Ding, Wenjie, Mazouz, Khelifa ORCID: https://orcid.org/0000-0001-6711-1715, ap Gwilym, Owain and Wang, Qingwei ORCID: https://orcid.org/0000-0002-3695-7846
2023.
Technical analysis as a sentiment barometer and the cross-section of stock returns.
Quantitative Finance
23
(11)
, pp. 1617-1636.
10.1080/14697688.2023.2244991
Item availability restricted. |
PDF
- Accepted Post-Print Version
Restricted to Repository staff only until 1 March 2025 due to copyright restrictions. Download (706kB) |
Official URL: https://doi.org/10.1080/14697688.2023.2244991
Abstract
This paper explores an unexamined sentiment channel through which technical analysis can add value. We use a spectrum of technical trading strategies to build a daily market sentiment indicator that is highly correlated with other commonly used sentiment measures. This technical-analysis-based sentiment indicator positively predicts near-term returns and is inversely related to long-term returns in the cross-section. Simple trading strategies based on this sentiment indicator yield substantial abnormal returns. These results are consistent with the explanation that lack of synchronization induces rational arbitrageurs to exploit the mispricing before it is corrected.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Publisher: | Taylor and Francis Group |
ISSN: | 1469-7688 |
Date of First Compliant Deposit: | 3 August 2023 |
Date of Acceptance: | 21 July 2023 |
Last Modified: | 12 Dec 2023 08:17 |
URI: | https://orca.cardiff.ac.uk/id/eprint/161200 |
Actions (repository staff only)
Edit Item |