The impact of the industrial and digital (information) revolutions has, undoubtedly, been substantial on practically all aspects of our society, life, firms and employment. Will the forthcoming AI revolution produce similar, ...

Accurate forecasts are essential for a great number of applications yet large errors and considerable uncertainty characterize most of our attempts for predicting the future. This article surveys empirical studies on ...

This paper surveys time-series methods developed and used in the fields of statistics, engineering, operation research and economics. It will describe each of the major methods now in existence and synthesize them into an ...

Time sharing computer configurations have introduced a new dimension in applying statistical and mathematical models to sequential decision problems. When the outcome of one step in the process influences subsequent ...

Long-term predictions are indispensable for planning and strategy. Yet little is known about their value, their limitations or the most appropriate way of making and using them. This paper examines these issues and proposes ...

This paper describes an empirical investigation aimed at measuring the effect of different initial values and loss functions (both symmetric and asymmetric) on the post-sample forecasting accuracy. The 1001 series of the ...

The Notes section of the international Journal of Forecasting contains commentary on the theory and practice of forecasting in the form of communications to the journal such as research notes, teaching tips, practitioners’ ...

This conclusion aims to summarize the major issues surrounding forecasting, as well as the extensive empirical evidence proving our inability to accurately predict the future. In addition, it discusses our resistance to ...

Eighteen time series differing in their trend (three categories), randomness (three categories), and presentation on a graph (two categories) were given to 350 MBA students in a laboratory experiment. Each student was asked ...

The purpose of the M2-Competition is to determine the post sample accuracy of various forecasting methods. It is an empirical study organized in such a way as to avoid the major criticism of the M-Competition that forecasters ...