RESEARCH OF DEBT SECURITY OF UKRAINE

Author(s):  
Oksana Kardash

On the basis of retrospective analysis of national debt in Ukraine its dynamics, structure is investigated; division of its development into periods is made. The regularities of Ukraine’s government debt have been identified and the basic tendencies of the internal and external debt have been shown. The sovereign credit rating of Ukraine has been investigated as a factor of debt security.

2018 ◽  
pp. 49-70
Author(s):  
António Afonso ◽  
André Albuquerque

We study the factors behind ratings mismatches in sovereign credit ratings from different agencies, for the period 1980‑‑2015. Using random effects ordered and simple probit approaches, we find that structural balances and the existence of a default in the last ten years were the least significant variables. In addition, the level of net debt, budget balances, GDP per capita and the existence of a default in the last five years were found to be the most relevant variables for rating mismatches across agencies. For speculative‑‑grade ratings, a default in the last two or five years decreases the rating difference between S&P and Fitch. For the positive rating difference between S&P and Moody’s, and for investment‑‑grade ratings, an increase in external debt leads to a smaller rating gap between the two agencies.


2020 ◽  
Vol 12 (1) ◽  
pp. 12
Author(s):  
Yaser A. AlKulaib ◽  
Musaed S. AlAli

Despite the controversy surrounding the credibility of credit rating agencies’ rating systems, these agencies' ratings still play a crucial role in determining the premium paid by governments on their bonds. As a result, obtaining a high sovereign credit rating would lower borrowing costs and more demand for their bonds. In order to do so, policymakers should be aware of the factors that mostly affect the sovereign credit rating of their countries. While there are many factors credit rating agencies consider when assigning a sovereign credit rating for any country, this study aims to identify the factors that mostly affect Gulf Cooperation Council (GCC) countries’ sovereign credit ratings assigned by the biggest three credit rating agencies, Standard and Poor’s (S&P), Moody’s, and Fitch. This study is based on the Gulf Cooperation Council (GCC) data 2012–2018. Results obtained from this research show that interest rate, government debt to GDP ratio, GDP per capita, and the labeling of the country as developed or developing country was the variables that mostly affect the S&P rating. GDP per capita and government debt to GDP were the factors that most influenced Moody’s scores. In contrast, GDP, interest rate, transparency score, government debt to GDP, and GDP per capita were the factors that most affect Fitch's credit rating scores. The results also revealed that in 2018, Kuwait was the most overrated country, while Oman was the most underrated country.


2019 ◽  
Author(s):  
Yasir Riaz ◽  
Choudhry Tanveer Shehzad ◽  
Robert W. Faff

2019 ◽  
Vol 11 (23) ◽  
pp. 6636 ◽  
Author(s):  
Chunling Li ◽  
Khansa Pervaiz ◽  
Muhammad Asif Khan ◽  
Faheem Ur Rehman ◽  
Judit Oláh

In modeling the impact of sovereign credit rating (CR) on financial markets, a considerable amount of the literature to date has been devoted to examining the short-term impact of CR on financial markets via an event-study methodology. The argument has been established that financial markets are sensitive to CR announcements, and market reactions to such announcements (both upgrading and degrading) are not the same. Using the framework of an autoregressive distributed lag setting, the present study attempted to empirically test the linear and non-linear impacts of CR on financial market development (FMD) in the European region. Nonlinear specification is capable to capture asymmetries (upgrades and downgrades) in the estimation process, which have not been considered to date in financial market literature. Overall findings identified long-term asymmetries, while there was little evidence supporting the existence of short-term asymmetries. Thus, the present study has extended the financial market literature on the subject of the asymmetrical impact of a sovereign CR on European FMD and provides useful input for policy formation taking into account these nonlinearities. Policies solely based upon linear models may be misleading and detrimental.


2014 ◽  
Author(s):  
Martin Alexy ◽  
Marek Kacer ◽  
Pavol Ochotnicky

2015 ◽  
Vol 24 ◽  
pp. 218-227 ◽  
Author(s):  
Leila Fourie ◽  
Ilse Botha

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