The purposes of this paper were to explore the relationship between media coverage and stock returns in Taiwan stock markets. The empirical results were as follows: (1) stock returns showed causality with either media coverage amounts or the degrees of good/bad media coverage; (2) when impacted by the past stock returns, the stock return might fi nish its response to the impulse around three days and showed a negative effect, whereas when impacted by the past media coverage amounts, the media coverage amount might also fi nish its response to the impulse within three day and showed a negative effect; (3) when impacted by the degrees of the past good media coverage, the good media coverage degree might fi nish its response in three days and showed a negative effect, in which a positive effect might be presented on the fi rst two days, while the effect might turn negative on the third day. Given that, when impacted by the past stock returns, the stock return might fi nish its response to the impulse within three days and showed a negative effect and, when impacted by the degrees of the past good media coverage, the stock return might also fi nish its response in three days and showed a negative effect. That is, media coverage could be used as an indicator to predict stock returns in the Taiwan stock markets when making investment decisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.