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Theophilos Papadimitriou, Periklis Gogas and Athanasios Fotios Athanasiou
This study aims to forecast extreme fluctuations of Bitcoin returns. Bitcoin is the first decentralized and the largest, in terms of capitalization, cryptocurrency. A well-timed and precise forecast of extreme changes in Bitcoin returns is key to market ...
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Emmanuel Senyo Fianu
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen...
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Dan Xue, Xiaojing Zhao, Jianjun Dong, Rui Ren, Yuanxian Xu and Zhilong Chen
The surging demand for logistics systems brought about by the vigorous development of e-commerce makes urban traffic more and more congested. The need for a sustainable transition in terms of urban transportation infrastructure also encourages the furthe...
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Kyeong-Baek Kim, Ji-Hoon Cho and Sang-Bum Kim
According to the previous research, proper demand forecasting could help construction-related firms in effective planning for future market changes. However, existing market demand forecasting models are somewhat limited, and most of them bear some criti...
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Nashwan Dawood
Load forecasting plays a major role in determining the prices of the energy supplied to end customers. An accurate prediction is vital for the energy companies, especially when it comes to the baseline calculations that are used to predict the energy loa...
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Monira Essa Aloud
Pág. 87 - 95
An event-based framework of directional changes and overshoots maps financial market price time series into the so-called Intrinsic Time where events are the time scale of the price time series. This allows for multi-scale analysis of financial data. &nb...
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