Recent advances in testing for the validity of Purchasing Power Parity (PPP) focus on the time series properties of real exchange rates in panel frameworks. One weakness of such tests, however, is that they fail to inform the researcher as to which cross-section units are stationary. As a...

This paper develops a two-block Structural Vector Autoregression featuring time-varying parameters and stochastic volatility to estimate the changing spillover of global oil shocks into the Maltese economy during the period that goes from January 2008 to March 2022. The model is estimated by...

The paper's objective is to examine whether the Indian Rupee was fairly valued as of end March 2015. First, the movements of the trade weighted real effective exchange rate (REER) of the Rupee are tracked over the last ten years. Next, the underpinnings of the Harrod-Balassa-Samuelson effect,...

This study provides quarterly time-series estimates of the misalignment in the REER of the Renminbi (RMB). The estimation is based on a commonly used economic approach, but with a wider and more up-to-date coverage of data and a more extensive use of econometric modelling techniques. Our...

This paper investigates the relationship between energy prices and the real effective exchange rate of commodity-exporting countries. We consider two sets of countries: 10 energy-exporting and 23 non-fuel commodity-exporting countries over the period 1980-2011. Estimating a panel cointegrating...

This is a comparative study on the historical experience of real effective exchange rate (REER) misalignment of Japanese yen, Deutsche mark, Singapore dollar and Taiwan dollar, with regard to the recent dispute over the Renminbi (RMB) valuation. Panel-based misalignment estimates of the four...

We propose an extended time-varying parameter Vector Autoregression that allows for an evolving relationship between the variances of the shocks. Using this model, we show that the relationship between the conditional variance of GDP growth and the long-term interest rate has become weaker over...

We develop a dynamic factor model with time-varying parameters and stochastic volatility, estimate it with several variables for a large number of countries and decompose the variance of each variable in terms of contributions from uncertainty common to all countries (global uncertainty),...