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area sovereign debt crises. We find that macro and default-specific world factors are a primary source of default …
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Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
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components for a large data set comprising the U.S., the EU-27 area, and the respective rest of the world. Credit risk conditions …
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We assess whether climate transition risk is priced in Europe's equity market by analysing relative equity returns of high versus low CO2-emitting firms. We use a panel data set covering firm-specific carbon emissions of 1,555 European companies over the period 2005-2019. We add to the existing...
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