Preventing Negative Values When Forecasting Non-Negative Time Series Variables Cover Image

Preventing Negative Values When Forecasting Non-Negative Time Series Variables
Preventing Negative Values When Forecasting Non-Negative Time Series Variables

Author(s): Ali Tfaily
Subject(s): Economy, Micro-Economics
Published by: Facultatea de Management, Academia de Studii Economice din Bucuresti
Keywords: Forecasting; Time series; ARIMA; GARCH; Monte Carlo simulation;

Summary/Abstract: Long run time series variables forecasting is of special importance to academics and professionals alike. In this paper, the disadvantage of the “Natural Logarithm” transformation that prevents generating negative values in the forecast horizon is discussed. An alternative technique that does not suffer from the disadvantage of the “Natural Logarithm” transformation is presented. Both methods have been applied for forecasting the average USD deposits rate offered in the Lebanese retail banking industry.

  • Issue Year: 8/2018
  • Issue No: 2
  • Page Range: 53-65
  • Page Count: 13
  • Language: English