Price multifractality and informational efficiency in the futures markets of the US soybean complex

Panos Fousekis () and Dimitra Tzaferi ()
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Panos Fousekis: Aristotle University of Thessaloniki, Greece
Dimitra Tzaferi: Aristotle University of Thessaloniki, Greece

Applied Econometrics, 2022, vol. 66, 68-84

Abstract: This work investigates price multifractality and informational efficiency in the futures markets of the US soybean complex (soybeans, soybean meal, soybean oil, and the crush spread) using daily prices from 2015 to 2021 and Multifractal Detrended Fluctuation Analysis (MFDFA). The empirical findings suggest: First, none of the four series exhibited long-range dependence. They did, however, show considerable serial dependence locally. The futures prices of soybeans and soybean oil, and of the crush spread were locally anti-persistent (persistent) for large (small) fluctuations whereas the futures prices of soybean meal were persistent for all small and large fluctuations. Second, all markets in the US soybean complex exhibited some degree of informational inefficiency with that of the crush spread being less efficient relative to the other three. Overall, the results provide valuable information to investors as to whether trend-following or oscillatory trading strategies are more appropriate.

Keywords: price predictability; multifractality; informational efficiency; soybean complex (search for similar items in EconPapers)
JEL-codes: C12 G14 Q11 (search for similar items in EconPapers)
Date: 2022
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