2
H index
0
i10 index
15
Citations
Bureau d'Économie Théorique et Appliquée (BETA) | 2 H index 0 i10 index 15 Citations RESEARCH PRODUCTION: 5 Articles 1 Papers RESEARCH ACTIVITY: 5 years (2019 - 2024). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pso695 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Emmanouil Sofianos. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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Energies | 2 |
Year | Title of citing document |
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2024 | Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Umar, Muhammad ; Naqvi, Bushra ; Abbas, Syed Kumail. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704. Full description at Econpapers || Download paper |
2024 | How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms. (2024). Zhan, Minghua ; Tian, Yuan ; Zhao, Zhihui ; Lu, Yao. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763. Full description at Econpapers || Download paper |
2023 | A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices. (2023). Lee, Eul-Bum ; Choi, So-Won ; Yang, Sun-Feel. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:11:p:4271-:d:1153694. Full description at Econpapers || Download paper |
2023 | A Novel Model for Spot Price Forecast of Natural Gas Based on Temporal Convolutional Network. (2023). Wang, Mingyue ; Shen, Yamin ; Huang, Chiou-Jye ; Pei, Yadong. In: Energies. RePEc:gam:jeners:v:16:y:2023:i:5:p:2321-:d:1083454. Full description at Econpapers || Download paper |
2023 | Forecasting the Stability and Growth Pact compliance using Machine Learning. (2023). Papadimitriou, Theophilos ; Barbier-Gauchard, Amelie ; Baret, Kea. In: Post-Print. RePEc:hal:journl:hal-03121966. Full description at Econpapers || Download paper |
2024 | Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy. (2024). Shami, Labib ; Lazebnik, Teddy. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4. Full description at Econpapers || Download paper |
2023 | Unemployment rate forecasting: LSTM-GRU hybrid approach. (2023). Yurtsever, Mustafa. In: Journal for Labour Market Research. RePEc:spr:jlabrs:v:57:y:2023:i:1:d:10.1186_s12651-023-00345-8. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2021 | Forecasting Natural Gas Spot Prices with Machine Learning In: Energies. [Full Text][Citation analysis] | article | 4 |
2024 | Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms In: Energies. [Full Text][Citation analysis] | article | 0 |
2023 | Cryptocurrencies and Long-Range Trends In: IJFS. [Full Text][Citation analysis] | article | 0 |
2019 | Money Neutrality, Monetary Aggregates and Machine Learning In: DUTH Research Papers in Economics. [Full Text][Citation analysis] | paper | 1 |
2022 | Mind the gap: forecasting euro-area output gaps with machine learning In: Applied Economics Letters. [Full Text][Citation analysis] | article | 1 |
2022 | Forecasting unemployment in the euro area with machine learning In: Journal of Forecasting. [Full Text][Citation analysis] | article | 9 |
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