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- ŠTEFÁNIK, Miroslav - LYÓCSA, Štefan - BILKA, Matúš. Using Online Job Postings to Predict Key Labour Market Indicators. - Registrovaný: Scopus, Registrovaný: Web of Science. In Social Science Computer Review. - Thousand Oaks : SAGE Publications. ISSN 1552-8286, 2023, vol. 41, no. 5, pp. 1630-1649.
File name Size Typ prístupu PDF zabezpečené 642.6 KB dostupné po prihlásení - LYÓCSA, Štefan - BAUMÖHL, Eduard - VÝROST, Tomáš. YOLO Trading: Riding with the Herd during the GameStop Episode. - Registrovaný: Scopus. In Finance Research Letters. - New York : Elsevier. ISSN 1544-6123, 2022, vol. 46, pp. 1-9 online. (2022 - Current Contents). No. 20-11769S.
File name Size Typ prístupu Plný text PDF 1.5 MB z IP adresy SEK po prihlásení - KOŠŤÁLOVÁ, Zuzana et al. New Credit Drivers: Results from a Small Open Economy. In Eastern European Economics. - London : Taylor & Francis. ISSN 0012-8775, 2022, vol. 60, no. 1, pp. 1-34 online. (2022 - Current Contents). APVV-18-0335, VEGA 1/0607/21.
File name Size Typ prístupu Plný text PDF 6.1 MB z IP adresy SEK po prihlásení - LYÓCSA, Štefan et al. Default or Profit Scoring Credit Systems? Evidence from European and US Peer-to-peer Lending Marketsň. - Registrovaný: Scopus. In Financial Innovation. - New York : Springer. ISSN 2199-4730, 2022, vol. 8, no. 32, pp. 1-21 online. (2022 - Current Contents). VEGA 1/0497/21.
File name Size Typ prístupu Plný text PDF 2.1 MB verejne dostupné - DEEV, Oleg - LYÓCSA, Štefan - VÝROST, Tomáš. The Looming Crisis in the Chinese Stock Market? Left-Tail Exposure Analysis of Chinese Stocks to Evergrande. - Registrovaný: Scopus. In Finance Research Letters. - New York : Elsevier. ISSN 1544-6123, 2022, vol. 49, pp. [1-11]. (2022 - Current Contents). GA20-11769S.
- LYÓCSA, Štefan - TODOROVA, Neda - VÝROST, Tomáš. Predicting Risk in Energy Markets: Low-frequency Data still Matter. - Registrovaný: Scopus. In Applied Energy. - Amsterdam : Elsevier Science Publishers B.V. ISSN 0306-2619, 2021, no. 282, pp. [1-17] online.
- LYÓCSA, Štefan - PLÍHAL, Tomáš - VÝROST, Tomáš. FX Market Volatility Modelling: Can We Use Low-Frequency Data? - Registrovaný: Scopus. In Finance Research Letters. - New York : Elsevier. ISSN 1544-6123, 2021, vol. 40, pp. [1-16] online. (GACR) 18-05829S.
File name Size Typ prístupu Plný text PDF 4.3 MB verejne dostupné - LYÓCSA, Štefan - VÝROST, Tomáš - PLÍHAL, Tomáš. A Tale of Tails: New Evidence on the Growth-Return Nexus. - Registrovaný: Scopus. In Finance Research Letters. - New York : Elsevier. ISSN 1544-6123, 2021, vol. 38, pp. [1-12] online.
- LYÓCSA, Štefan - BAUMÖHL, Eduard - VÝROST, Tomáš. YOLO Trading: Riding With the Herd During the GameStop Episode. In EconStor. - Kiel, Hamburg : ZBW - Leibniz Information Centre for Economics, 2021, pp. 1-17 online. Czech Science Foundation 20-11769S.
File name Size Typ prístupu Plný text PDF 4.8 MB verejne dostupné - 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.
File name Size Typ prístupu PDF zabezpečené 3.2 MB dostupné po prihlásení