Forecasting Volatility with Price Limit Hits—Evidence from Chinese Stock Market
Xiaojun Chu and
Jianying Qiu
Emerging Markets Finance and Trade, 2019, vol. 55, issue 5, 1034-1050
Abstract:
In this article, we discuss whether price limit hits (PLH) contain information for volatility forecasting. Using Chinese stock market as sample, we find that PLH display significant forecasting power for future volatilities. Furthermore, the predictive effects on volatility are asymmetric between upper price limit hits (UPLH) and lower price limit hits (LPLH), with more pronounced effect for LPLH. These results are robust after controlling for jump, leverage effect, and volume in HAR-RV models, and they hold in crisis sub-sample and other measures of PLH. Finally, we provide a possible explanation for the predictive ability of PLH and suggest that the number of PLH can be used as a proxy for investor sentiment.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2018.1532888 (text/html)
Access to full text is restricted to subscribers.
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:mes:emfitr:v:55:y:2019:i:5:p:1034-1050
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
DOI: 10.1080/1540496X.2018.1532888
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().