Equity returns and sentiment
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.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Equity returns and sentiment ; volume:10 ; number:1 ; year:2022 ; pages:159-176 ; extent:18
Dependence modeling ; 10, Heft 1 (2022), 159-176 (gesamt 18)
- Creator
-
Huang, Zibin
Ibragimov, Rustam
- DOI
-
10.1515/demo-2022-0109
- URN
-
urn:nbn:de:101:1-2022072714105926574751
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Huang, Zibin
- Ibragimov, Rustam