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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...
,
ID
Lončarski, Igor
(
Member of the commission for defense
),
ID
Kokol-Bukovšek, Damjana
(
Member of the commission for defense
)
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(1,66 MB)
MD5: AA2774AE58686425785F94DE6D98257D
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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
UDC:
336.76
COBISS.SI-ID:
257182979
Publication date in RUL:
23.12.2025
Views:
44
Downloads:
5
Metadata:
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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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