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An empirical investigation of forecasting stock market volatility with support vector machines : master's thesis
ID Yao, Cheng (Author), ID Masten, Igor (Mentor) More about this mentor... This link opens in a new window

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/yao3925-B.pdf This link opens in a new window

Language:English
Keywords:capital market, shares, stock exchange, trading, economic forecasting, evaluation, models, vector analysis, computer application
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[C. Yao]
Year:2020
Number of pages:III, 52, 2 str.
PID:20.500.12556/RUL-122884 This link opens in a new window
UDC:336.76
COBISS.SI-ID:29714435 This link opens in a new window
Publication date in RUL:15.12.2020
Views:1021
Downloads:77
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Secondary language

Language:Slovenian
Title:Empirična raziskava napovedovanja nestanovitnosti delniških trgov s podpornimi vektorskimi napravami
Keywords:trg kapitala, delnice, borze, trgovanje, ekonomska predvidevanja, ocene, modeli, vektorska analiza, uporaba računalnikov

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