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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...
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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...
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This paper investigates the importance of real exchange rates on export volumes by estimating a panel SVAR model using quarterly unbalanced panel data from 21 emerging markets over the 2005:Q1-2018:Q4 period. Although the results suggest no conclusive evidence that real exchange rate shocks do...
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