When we first began publication of the Journal of Forecasting, we reviewed policies that were used by other journals and also examined the research on scientific publishing. Our findings were translated into a referee's rating form that was published in the journal [Armstrong (1982a)]. These...

The major advantage of electronic markets over nonelectronic traditional market places is that trading partners use more sophisticated methods, rules and systems of information exchange. The internet has inevitably boosted this advantage over the last decade, making electronic markets the...

Forecasting the returns from investments in mutual funds is a very difficult problem. This study examines a new forecasting approach and system for the performance of mutual funds in Greece. This is accomplished via an application of a variation of the Theta model on a time series composed of...

The Theta model created a lot of interest in academic circles due to its surprisingly good performance in the M3 forecasting competition. However, this interest was not followed up by other studies, with the exception of Hyndman and Billah in 2003. In addition, the Theta model performance has...

We significantly extend earlier work by Assimakopoulos and Nikopoloulos (2000) and Hyndman and Billah (2003) on the properties and performance of the Theta model, and potentially explain its very good performance in the M3 forecasting competition. We derive a number of new theoretical results...

Forecasting the returns from investments in mutual funds is a very difficult problem. This study examines a new forecasting approach and system for the performance of mutual funds in Greece. This is accomplished via an application of a variation of the Theta model on a time series composed of...

This paper proposes a new approach to time series forecasting based upon three premises. First, a model is selected not by how well it fits historical data but on its ability to accurately predict out-of-sample actual data. Second, a model/method is selected among several run in parallel using...

An alternative to using a single forecasting method is to average the forecasts obtained from several methods. In this paper we investigate empirically the impact of the number and choice of forecasting methods on the accuracy of simple averages. It is concluded that the forecasting accuracy...

A major use of univariate forecasting methods lies in production control where there is a large number of series to be forecast. The appropriate choice of forecasting method has the potential for major cost savings through improved accuracy. Where a new method is to be compared to one already...