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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%
“…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.…”
“…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.…”
“…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
We study the state-dependent trading behavior of financial intermediaries in the oil futures market, using structural vector autoregressions with Markov switching in heteroskedasticity. We decompose changes in futures price volatility into changes in the slopes of traders' demand curves and in the variability of their demand shocks. We find that the downward-sloping demand curve of intermediaries steepens significantly during turbulent times. Moreover, the variance of intermediaries' own demand shocks doubles during these episodes. These findings suggest that the futures pricing of intermediaries is nonlinear and increases the hedging costs of producers and processors of oil when volatility is high.
“…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.…”
The Greek crisis has brought to light the strong nexus between the credit risks of European banks and their sovereign. We study this phenomenon in Germany, France, Italy and Spain by estimating the conditional correlations between sovereign and bank CDS bond spreads over the period 2006-2015. Trivariate time-varying regime switching correlation analyses, such as the STCC-GARCH and DSTCC-GARCH, are implemented to associate causally the state shifts to the dynamics of the so-called “transition variables”. We find evidence of significant changes in the correlation structures due to the evolution of both the Greek and Italian crises.
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