This paper examines some economic forecasts made in late 1930 that were intended to predict economic activity in the United States in order to shed light on several methodological issues. We document that these forecasts were extremely optimistic, predicting that the recession in the US would...

In this paper we compare a set of different standard GARCH models with a group of Markov Regime-Switching GARCH (MRS-GARCH) in terms of their ability to forecast the US stock market volatility at horizons that range from one day to one month. To take into account the excessive persistence...

In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies. Unlike previous studies that typically consider multiple but fixed model...

An ARIMA linear transfer function model is estimated for El Paso, Texas. Sample data are from January 1994 through December 2002. Beyond parameter estimation, empirical analysis is also carried out using out- of-sample model simulations. Results indicate that the equation forecasts compare...

Linear transfer ARIMA analysis of monthly per meter water consumption is conducted for Chihuahua City, Mexico. Sample data from January 1988 to December 2000 are analyzed. Time series utilized include water system revenue, climate, and industrial production data. Out-of-sample simulations are...

This paper evaluates the inflation density forecasts published by the Swedish central bank, the Sveriges Riksbank. Realized inflation outcomes are mapped to their forecasted percentiles, which are then transformed to be standard normal under the null that the forecasting model is good. Results...

Clements and Hendry (1993) proposed the Generalized Forecast Error Second Moment (GFESM) as an improvement to the Mean Square Error in comparing forecasting performance across data series. They based their conclusion on the fact that rankings based on GFESM remain unaltered if the series are...

We analyse the performance of budgetary and growth forecasts of all stability and convergence programmes submitted by EU member states over the last decade. Differences emerge for the bias in budgetary projections across countries. As a second step we explore whether economic, political and...