Daily expectations of returns index
Vahid Gholampour
Journal of Empirical Finance, 2019, vol. 54, issue C, 236-252
Abstract:
The paper introduces a daily index for expectations of returns based on tweets that express a directional prediction about the stock market index. I develop a dictionary that includes lexicon of traders to identify and classify opinionated tweets. The results show that (1) the Twitter Expectations of Returns Index (TERI) is positively correlated with weekly changes in net long position of investment managers, (2) expectations index of high followers accounts predicts stock market returns, and (3) private information is the primary source of return predictability.
Keywords: Private information; Expectations of returns; Twitter; Stock market (search for similar items in EconPapers)
JEL-codes: G10 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927539819300854
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:empfin:v:54:y:2019:i:c:p:236-252
DOI: 10.1016/j.jempfin.2019.10.004
Access Statistics for this article
Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff
More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().