The consequences of the ongoing 2020 coronavirus pandemic are leaving deep marks on the global economy. In the first quarter of 2020, global production sank by 15.5 percent over the course of the worldwide lockdown. Since containment measures in many countries were mainly implemented during the...

We propose a parsimonious semiparametric method for macroeconomic forecasting during episodes of sudden changes. Based on the notion of clustering and similarity, we partition the time series into blocks, search for the closest blocks to the most recent block of observations, and with the...

This paper uses several macroeconomic and financial indicators within a Markov Switching (MS) framework to predict the turning points of the business cycle. The presented model is applied to monthly German real-time data covering the recession and the recovery after the financial crisis. We show...