What is the Relation between Systemic Risk Exposure and Sovereign Debt?

Author(s):  
Michael S. Pagano ◽  
John Sedunov
2020 ◽  
Vol 32 (6) ◽  
pp. 347-355
Author(s):  
Mark Wahrenburg ◽  
Andreas Barth ◽  
Mohammad Izadi ◽  
Anas Rahhal

AbstractStructured products like collateralized loan obligations (CLOs) tend to offer significantly higher yield spreads than corporate bonds (CBs) with the same rating. At the same time, empirical evidence does not indicate that this higher yield is reduced by higher default losses of CLOs. The evidence thus suggests that CLOs offer higher expected returns compared to CB with similar credit risk. This study aims to analyze whether this return difference is captured by asset pricing factors. We show that market risk is the predominant risk factor for both CBs and CLOs. CLO investors, however, additionally demand a premium for their risk exposure towards systemic risk. This premium is inversely related to the rating class of the CLO.


2017 ◽  
Vol 67 ◽  
pp. 275-284 ◽  
Author(s):  
Alexandra Popescu ◽  
Camelia Turcu
Keyword(s):  

2021 ◽  
Vol 69 (3-4) ◽  
pp. 65-79
Author(s):  
Svetlana Drljača-Kanazir

The subject of this research paper is quantification of the degree of systemic risk exposure of the Serbian banking sector's loan portfolio in the period from 2008Q4 to 2019Q3, including by main commercial segments (corporate and retail). The Basel Committee on Banking Supervision, under its regulatory framework, makes a distinction between corporate and retail loans regarding the exposure to systemic risk. Based on the above, the following hypotheses are set: a) There is a significant difference in systemic risk exposure between corporate and retail loans in the Serbian banking sector and b) Forecasting the exposure to systemic risk of the entire Serbian banking sector can be performed on the basis of corporate loans due to the specificity of the economic system of the Republic of Serbia. The results of the research corroborated the truthfulness of both hypotheses, which has a multifold significance for commercial banks' management, macroeconomic and macroprudential policy makers. First, banking and accounting regulations require stress-testing of probability of default on the change in macroeconomic aggregates and its impact on the bank's capital. Second, a bank's sensitivity to changes in macroeconomic aggregates predominantly depends on the loan portfolio structure by commercial segments. Third, the conclusion of the academic elite that the development of the capital market would lead to an increase in the macroeconomic stability of the Republic of Serbia and reduce the procyclicality of credit risk was confirmed. We used the autoregressive distributed lags model (ARDL model) because there is a difference in order of integration in the observed time series (I(0) and I(1)), and because this method provides good results for relatively small sample data sizes.


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