Showing 61 - 70 of 165
We study the effects of globalisation on the slope of the New Keynesian Phillips curve for CPI inflation, based on a broad panel of 35 countries and controlling for possibly non-linear exchange rate effects. We find that the output gap generally has a significant positive effect on inflation,...
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In spite of early skepticism on the merits of floating exchange rate regimes in emerging markets, 8 of the 25 largest countries in this group have now had a floating exchange rate regime for more than a decade. Using parsimonious VAR specifications covering the period of floating exchange rates,...
Persistent link: https://www.econbiz.de/10012756193
We analyse key determinants of bank profitability based on the evolution of balance sheets of 534 banks from 19 emerging market economies. We find that higher long-term interest rates tend to boost profitability, while higher short-term rates reduce profits by raising funding costs. We also find...
Persistent link: https://www.econbiz.de/10012930822
Sovereign risk premia have declined for the majority of emerging market economies. This paper analyzes the key drivers of risk premia, as proxied by the 5-year CDS spreads, using a quantile regression approach. We find that lower public debt and inflation, as well as higher growth are key to...
Persistent link: https://www.econbiz.de/10012827775
This study analyses oil price movements through the lens of an agnostic random forest model, which is based on 1,000 regression trees. It shows that this highly disciplined, yet flexible computational model reduces in-sample root mean square errors (RMSEs) by 65% relative to a standard linear...
Persistent link: https://www.econbiz.de/10013293295
We analyse the drivers of European Power Exchange (EPEX) retail electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...
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This paper examines the drivers of CPI inflation through the lens of a simple, but computationally intensive machine learning technique. More specifically, it predicts inflation across 20 advanced countries between 2000 and 2021, relying on 1,000 regression trees that are constructed based on...
Persistent link: https://www.econbiz.de/10013313422