Author(s)

Yalalt Dandar¹, Liu Chang²

¹Faculty of Economics and Management, Northeast Agricultural University, Harbin, China.
²Education Center of College of Economics and Management, Northeast Agricultural University, Harbin, China.

Sea buckthorn market floated uncertainly within a narrow range. The market situation provided upward pressure on prices, and producer and consumer interest were poor, coupled with weak prices in the regional markets. The objectives of the study are: 1) to estimate the relationship between wild Sea buckthorn (SB) price and Supply, Demand, while some other factors of crude oil price and exchange rate by using simultaneous Supply-Demand and Price system equation and Vector Error Correction Method (VECM); 2) to forecast the short-term and long-term SB price; 3) to compare and evaluate the price forecasting models. Firstly, the data was analyzed by Ferris and Engle-Granger’s procedure; secondly, both price forecasting methodologies were tested by Pindyck-Rubinfeld and Makridakis’s procedure. The result shows that the VECM model is more efficient using yearly data; a short-term price forecast decreases, and a long-term price forecast is predicted to increase the Mongolian Sea buckthorn market.

Short-Term and Long-Term, Price Forecasting Models, Simultaneous System Equation, VECM, Sea Buckthorn, Mongolia

Dandar, Y. and Chang, L. (2022) Short-Term and Long-Term Price Forecasting Models for the Future Exchange of Mongolian Natural Sea Buckthorn Market. Agricultural Sciences, 13, 467-490. doi: 10.4236/as.2022.133032.