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Using wavelets for time series forecasting: Does it pay off?

Schlüter, Stephan; Deuschle, Carola - 2010

By means of wavelet transform a time series can be decomposed into a time dependent sum of frequency components. As a result we are able to capture seasonalities with time-varying period and intensity, which nourishes the belief that incorporating the wavelet transform in existing forecasting...

Persistent link: https://www.econbiz.de/10010300727

Carbon price analysis using empirical mode decomposition

Zhu, Bangzhu; Wang, Ping; Chevallier, Julien; Wei, Yi-Ming - In: Computational economics 45 (2015) 2, pp. 195-206

Persistent link: https://www.econbiz.de/10011325724

A novel BEMD-based method for forecasting tourist volume with search engine data

Tang, Ling; Zhang, Chengyuan; Li, Tingfei; Li, Ling - In: Tourism economics : the business and finance of tourism … 27 (2021) 5, pp. 1015-1038

Persistent link: https://www.econbiz.de/10012625880

Coal overcapacity in China : multiscale analysis and prediction

Wang, Delu; Wang, Yadong; Song, Xuefeng; Liu, Yun - In: Energy economics 70 (2018), pp. 244-257

Persistent link: https://www.econbiz.de/10011942717

Crude oil risk forecasting : new evidence from multiscale analysis approach

He, Kaijian; Tso, Kwok Fai Geoffrey; Zou, Yingchao; Liu, Jia - In: Energy economics 76 (2018), pp. 574-583

Persistent link: https://www.econbiz.de/10011976731