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Equity returns and sentiment

Authors :
Huang Zibin
Ibragimov Rustam
Source :
Dependence Modeling, Vol 10, Iss 1, Pp 159-176 (2022)
Publication Year :
2022
Publisher :
De Gruyter, 2022.

Abstract

This paper analyzes approximately 100 Gigabytes of raw text data from Twitter with keywords “AAPL,” “S&P 500,” “FTSE100” and “NASDAQ” to explore the relationship between sentiment and the returns and prices on the Apple stock and the S&P 500, FTSE 100 and NASDAQ indices. The findings point to significant relationship and dependence between sentiment measures and the S&P 500 and FTSE 100 indices’ returns and prices. The econometric analysis of dependence between the aforementioned variables in the paper is presented in some detail for illustration of the methodology employed.

Details

Language :
English
ISSN :
23002298
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Dependence Modeling
Publication Type :
Academic Journal
Accession number :
edsdoj.21086ec896cf42529ffb2ad6127870cf
Document Type :
article
Full Text :
https://doi.org/10.1515/demo-2022-0109