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Leveraging machine learning to forecast carbon returns: Factors from energy markets · Study

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ArticleLeveraging machine learning to forecast carbon returns: Factors from energy markets

Yingying Xu2023

Article2023

Leveraging machine learning to forecast carbon returns: Factors from energy markets

Yingying Xu · Yifan Dai · Lingling Guo · Jingjing Chen

33 citations·0/0 files stored·Applied Energy

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Stock Market Forecasting Methods Financial Risk and Volatility Modeling Market Dynamics and Volatility

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References

1986Generalized autoregressive conditional heteroskedasticity 2018Investigation of environmental Kuznets curve for ecological footprint: The role of energy and financial development 2001Pollution and Capital Markets in Developing Countries 2020COVID-19 and stock market volatility: An industry level analysis 2018Predicting the direction of stock market prices using tree-based classifiers 2013Forecasting carbon futures volatility using GARCH models with energy volatilities 2008An econometric analysis of emission allowance prices 2016Testing the moderating role of financial development in an environmental Kuznets curve: Empirical evidence from Turkey

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Details

Year2023

Typearticle

Published2023-12-27

VenueApplied Energy

ISSN-L0306-2619

Languageen

Citations33

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.apenergy.2023.122515

openalex_workW4390292001

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