Table A9.

The impact of bank solvency on the decision to issue CoCos. A logit random effects model

Dependent variable: AT1 CoCos(1)(2)(3)(4)
Independent variables    
Tier 1t−1−11.535*** (3.883)−9.11** (4.595)  
CET1t−1  −8.502** (3.629)−11.713** (4.759)
Control variables    
Net Loanst−10.189 (0.777)−0.742 (0.789)1.064 (0.74)−0.669 (0.8)
ROAAt−127.134 (22.781)17.971 (25.705)50.438** (22.88)20.162 (27.064)
RWAst−1−3.372*** (1.092)0.98 (1.157)0.089 (1.092)0.786 (1.227)
Total Assetst−1 0.695*** (0.112)0.559*** (0.1)0.685*** (0.114)
_cons−4.725*** (1.429)−14.322*** (2.383)−8.579*** (1.664)−9.28*** (1.939)
/lnsig2u1.359*** (0.218)0.559** (0.269)0.78*** (0.262)0.515* (0.286)
AIC879.285816.374815.805792.972
BIC934.368962.551881.890929.869
Observations2,1152,0431,8211,765
Time Fixed EffectYesYesYesYes
Country Fixed EffectNoYesNoYes

Notes:

Cluster-robust standard errors are in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

This table reports the results of the random effects logistic regression explaining the issuance of the AT1CoCos and bank solvency in Europe between 2011 and 2018. The dependent variable is a dummy which is equal to 1 when a bank issue CoCo in a given year and 0 otherwise. The variables of interest are the ratio of total Tier 1 capital to risk-weighted assets (RWA) and the ratio of bank Common Equity Tier 1 (CET1) to RWA. Control variables are the proportion of bank net loans to its total assets, the return on average assets (ROAA), RWA to total assets and the natural logarithm of bank total assets. All explanatory variables are winsorized at the 1st and 99th percentile and are lagged one year. Standard errors are clustered at the bank level

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