The novel Coronavirus disease (COVID-19) is a severe respiratory infection that officially occurred in Wuhan, China, in December 2019. In late February, the disease began to spread quickly across the world, causing serious health, social, and economic emergencies. This paper aims to forecast the...

We follow the behavioral equilibrium exchange rate approach by Clark and MacDonald (1998) to derive equilibrium real effective exchange rates and currency misalignments for the US and its 16 major trading partners. We apply cointegration and panel cointegration techniques to derive fully...

This study provides empirical evidence regarding the effect of analysts' country familiarity on their forecast behavior. Prior research has generally agreed that local analysts outperform their nonlocal counterparts due to information advantage or local familiarity. However, the effect of...

The study analyses the characteristics of professional exchange rate forecasts for the €/US-$ rate. The results indicate that the quality of forecasts produced by profes-sional economists is rather poor and incompatible with the rational expectations hy-pothesis. This dismal result is...

The Phillips curve, which posits a relationship between inflation and domestic economic activity, introduces a crucial trade-off between real and nominal objectives for the central bank. Atkeson and Ohanian (2001), among others, present evidence that forecasts of U.S. inflation from Phillips...

The study analyses the characteristics of professional exchange rate forecasts for the € /US-$ rate. The results indicate that the quality of forecasts produced by professional economists is rather poor and incompatible with the rational expectations hypothesis. This dismal result is according...

This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...

The difficulty in modelling inflation and the significance in discovering the underlying data generating process of inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine learning and econometric methodologies in forecasting the...