Explaining Disparities in AH Stock Premium Returns with Chinese Economic Policy Uncertainty: Evidence Based on a Non-Parametric Analysis
Author(s) -
Mohib Ur Rahman,
Bing Xu,
Yuan Xiao,
Wentsung Lai
Publication year - 2019
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2019.p0658
Subject(s) - econometrics , china , proxy (statistics) , stock (firearms) , index (typography) , parametric statistics , economics , kernel density estimation , computer science , statistics , mathematics , political science , mechanical engineering , machine learning , estimator , world wide web , law , engineering
This paper empirically investigates the AH share premium puzzle considering the impact of economic policy uncertainty (EPU) in China, using Hang Seng AH premium (HSAHP) index data from March 2011 to June 2018. Specifically, the index of Baker, Bloom, and Davis is used as a proxy for EPU in China. The data has been divided into two periods: 0 and 1. Period 0 includes data before the launch of the stock connect program and spans from March 2011 to October 2014, while period 1 represents data from after the launch of stock connect program and spans from November 2014 to June 2018. To more robustly test the change in AH premiums after the “connect” is launched; we evaluate the impact of Chinese EPU using non-parametric kernel density estimation. The empirical results show that parameter uncertainty explains variations in price disparity and can significantly reduce the returns of the AH share premium index.
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