In this study, we investigate the nature and possible sources of economic fluctuations in oil exporting countries using principle component and impulse-response analysis. The principal component analysis shows that the first two components can be statistically significantly explained by world...

In this study, we investigate relative performance of various non-linear models against that of an autoregressive model in forecasting future inflation. We find that non-linear models have trivial forecast superiority over the univariate autoregressive model in terms of central forecast...

In this study, we build and use a factor-augmented vector autoregressive (FAVAR) model to forecast inflation and output in Azerbaijan. The FAVAR model is particularly effective in data-rich environments, alleviating the curse of dimensionality of the standard VAR model and handling omitted...