Using Time Series Analysis Forecast Post-Covid-19 Period Deep Sea Freight Transportation Index

This paper is a study to predict the trend of Deep Sea Freight Transportation Index after end COVID-19 using ETS modeling in context abnormal increase due epidemic time series analysis. The purpose help international supply chain practitioners and shipping companies make risk assessments advance at decision-making level. In methodology section, primary dataset used US secondary WTI Crude Oil Index. forecast result that U.S. will remain high for next two years, supports accuracy this its plot based on correlation with Therefore, suggests operators should respond continued ocean costs years avoid inventory profit decline.