An empirical study of Chinese listed firms’ herd behaviour in cross‐border mergers and acquisitions
HaiYue Liu,
ShiYi Liu,
JiaTian Li and
Peng Wu
Accounting and Finance, 2021, vol. 61, issue 5, 6295-6331
Abstract:
Based on the sample of Chinese listed firms from 2003 to 2019, this paper investigated the herd behaviour in cross‐border mergers and acquisition (CB M&A) decisions using ordinary least‐squares (OLS) and feasible generalised least squares (FGLS) models. It was found that the Chinese listed firm CB M&A location decisions were similar to the choices made by other firms in the same industry in the previous year, with the bellwether firms in high industry market positions being the key reference objects. The herd behaviour was found to be more pronounced when the firms were younger and smaller, there was strong internal industry competition, estranged bilateral political distances, and poor host country governance. The quantification of the economic consequences of the herd behaviour revealed a negative effect on the short‐term performances after the CB M&As but improved firm performances over the long term, with these improvements being more significant when the herd behaviour was led by bellwether firms.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1111/acfi.12853
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:bla:acctfi:v:61:y:2021:i:5:p:6295-6331
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0810-5391
Access Statistics for this article
Accounting and Finance is currently edited by Robert Faff
More articles in Accounting and Finance from Accounting and Finance Association of Australia and New Zealand Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().