About the Journal

The Predictive Analytics and Forecasting is a peer reviewed journal. Published quarterly, its objective is to unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers.

The PAF publishes papers covering all aspects of forecasting, including forecasting methods, applications, implementation, evaluation, and organizational behavior.

Topics Covered in the PAF, but not limited to

  • economic and econometric forecasting
  • marketing forecasting
  • new products forecasting
  • financial forecasting
  • operations forecasting
  • technological forecasting
  • forecasting applications in business, government, and the military
  • demographic forecasting
  • energy forecasting
  • climate forecasting
  • crime forecasting
  • seasonal adjustments and forecasting
  • time series forecasting
  • legal and political aspects of forecasting
  • implementation of forecasting
  • judgmental/psychological aspects of forecasting
  • impact of forecast uncertainty on decision making
  • organizational aspects of forecasting
  • evaluation of forecasting methods and approaches