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- CSÁPAI, Ádám. Macroeconomic Forecasting Using Machine Learning: a Case of Slovakia. In International Conference on Economics, Finance and Business. Proceedings of the International Conference on Economics, Finance and Business, Prague : 11 - 13 September 2023. - Prague : IISES, 2023. ISBN 978-80-7668-009-8. ISSN 2336-6044, pp. 66-79. VEGA 1/0047/23.
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- PINCHEIRA-BROWN, Pablo et al. Forecasting Base Metal Prices With an International Stock Index. In Finance a úvěr : Czech Journal of Economics and Finance. - Praha : UK Praha, Fakulta sociálních věd, 2023. ISSN 2464-7683, 2023, vol. 73, no. 3, pp. 277-302.
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- HUANG, Hung-Hsi - LIN, Yi-Ru. Forecasting VIX with Stock and Oil Prices. In Finance a úvěr : Czech Journal of Economics and Finance. - Praha : UK Praha, Fakulta sociálních věd, 2023. ISSN 2464-7683, 2023, vol. 73, no. 1, pp. 24-55.
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- PLASTUN, Alex et al. Forecasting the Net Investment Position Based on Conventional and ESG Stock Market Indices: The Case of Ukraine and Austria. - Registrovaný: Scopus. In Investment Management and Financial Innovations. - Sumy : LLC "Consulting Publishing Company "Business Perspectives", 2022. ISSN 1810-4967, 2022, vol. 19, no. 3, s. 60-71. 0122U002659.
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- JOSEPH, Manu. Modern Time Series Forecasting with Python : Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning. 1st Edition. Birmingham : Packt Publishing, 2022. 525 s. ISBN 978-1-80324-680-2. [Copy count : 1, currently available 0, at library only 0]
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- CSÁPAI, Ádám - KALAFUTOVÁ, Anna. Economic Forecasting Using Artificial Intelligence. In MMK 2022. Mezinárodní vědecká konference. MMK 2022 : mezinárodní Masarykova konference pro doktorandy a mladé vědecké pracovníky. - Hradec Králové : MAGNANIMITAS, 2022. ISBN 978-80-87952-37-5, pp. 168-173. I-22-110-00.
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- CSÁPAI, Ádám - KALAFUTOVÁ, Anna. Economic Forecasting Using Artificial Intelligence. In Grant Journal : vědecký časopis. - Hradec Králové : MAGNANIMITAS, 2022. ISSN 1805-0638, 2022, roč. 11, č. 2, s. 14-17.
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- LYÓCSA, Štefan - MOLNÁR, Peter - VÝROST, Tomáš. Stock Market Volatility Forecasting: Do We Need High-Frequency Data? - Registrovaný: Scopus. In International Journal of Forecasting. - Amsterdam : ELSEVIER. ISSN 0169-2070, 2021, vol. 37, no. 3, pp. 1092-1110 online. GACR 18-05829S.
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- POGHOSYAN, Karen - POGHOSYAN, Ruben. On the Applicability of Dynamic Factor Models for Forecasting Real GDP Growth in Armenia. In Finance a úvěr : Czech Journal of Economics and Finance. - Praha : UK Praha, Fakulta sociálních věd, 2021. ISSN 2464-7683, 2021, vol. 71, no. 1, s. 52-79.
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- KÚTIKOVÁ, Jana. Slovak Population Mortality Modelling and Forecasting Using Cairns-Blake-Dowd Model. In DOKBAT 2021. Annual International Bata Conference for Ph.D. Students and Young Researchers. DOKBAT 2021 : 17th Annual International Bata Conference for Ph.D. Students and Young Researchers. - Zlín : Tomas Bata University in Zlín, Faculty of Management and Economics, 2021. ISBN 978-80-7678-025-5, pp. 272-284 online. VEGA 1/0166/20.
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