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2016
DOI: 10.2139/ssrn.2737274
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The State Dependent Impact of Bank Exposure on Sovereign Risk

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 5 publications
(9 citation statements)
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References 36 publications
(11 reference statements)
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“…However, similar NPL ratios turn out not to be of statistical significance. (Podstawski and Velinov (2018)).…”
Section: International Spilloversmentioning
confidence: 99%
See 1 more Smart Citation
“…However, similar NPL ratios turn out not to be of statistical significance. (Podstawski and Velinov (2018)).…”
Section: International Spilloversmentioning
confidence: 99%
“…Third, another potential channel of spillovers is that when a banking sector is in distress, it can trigger fire sales of the government bonds it holds, increasing in turn the credit risk of the sovereign issuer. Fourth, distress for banks may affect their lending activity and therefore impact sovereign risk through a slowdown in economic growth (Podstawski and Velinov (2018)). For the third and fourth channels, we therefore include two exposure variables in the regression set: the share of domestic government bonds and the share of domestic non-bank assets that the banking sector holds.…”
Section: International Spilloversmentioning
confidence: 99%
“…Note that the latter do not contain any sign restrictions on the coefficients a i (S). Following Podstawski and Velinov (2016), we use the following concentrated out log likelihood function in the maximization step of the EM algorithm:…”
Section: Estimation and Bootstrap Proceduresmentioning
confidence: 99%
“…ϕ t is either 1 or -1 with probability 0.5. This is a commonly used technique for these types of models (Herwartz andLütkepohl, 2014, Podstawski andVelinov, 2016).…”
Section: Estimation and Bootstrap Proceduresmentioning
confidence: 99%
“…Both sides can be at work at the same time. Podstawski and Velinov (2018) find heterogenous and time varying effects of bank exposure on sovereign credit risk in the Euro area. (Note 2) A destabilizing impact -running from bank exposure to sovereign default risk -characterizes Spain, Italy and Portugal, especially during phases of financial turmoil, whereas a stabilizing effect characterizes the EMU core countries.…”
Section: Introductionmentioning
confidence: 98%