This article investigates the statistical and economic implications of adaptive forecasting of exchange rates with panel data and alternative predictors. The candidate exchange rate predictors are drawn from (i) macroeconomic ‘fundamentals’, (ii) return/volatility of asset markets and (iii)...

We examine the predictive power of real time linear monetary models with possible nonlinear adjustment in forecast errors for the GBP/USD exchange rates. Real time revisions of UK and US monetary aggregates and output are significant; therefore the use of final data on fundamentals in...

In this paper we study the macroeconomic effects of large exchange rate appreciations. Using a sample of 128 countries from 1960-2008, we identify large nominal and real appreciations shocks and study their macroeconomic effects in a dummy-augmented panel autoregressive model. Our results show...

Although there seems to be a broad consensus among economists that purely floating or completely fixed exchange rates (the so-called corner solutions) are the only viable alternatives of exchange rate management, many countries do not behave according to this paradigm and adopt a strategy within...

We estimate the effects of a negative asymmetric demand shock on the real exchange rate for the euro area vis-à-vis the United States, Canada, and Japan by state-dependent sign-restricted local projection methods. We find a real depreciation when interest rates are not at the ZLB, but also when...

We study the impact of the ECB's large scale asset purchase programme on selected euro area and neighbouring countries. The effects of the programme are assessed by conducting an event study as well as by estimating a structural VAR model using a shadow short rate as a measure of the monetary...

Purpose: This paper examines whether the economies of oil-exporting countries respond to oil shocks differently, depending on the country’s political economy factors, such as regional economic alliance, stage of economic development, and the exchange rate regime, using a structural Vector...

This chapter demonstrates the usefulness of the GVAR modelling framework as a tool for scenario-based forecasting and counterfactual analysis. Working with the GVAR model developed by Greenwood-Nimmo, Nguyen and Shin (2010, J. Appl. Econometrics), we first show how probabilistic forecasting can...