A number of recent studies in the macro-finance literature that addresses the link between asset prices and economic fluctuations have focused on the usefulness of various factor models in the context of now-casting using very big dataset. The issue of factor extraction is usually swept under...

In this paper, we assess the predictive content of latent economic policy uncertainty and data surprises factors for forecasting and nowcasting GDP using factor-type econometric models. Our analysis focuses on five emerging market economies, including Brazil, Indonesia, Mexico, South Africa, and...

This paper investigates the source of variation in emerging market (EM) local currency bond risk premium by employing panel fixed effects regression model. Moreover, we use the methodology of dynamic factor model for large datasets to investigate the possible linkages between excess bond return...

In this paper, we contribute to the nascent literature on nowcasting and forecasting GDP in emerging market economies using big data methods. This is done by analyzing the usefulness of various dimension reduction, machine learning and shrinkage methods including sparse principal component...

This paper investigates the relationship between the yield curve and macroeconomic factors for ten emerging sovereign bond markets using the sample from January 2006 to April 2019. To this end, the diffusion indices obtained under four categories (global variables, inflation, domestic financial...