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Quantile coherency of futures prices in palm and soybean oil markets

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  • Panos Fousekis

    (Aristotle University)

Abstract

The objective of the present work is to investigate the contemporaneous price co-movement in the futures markets of soybean and palm oil. This is pursued using quantile coherency (a statistical tool that allows for both frequency- and quantile-dependent linkages between stochastic processes) and daily futures prices from 2015 to 2023. The empirical findings suggest: (a) The co-movement between palm and soybean oil prices is not very high and, at the same time, it is asymmetric; prices in the two markets are more likely to crash than to boom together. (b) The intensity of co-movement tends to increase monotonically with the time-scale considered. However, the bulk of the adjustments to shocks tend to be completed within 1 month; the differences between coherency estimates in the medium- and in the long-run are rather small. (c) Price co-movement appears to be driven by both pure (short-run) contagion as well as by fundamental-based (long-run) contagion.

Suggested Citation

  • Panos Fousekis, 2024. "Quantile coherency of futures prices in palm and soybean oil markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(1), pages 129-141, March.
  • Handle: RePEc:spr:jecfin:v:48:y:2024:i:1:d:10.1007_s12197-023-09647-6
    DOI: 10.1007/s12197-023-09647-6
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    More about this item

    Keywords

    Price co-movement; Quantile-dependent; Frequency-dependent; Palm and soybean oil; Asymmetry;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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