| February 26, 2013
As part of this paper, we move beyond the simple notion of "buy on positive and sell on negative sentiment"
Instead try to understand the interaction effects between sentiment and various forms of media or investor attention. To understand how investors react to sentiment, we conduct a double sort analysis - ranking on sentiment in one dimension and on media coverage, sentiment momentum, return volatility, and price momentum in the other.
We find that conditioning news sentiment impact with attention yields higher returns.
The emergence of news analytics has been valuable to both academics and financial practitioners in understanding the impact of news and public information on asset pricing. By now, research has led to a set of stylized facts that go beyond describing news flow characteristics. For instance, Chan [Mar, 2001] found that negative news leads to stronger price reactions than positive news - a result further supported by Cahan et.al. [May, 2009]. In the paper "Stock Price Reaction to News and No-News: Drift and Reversal after Headlines" [Mar, 2009], Chan found that negative news tends to be reflected more slowly in stock prices than positive news. In Hafez and Xie [May, 2012], we found that positive and negative events on average decay over a two and five day horizon, respectively. Several studies have also shown that price reactions to news are not only stronger for small cap than for large cap stocks, but that news based signals also decay more slowly as one moves down the size scale.
Even though the body of research continues to grow, there is still a lot to learn about how investors react to news and sentiment over time. Do investors react differently during bull or bear markets? Or when investing on different sectors or according to various company characteristics? The objective of this paper is to move beyond the simple notion of “buy on positive and sell on negative sentiment” and instead try to understand the interaction effects between sentiment and various forms of media or investor attention. To understand how investors react to sentiment, we conduct a double sort analysis - ranking on sentiment in one dimension and on various forms of attention in the other including media coverage, sentiment momentum, return volatility, and price momentum.
In the following section, we provide a brief description of our test stock universe and the data used in the study. In Section 3, we present a new methodology to calculate the company sentiment indicator tested here. In Section 4, we consider the value add of including sentiment decay as part of our indicator methodology. In Section 5, we look at the interactions effects between sentiment and attention; and evaluate its effects on various industries in Section 6. Finally, in Section 7 we present our conclusions.
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We consider incorporating sentiment signals from news, earnings call transcripts, and insider transactions to
boost the risk-adjusted returns, and revive factor performance.
We find stronger, more predictable market reactions when the words of company executives agree with their actions.
We have gathered 12 insights from 2021 research that can be leveraged in 2022.