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Purpose: Electric vehicles industry has gotten a rapid development in the world, especially in the developed countries … paper seeks to research the industrialization path & prospect of American EVs by forecasting electric vehicles demand and …
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Neural network, financial time series, approximation, forecasting. - Neuronale Netze, Finanzzeitreihen, Prognose …
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SEMIFAR models introduced in Beran (1999) provide a semiparametric modelling framework that enables the data analyst to separate deterministic and stochastic trends as well as short- and long-memory components in an observed time series. A correct distinction between these components, and in...
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forecasting. The author refines the adaptive combined model with B-criterion based on Brown's model with modification by Trigg and … Leach. Forecasting the values of the average time-charter equivalent of a tanker along 6 different routes of oil … transportation in the world ocean during the crisis period 2015-2019. The accuracy of the proposed method is superior to naive …
Persistent link: https://www.econbiz.de/10012656298
We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...
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