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- Title
Potato price analysis of Delhi market through ensemble empirical mode decomposition.
- Authors
Choudhary, Kapil; Jha, Girish Kumar; Kumar, Rajeev Ranjan
- Abstract
Agricultural commodities prices depends on production, unnecessary demand, production uncertainty, market flaws etc. Due to these factors agricultural price series are non-stationary and non-linear in nature. Therefore analyzing agricultural commodities prices is considered as a challenging task. The traditional stationary approach of time series is unable to capture nonstationary and non-linear properties of agricultural price series. Non-stationary and non-linear properties present in the price series may be accurately analyzed through empirical mode decongation (EMD). In this technique, the original time series decomposed into intrinsic mode functions and residue. One of the major limitation of EMD is the presence of the mode mixing. To overcome this limitation of the EMD, we use ensemble empirical mode decomposition (EEMD). Using this technique in this study, Delhi market potato prices have been analyzed.
- Subjects
HILBERT-Huang transform; FARM produce; MARKETING research; TIME series analysis; MARKET prices; AGRICULTURAL prices
- Publication
Quarterly Research Journal of Plant & Animal Sciences / Bhartiya Krishi Anusandhan Patrika, 2019, Vol 34, Issue 1, p33
- ISSN
0303-3821
- Publication type
Article
- DOI
10.18805/BKAP147