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The usability of Google trends data in equity index volatility prediction : a comparison of the selected European languages
ID
Järnberg, Niko
(
Author
),
ID
Lončarski, Igor
(
Mentor
)
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URL - Presentation file, Visit
http://www.cek.ef.uni-lj.si/magister/jarnberg5029-B.pdf
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Language:
English
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
EF - School of Economics and Business
Place of publishing:
Ljubljana
Publisher:
[N. J. K. Järnberg]
Year:
2023
Number of pages:
VI, 50, 16 str.
PID:
20.500.12556/RUL-147802
UDC:
004.6
COBISS.SI-ID:
156549891
Publication date in RUL:
13.07.2023
Views:
557
Downloads:
45
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Secondary language
Language:
Slovenian
Title:
Uporabnost podatkov Googlovih trendov pri napovedovanju volatilnosti delniškega indeksa – primerjava izbranih evropskih jezikov
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