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Statistics report
Dec. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 140
Paper Published : 1764
No. of Authors : 4906
  Journal Paper


Paper Title :
Wavelet Coherency to Characterize The Cyclical Nature of The Semiconductor Industry

Author :Iftikhar Sikder

Article Citation :Iftikhar Sikder , (2023 ) " Wavelet Coherency to Characterize The Cyclical Nature of The Semiconductor Industry " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 1-4, Volume-11,Issue-5

Abstract : The characterization of the cyclical nature of semiconductor industry is a complex endeavor because of the presence of many interacting transient dynamics inherent in the industry’s ecosystem. In this paper we present a methodology that addresses some of the issues, particularly the non-stationarity of the time series associated with the semiconductor industry. We use singular spectrum analysis to de-noise data before identifying the dominant pattern of the semiconductor stock market using singular value decomposition. By using continuous wavelet transformation and crosswavelet coherence relation, the nexus between the dominant pattern of the stock market and the industrial production index of semiconductor is established. Using a bootstrap resampling method, statistically significant frequencies that characterize the cyclical nature of the semiconductor industry are identified. Keywords - Wavelet analysis, Wavelet coherence, Semiconductor Industry, Singular Spectrum Analysis

Type : Research paper

Published : Volume-11,Issue-5


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