EconPapers    
Economics at your fingertips  
 

The pricing of liquidity risk on the Shanghai stock market

Tsung-wu Ho and Shu-Hwa Chang

International Review of Economics & Finance, 2015, vol. 38, issue C, 112-130

Abstract: This study investigates whether liquidity is a source of priced systematic risk in stock returns of the Shanghai stock market in China. It is found that the cross-sectional expected stock returns are related to the sensitivities of returns to fluctuations in aggregate market liquidity. This research contributes to the literature in two ways: First, in addition to conventional portfolio sorting of liquidity beta quintiles, the threshold estimates of portfolio regimes are examined, that is, portfolios are sorted by estimated liquidity betas; the usefulness of threshold portfolio sorting is confirmed, which further confirms that liquidity risk is substantially priced. Second, among four liquidity measures, the Pastor and Stambaugh (2003) and Amihud measures outperform others in identifying the liquidity risk premium. Moreover, evidence from quantile regression provides robust confirmation of the results.

Keywords: Asset pricing; Liquidity; Liquidity risk premium; Quantile regression; Threshold portfolio sorting (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056014002147
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:38:y:2015:i:c:p:112-130

DOI: 10.1016/j.iref.2014.12.006

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 Haili He ().

 
Page updated 2020-05-02
Handle: RePEc:eee:reveco:v:38:y:2015:i:c:p:112-130