Structural changes in contagion channels: the impact of COVID-19 on the Italian electricity market.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 1035, doi. 10.1007/s10479-024-05893-x
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- Article
Works matching IS 02545330 AND DT 2025 AND VI 345 AND IP 2
Results: 29
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Machine learning technologies on energy economics and finance in times of crisis.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 569, doi. 10.1007/s10479-024-06455-x
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- Article
3
Forecasting crude oil prices with alternative data and a deep learning approach.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1165, doi. 10.1007/s10479-024-06056-8
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4
The role of news-based sentiment in forecasting crude oil price during the Covid-19 pandemic.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 861, doi. 10.1007/s10479-024-05821-z
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- Article
5
How does environmental regulation impact low-carbon transition? Evidence from China's iron and steel industry.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 637, doi. 10.1007/s10479-023-05480-6
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- Article
6
Uncertainty and fluctuation in crude oil price: evidence from machine learning models.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 725, doi. 10.1007/s10479-023-05463-7
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- Article
7
Forecasting oil price in times of crisis: a new evidence from machine learning versus deep learning models.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 979, doi. 10.1007/s10479-023-05400-8
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- Article
8
Carbon trading and COVID-19: a hybrid machine learning approach for international carbon price forecasting.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1267, doi. 10.1007/s10479-023-05327-0
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- Article
9
The role of cryptocurrencies in predicting oil prices pre and during COVID-19 pandemic using machine learning.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 909, doi. 10.1007/s10479-022-05024-4
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- Article
10
Forecasting oil commodity spot price in a data-rich environment: Forecasting oil commodity spot price in a data-rich environment: S. Boubaker et al.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 685, doi. 10.1007/s10479-022-05004-8
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- Article
11
Early warning system to predict energy prices: the role of artificial intelligence and machine learning.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1297, doi. 10.1007/s10479-022-04908-9
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- Article
12
Modelling systemic risk of energy and non-energy commodity markets during the COVID-19 pandemic.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1193, doi. 10.1007/s10479-022-04879-x
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- Article
13
Do commodity assets hedge uncertainties? What we learn from the recent turbulence period?
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1387, doi. 10.1007/s10479-022-04876-0
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- Article
14
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1229, doi. 10.1007/s10479-022-04858-2
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- Article
15
The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1105, doi. 10.1007/s10479-022-04824-y
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- Article
16
Carbon trading price prediction based on a two-stage heterogeneous ensemble method.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 953, doi. 10.1007/s10479-022-04821-1
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17
A new machine learning algorithm to explore the CO<sub>2</sub> emissions-energy use-economic growth trilemma.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 665, doi. 10.1007/s10479-022-04787-0
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- Article
18
Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 1003, doi. 10.1007/s10479-022-04781-6
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- Article
19
High-dimensional nonlinear dependence and risk spillovers analysis between China's carbon market and its major influence factors.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 831, doi. 10.1007/s10479-022-04770-9
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20
Deep Learning-Based Model for Financial Distress Prediction.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 885, doi. 10.1007/s10479-022-04766-5
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- Article
21
COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 575, doi. 10.1007/s10479-022-04744-x
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- Publication type:
- Article
22
BACS: blockchain and AutoML-based technology for efficient credit scoring classification.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 703, doi. 10.1007/s10479-022-04531-8
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- Article
23
Testing the moderating role of trade openness on the environmental Kuznets curve hypothesis: a novel approach.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 597, doi. 10.1007/s10479-021-04501-6
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- Article
24
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 757, doi. 10.1007/s10479-021-04492-4
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25
Dynamic nonlinear connectedness between the green bonds, clean energy, and stock price: the impact of the COVID-19 pandemic.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 1137, doi. 10.1007/s10479-021-04452-y
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26
Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine.
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- Annals of Operations Research, 2025, v. 345, n. 2, p. 809, doi. 10.1007/s10479-021-04392-7
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27
An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 779, doi. 10.1007/s10479-021-04366-9
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28
Deep learning-based exchange rate prediction during the COVID-19 pandemic.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 1335, doi. 10.1007/s10479-021-04420-6
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29
Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research.
- Published in:
- Annals of Operations Research, 2025, v. 345, n. 2, p. 1061, doi. 10.1007/s10479-021-04410-8
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- Article