one to address the issues related to sovereign ratings and bond yield spread in developing and emerging markets using the most recent ratings during the period of the economic recoveries, following the global financial crisis of 2008.