Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors

Alya Al-Nasseri, Faek Menla Ali and Allan Tucker

International Review of Financial Analysis, 2021, vol. 78, issue C

Abstract: This paper extracts an investor sentiment indicator for the 30 DJIA stocks based on the textual classification of 289,024 online tweets posted on the so-called StockTwits, and examines its contemporaneous and predictability effects on the dispersion of stock returns using the quantile regression technique. We find that both contemporaneous and predictability effects of sentiment are heterogeneous throughout the return distribution. Specifically, sentiment is positively contemporaneously associated with stock returns at higher quantiles. However, it is a strong negative predictor of future returns at lower quantiles. Overall, our findings are broadly consistent with most behavioural theories and show that sentiment mainly affects the valuation of assets in extreme market conditions.

Keywords: Investor sentiment; StockTwits; Stock returns; Quantile regression (search for similar items in EconPapers)
JEL-codes: C21 G02 G14 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:78:y:2021:i:c:s1057521921002362

DOI: 10.1016/j.irfa.2021.101910

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