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Testing for monotonicity, linearity and symmetry between trading volume and price returns in the futures markets of agricultural commodities: a discussion on the financial implications

Author

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  • Dimitrios Panagiotou
  • Konstantinos Karamanis

Abstract

Purpose - The aim of this study is to investigate for monotonicity, linearity and symmetry for the price volatility–trading volume relationship in the futures markets of agricultural commodities. Design/methodology/approach - Empirical findings are produced with the use of a highly flexible, nonparametric approach. Data are daily prices and volumes from the commodities of corn, hard red wheat, oats, rice and soybeans. Findings - Results reveal violations of monotonicity locally but not globally. Volume and price volatility have, in all markets, a nonlinear relationship to each other, indicating that the strength of the relationship does not remain constant over the entire joint distribution. Global symmetry is rejected for the markets of oats and hard red wheat but cannot be rejected for the remaining three markets. The latter suggests that large values of good volatility are likely to occur together with high trading volumes, as do large values of bad volatility in these markets. Originality/value - To the best of the authors’ knowledge, this is the first empirical work to test simultaneously for monotonicity, linearity and symmetry between price volatility and trading volume in the futures markets of agricultural commodities.

Suggested Citation

  • Dimitrios Panagiotou & Konstantinos Karamanis, 2023. "Testing for monotonicity, linearity and symmetry between trading volume and price returns in the futures markets of agricultural commodities: a discussion on the financial implications," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(5), pages 996-1020, October.
  • Handle: RePEc:eme:sefpps:sef-03-2023-0138
    DOI: 10.1108/SEF-03-2023-0138
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    More about this item

    Keywords

    Symmetry; Linearity; Monotonicity; Agricultural futures; Price volatility; C13; Q11; Q13;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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