The relevant forecast of variance of income for marketing decisions under uncertainty

作者: Steven Scott Duncan

DOI: 10.31274/RTD-180813-8856

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摘要: This dissertation simulated spring and fall soybean marketing decisions with historical prices in order to investigate the economic significance of incorrectly measuring variance return from a alternative. Some authors have suggested that forecasted mean price describes distribution is relevant for within-year decisions. maintained momentary these The concept important more than just future month but also current or decision month. Comparisons were made between using one two irrelevant variances variance. As measure closeness rules, comparisons identified probability would yield same as second closeness, income received an be, at worst, only some small amount less

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