TY - JOUR
T1 - Analyst earnings forecast under complex corporate ownership in China
AU - Huang, Wei
AU - Wright, Brian
N1 - Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - This paper investigates stock analysts' earnings forecasts under complex corporate ownership in China. Based on a sample of 1298 firms for years 2004-2011, our evidence suggests that state shareholding is negatively related to the quality of consensus analysts' earnings forecasts. In particular, it is associated with stronger upward bias, and larger 'inaccuracy'. We also show that higher percentages of tradable shares, A-shares, block tradable shareholdings, and institutional shareholdings improve forecast quality. Further robustness tests suggest block shareholding, irrespective of the shareholder type (state/tradable/institutional), is associated with lower probabilities of downward forecast revisions later in the year.
AB - This paper investigates stock analysts' earnings forecasts under complex corporate ownership in China. Based on a sample of 1298 firms for years 2004-2011, our evidence suggests that state shareholding is negatively related to the quality of consensus analysts' earnings forecasts. In particular, it is associated with stronger upward bias, and larger 'inaccuracy'. We also show that higher percentages of tradable shares, A-shares, block tradable shareholdings, and institutional shareholdings improve forecast quality. Further robustness tests suggest block shareholding, irrespective of the shareholder type (state/tradable/institutional), is associated with lower probabilities of downward forecast revisions later in the year.
KW - Analyst forecast bias
KW - China
KW - Ownership structure
KW - State shareholding
UR - http://www.scopus.com/inward/record.url?scp=84922788585&partnerID=8YFLogxK
U2 - 10.1016/j.intfin.2015.01.003
DO - 10.1016/j.intfin.2015.01.003
M3 - Article
AN - SCOPUS:84922788585
SN - 1042-4431
VL - 35
SP - 69
EP - 84
JO - Journal of International Financial Markets, Institutions and Money
JF - Journal of International Financial Markets, Institutions and Money
ER -