Forecasting Soybean Complex Prices: Univariate and Multivariate Time Series Models
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Date
1989-07
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Publisher
Ohio State University. Department of Agricultural, Environmental, and Development Economics
Abstract
To forecast prices within the soybean complex, a univariate, ARIMA, time series model and a multivariate, VAR, time series model are constructed. An economic evaluation of these models provides evidence that the VAR model will offer greater opportunity for significant economic returns than will the use of an ARIMA model.