Eurozone Crisis and Banks’ Creditworthiness: What is New for Credit Default Swap Spread Determinants?

2020 ◽  
pp. 097215091988617
Author(s):  
Alessandra Ortolano ◽  
Eliana Angelini

The article analyses banks’ credit default swap (CDS) spread determinants, in light of the Eurozone debt crisis. The attention to this aspect is due to the very linkage between banking and sovereign sectors particularly evident during the aforementioned crisis. The study is conducted on a sample of Eurozone banks over the period 2009–2014 through a feasible generalized least squares (FGLS) linear panel data regression. The variables adopted are both balance sheet ratios and macroeconomic factors. The main results confirm the attention pointed at the influence of public conditions to the banking sector, as proved by the significance of variables like the 10-year bond yields or the long-term sovereign rating. It is also interesting to observe the output dealing with public debt, which may suggest opportunities not only of investment but also of speculation for banks on the debt itself. Balance sheet ratios, instead, are not significant. Our study is an additional contribution to the strand of literature that analyses the strong interconnections between the riskiness of banks and the public sector and it is a suggestion to proceed the research with a deeper analysis on systemic risk and its impact on banking CDS spread.

2007 ◽  
Vol 15 (4) ◽  
pp. 450-463
Author(s):  
Halit Gonenc ◽  
Floris Schorer ◽  
Willem P.F. Appel

2018 ◽  
Vol 19 (5) ◽  
pp. 478-512 ◽  
Author(s):  
Rick van de Ven ◽  
Shaunak Dabadghao ◽  
Arun Chockalingam

Purpose 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. Design/methodology/approach 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. Findings The developed model accurately estimates CDS spreads (based on RMSE values). Credit ratings issued retrospectively using the new scheme reflect reality better. Research limitations/implications This paper reveals that both macroeconomic and financial factors affect both systemic and idiosyncratic risks for sovereigns. Practical implications The developed credit assessment and ratings scheme can be used to evaluate the creditworthiness of sovereigns and subsequently assign robust credit ratings. Social implications 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. Originality/value 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.


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