ABSTRACT Bulk shipping markets are close to a perfect competitive market that is influenced by many unpredictable factors. Freight rate and charter hire fluctuate unexpectedly so that owners and charterers encounter extreme high investment risks. The purpose of this paper is to forecast and analyze the Baltic Dry Index in order to effectively reduce shipping market risks. This paper applied Grey Model (1,1) and ARIMA (p,d,q) Model to construct BDI forecasting model for bulk shipping service, and to discuss its accuracy. The results of this paper will provide owners and charterers as a good reference for chartering decision-making.