TY - JOUR
T1 - Cross-influence of information and risk effects on the IPO market
T2 - exploring risk disclosure with a machine learning approach
AU - Xia, Huosong
AU - Weng, Juan
AU - Boubaker, Sabri
AU - Zhang, Zuopeng
AU - Jasimuddin, Sajjad M.
N1 - © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
PY - 2024/3
Y1 - 2024/3
KW - Enterprise information transparency
KW - Information effect
KW - Risk disclosure
KW - Risk effect
KW - Unsupervised machine learning algorithm
UR - https://www.scopus.com/pages/publications/85140476042
UR - https://www.scopus.com/pages/publications/85140476042#tab=citedBy
UR - https://www.mendeley.com/catalogue/e8251d2c-7b5a-3203-89d2-0eff8b3b00b3/
U2 - 10.1007/s10479-022-05012-8
DO - 10.1007/s10479-022-05012-8
M3 - Article
C2 - 36312208
AN - SCOPUS:85140476042
SN - 0254-5330
VL - 334
SP - 761
EP - 797
JO - Annals of Operations Research
JF - Annals of Operations Research
IS - 1-3
ER -