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Maximal Overlap Discrete Wavelet Transform-Based Trend Analysis of Jute Prices in Malda District of West Bengal

Chowa Ram Sahu et al.

Agricultural Economics Research Review2025https://doi.org/10.1177/09713441251389665article
ABDC C
Weight
0.50

What the paper says

This study co-utilizes non-parametric methods—the maximal overlap discrete wavelet transform (MODWT), Mann–Kendall (MK) test and the Sequential Mann–Kendall (SQMK) test—to analyse and detect trends in the weekly jute prices between 2009 and 2022 in the Samsi and Gajol markets of Malda district of West Bengal, India. The MODWT has been used to break down an original time series into rapidly and slowly changing components using the Daubechies wavelet filter. The SQMK analysis reveals that a significantly increasing trend started during the 23rd week at Samsi and during the 43rd week at Gajol. The trend analysis based on MODWT in conjunction with MK and SQMK methods revealed that 32-week periodic and 64-week periodic components are responsible for producing a real trend found in the data series. JEL Classification: Q13, Q18

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https://doi.org/https://doi.org/10.1177/09713441251389665

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@article{chowa2025,
  title        = {{Maximal Overlap Discrete Wavelet Transform-Based Trend Analysis of Jute Prices in Malda District of West Bengal}},
  author       = {Chowa Ram Sahu et al.},
  journal      = {Agricultural Economics Research Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/09713441251389665},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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