2022
DOI: 10.1108/jrf-04-2021-0063
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Directional predictability between trading volume and price returns in the agricultural futures markets: risk implications for traders

Abstract: PurposeThe cross-quantilogram analysis is employed. The latter can assess the temporal association between two stationary time series at different parts of their joint distribution. Data are daily prices and trading volumes from the futures markets of five agricultural commodities, namely, corn, hard red wheat, oats, rice and soybeans.Design/methodology/approachThe objective to the present work is to investigate for directional predictability between returns and volume (and vice versa) in the futures markets o… Show more

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Cited by 8 publications
(12 citation statements)
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“…When it comes to turbulence period, the vulnerability of stock markets to external shocks is a concern for policymakers, investors and asset managers, who are looking different ways to minimize the risk thereof Panagiotou and Tseriki (2022). Several studies deal with spillover effects and show mixed empirical results depending on the context.…”
Section: Literature Reviewmentioning
confidence: 99%
“…When it comes to turbulence period, the vulnerability of stock markets to external shocks is a concern for policymakers, investors and asset managers, who are looking different ways to minimize the risk thereof Panagiotou and Tseriki (2022). Several studies deal with spillover effects and show mixed empirical results depending on the context.…”
Section: Literature Reviewmentioning
confidence: 99%
“…More than any other category of commodities, agricultural futures play the most vital role in our everyday life. Understanding and explaining the pattern and the intensity of the relationship between price returns and trading volume provides valuable information about the structure of agricultural futures markets, the level of speculation activity, and its implications for the market stability of the agricultural markets (Panagiotou and Tseriki, 2022). According to Wang and Chen (2016), when a futures price drops, investors with long positions might suffer a loss when trading activity increases.…”
Section: Introductionmentioning
confidence: 99%
“…Because of the abovementioned two points, it is ideal for capturing the true underlying relationship (monotonic/ non-monotonic, linear/nonlinear, symmetric/asymmetric) locally, that is, at any single point of the joint distribution. Panagiotou and Tseriki (2022) tested for directional predictability between price returns and trading volume for the commodities of corn, hard red wheat, oats, rice and soybeans. According to their results, the directional causality from prices to volume is stronger than the opposite direction.…”
Section: Introductionmentioning
confidence: 99%
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“…They find evidence of a lagged impact of oil prices on firm returns that depend on sectoral location and firm size. Panagiotou and Tseriki (2022) focus on the directional predictability between daily prices and trading volumes of five agricultural commodities (corn, hard red wheat, oats, rice and soybeans). Their results suggest that the link between commodity prices and trading volumes is not the same for all the commodities.…”
Section: Introductionmentioning
confidence: 99%