master's thesis
Cheng Yao (Author), Igor Masten (Mentor)

Abstract

An empirical investigation of forecasting stock market volatility with support vector machines

Keywords

capital market;shares;stock exchange;trading;economic forecasting;evaluation;models;vector analysis;computer application;

Data

Language: English
Year of publishing:
Source: Ljubljana
Typology: 2.09 - Master's Thesis
Organization: UL EF - Faculty of Economics
Publisher: [C. Yao]
UDC: 336.76
COBISS: 29714435 Link will open in a new window
Views: 269
Downloads: 36
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary title: Empirična raziskava napovedovanja nestanovitnosti delniških trgov s podpornimi vektorskimi napravami
Secondary keywords: trg kapitala;delnice;borze;trgovanje;ekonomska predvidevanja;ocene;modeli;vektorska analiza;uporaba računalnikov;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. Ljubljana, Ekonomska fak.
Pages: III, 52, 2 str.
ID: 12255665