Cross-correlations between crude oil and agricultural commodity markets

Li Liu

Physica A: Statistical Mechanics and its Applications, 2014, vol. 395, issue C, 293-302

Abstract: In this paper, we investigate cross-correlations between crude oil and agricultural commodity markets. Based on a popular statistical test proposed by Podobnik et al. (2009), we find that the linear return cross-correlations are significant at larger lag lengths and the volatility cross-correlations are highly significant at all of the lag lengths under consideration. Using a detrended cross-correlation analysis (DCCA), we find that the return cross-correlations are persistent for corn and soybean and anti-persistent for oat and soybean. The volatility cross-correlations are strongly persistent. Using a nonlinear cross-correlation measure, our results show that cross-correlations are relatively weak but they are significant for smaller time scales. For larger time scales, the cross-correlations are not significant. The reason may be that information transmission from crude oil market to agriculture markets can complete within a certain period of time. Finally, based on multifractal extension of DCCA, we find that the cross-correlations are multifractal and high oil prices partly contribute to food crisis during the period of 2006–mid-2008.

Keywords: Crude oil; Agricultural commodity; Cross-correlation; Detrended cross-correlation analysis (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (60)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:395:y:2014:i:c:p:293-302

DOI: 10.1016/j.physa.2013.10.021

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