Is there a volatility effect in the Hong Kong stock market?
Gilbert Nartea and
Ji Wu
Pacific-Basin Finance Journal, 2013, vol. 25, issue C, 119-135
Abstract:
Recent studies suggest an increasing trend in return idiosyncratic volatility and a ‘puzzling’ negative relationship between idiosyncratic and total volatility and stock returns. We investigate in an emerging market, the time-series behaviour of total and idiosyncratic volatility and their respective relationship with cross-sectional stock returns. First, we find that the time-series behaviour of both total and idiosyncratic volatility is episodic rather than exhibiting a long-term trend and that this episodic behaviour is driven by the level and variability of growth options. Second, we find very little support for an idiosyncratic volatility effect but we document a significantly negative total volatility effect. Our results are consistent with a market populated by investors with a preference for high total volatility stocks. Our study underscores the importance of country verification, especially in emerging markets, of anomalies initially discovered in mature markets.
Keywords: Idiosyncratic volatility; Total volatility; Asset pricing; Hong Kong stock market (search for similar items in EconPapers)
JEL-codes: G10 G11 G12 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927538X13000425
Full text for ScienceDirect subscribers only
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:eee:pacfin:v:25:y:2013:i:c:p:119-135
DOI: 10.1016/j.pacfin.2013.07.004
Access Statistics for this article
Pacific-Basin Finance Journal is currently edited by K. Chan and S. Ghon Rhee
More articles in Pacific-Basin Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().