Equity returns and sentiment

Huang Zibin () and Ibragimov Rustam ()
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Huang Zibin: Imperial College Business School, London, United Kingdom
Ibragimov Rustam: Imperial College Business School, London, United Kingdom

Dependence Modeling, 2022, vol. 10, issue 1, 159-176

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.

Keywords: sentiment; asset prices; asset returns; dependence; Granger causality; predictive regressions; autoregressive distributed lag models; GARCH models; volatility (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:demode:v:10:y:2022:i:1:p:159-176:n:1

DOI: 10.1515/demo-2022-0109

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