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Volatility forecasting with long short-term memory neural networks: A deep learning approach for financial markets : master's thesis
ID Oršoš, Blaž (Author), ID Marinč, Matej (Mentor) More about this mentor... This link opens in a new window, ID Lončarski, Igor (Member of the commission for defense), ID Kokol-Bukovšek, Damjana (Member of the commission for defense)

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Language:English
Keywords:capital market, options, trading, models, information technology, neural networks, yield, risk
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:B. Oršoš
Year:2025
Number of pages:1 spletni vir (1 datoteka PDF (IV, 51, 8 str.)
PID:20.500.12556/RUL-177463 This link opens in a new window
UDC:336.76
COBISS.SI-ID:257182979 This link opens in a new window
Publication date in RUL:23.12.2025
Views:44
Downloads:5
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Secondary language

Language:Slovenian
Title:Napovedovanje volatilnosti z nevronsko mrežo z dolgim kratkoročnim spominom: pristop globokega učenja na finančnih trgih
Keywords:trg kapitala, opcije, trgovanje, modeli, informacijska tehnologija, nevronske mreže, donos, tveganje

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