This paper identifies five factors that can capture 95% of the variance across 39 US dollar exchange rates based on the principal component method. A time-varying parameter factor-augmented vector autoregressive (TVP-FAVAR) model is used to analyze the determinants of movements in these exchange...

Dramatic fluctuations in oil prices from time to time demand more research that can evaluate the impact of oil price shocks across the globe. Using a large-scale structural vector autoregression (SVAR) model that allows for an evolving parameter structure and that covers 60 oil-importing and...

We apply both conventional and spatial techniques to panel data for US states to examine the effects of plausibly exogenous oil price shocks on economic growth. Contrary to the oil curse claims, we find that oil price shocks have numerically moderate but highly statistically significant positive...

In this paper, we re-investigate the effects of oil price and its uncertainty on China's macroeconomic activities using a monthly generalized VAR model with stochastic volatility in mean, named interactive VAR-SV-in-mean model, which allows for interactions amongst variables' levels and...

Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in Sub-Saharan Africa. We choose nine Sub Saharan African countries that are heavily dependent on a single agricultural commodity for a significant portion of their income. This...