Forecasting bunker prices; A nonstationary, multivariate methodology
A new model for predicting multivariate time series of bunkers data is presented The model belongs to the class of cyclostationary processes. Application to 4 ports with good results both in the short- and long-term Nonstationary bunker forecasting fundamental tool to decision-makers
bunker prices nonstationary multivariate time series vector autoregressive mooving average air emissions