Price discovery in the price disagreement between equity and option markets: Evidence from SSE ETF50 options of China
Dehong Liu,
Qi Qiu,
J. Christopher Hughen and
Peter Lung
International Review of Economics & Finance, 2019, vol. 64, issue C, 557-571
Abstract:
We study the price discovery in price disagreement between the China ETF 50 index and option markets. The price disagreement is measured by upper and lower option boundary violations that are usually considered evidence of market inefficiency. We find that option boundary violations contain information about future returns and contribute to the price discovery process. Lower option boundary violations are more informative than upper boundary violations. Short-term at-the-money options contribute more to the price discover process than others. Pooling all the options together may introduce noise in the test of price discovery in the option market. These test results complement the mixed findings in literature regarding the price discovery in option markets.
Keywords: Price disagreement; Option market inefficiency; Price discovery process; Informed trading; Reversion to efficiency; Conditional information flow (search for similar items in EconPapers)
JEL-codes: C1 C3 C4 G1 G4 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S105905601930019X
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:reveco:v:64:y:2019:i:c:p:557-571
DOI: 10.1016/j.iref.2019.04.005
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().