The pandemic has accelerated the search for innovative product/process/service solutions in city markets as well as the search for “open innovation challenges” more in line with current needs. The aim of the research is to understand the adaptation mechanisms of the local food system and, in...

This study is the first to test a financing-based misvaluation factor (UMO, undervalued-minus-overvalued), first proposed by Hirshleifer and Jiang (2010), for the Pakistani stock market. I find that the UMO factor, long underpriced (repurchase) stocks and short overpriced (new issue) stocks,...

This paper describes recent work to strengthen nowcasting capacity at the IMF's European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...

We forecast economic activity in Argentina on a quarterly real-time basis using dynamic factors models (DFM) (Blanco et al. 2018) and evaluate their forecasting performance during the COVID19 pandemic of 2020. We compare the results of forecasts based on a pre-pandemic estimation of the...