This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from...

This paper presents results from a model intercomparison exercise among regionalized global energy-economy models conducted in the context of the RECIPE project. The economic adjustment effects of long-term climate policy aiming at stabilization of atmospheric CO2 concentrations at 450 ppm are...

Climate change is one of the greatest challenges facing humankind this century. If left unchecked, it is likely to result in more frequent and severe climatic events, with the potential to cause substantial disruption to our economies, businesses and livelihoods in the coming decades. Yet the...

As it is becoming clear that climate change will exert a major impact on inflation, economic growth, and financial system stability, central banks and financial regulators have increasingly recognized that they can no longer ignore climate change and other environmental issues. In general,...