Although the Covid-19 crisis has shown how high-frequency data can help track economy in real time, we investigate whether it improve nowcasting accuracy of world GDP growth. To this end, build a large dataset 718 monthly and 255 weekly series. Our approach builds on Factor-Augmented MIxed DAta Sampling (FA-MIDAS), which extend with preselection variables. We find that markedly enhances perform...

Abstract We apply a multivariate mixed-data sampling (MIDAS) conditional quantile regression technique to understand the dairy commodity exposure of European firms. Leveraging theoretically sound hedonic pricing framework, we show that our approach is able identify both market and operational risk. Profit margins for butter milk price are particularly important performance. Additional tests pro...

The identification of thousands of variants across the genomes and their accurate genotyping are crucial for estimating the genetic parameters needed to address a host of molecular ecological and evolutionary questions. With rapid advances of massively parallel high-throughput sequencing technologies, several methods have recently been developed to access genomewide data on population variation...

During its 36. Annual Meeting from June 9.-10., 2017, in Greifswald (Germany), the German Society for Clinical Microcirculation and Hemorheology hosted the 5th MIDAS Microcirculation Meeting (3M). MIDAS stands for Microcirculation Diagnostics and Applied Studies research group, founded 2012 in Halifax (Canada). This international group consists of basic scientists and clinical researchers with ...

The present study was an attempt, in the first place, to find out whether there is any relationship between Iranian EFL learners' multiple intelligences and their language proficiency. The second objective was to explore whether one of intelligences or combination of intelligences are predictors of language proficiency. To this end, 228 subjects of this study were chosen from among 280 English ...