Internetowe predykcje notowań spółek giełdowych
Online predictions of joint stock companies
Author(s): Agnieszka Woch, Michał WójcikiewiczSubject(s): Media studies
Published by: Wydawnictwo Wydziału Dziennikarstwa, Informacji i Bibliologii Uniwersytetu Warszawskiego
Keywords: Big Data;stock market;joint stock companies;sentiments;new sources of information;finances
Summary/Abstract: Through the example of opportunities of prediction of share prices on basis of the analysis of sentiments related with joint stock companies companies, this paper indicates that Big Data is a valuable source of new information. The authors have analyzed relations between Big Data resources and share prices of selected companies: KGHM, Enea, Synthos and Tauron. They have further made an interpretation and classification of the posts written by internet users. The analysis is being completed by research on sentiments (positive, negative and neutral) to share prices in the period of January and March 2015.
Journal: Studia Medioznawcze
- Issue Year: 72/2018
- Issue No: 1
- Page Range: 57-66
- Page Count: 10
- Language: Polish