Publication date: Available online 15 October 2019
Source: Journal of Empirical Finance
Author(s): Vahid Gholampour
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.