The impact of herding behaviour of Chinese securities investment funds on firm value: the mediating effects of stock price informativeness and agency cost
Liang Wang and
Xianyan Xiong
Applied Economics Letters, 2022, vol. 29, issue 14, 1248-1255
Abstract:
This paper investigates the impact of herding behaviour of Chinese Securities Investment Funds (SIFs) on firm value by taking stock price informativeness and agency cost as intermediary variables. It constructs LSV model to measure herding behaviour of SIFs, and develops logarithmic conversion method of the goodness-of-fit to characterize stock price informativeness. The stepwise regression method is employed for empirical analysis and it is found that: (i) The herding behaviour of SIFs significantly negatively affects the stock price informativeness, and the former is ‘intentional herding’ that ignores personal private information. (ii) The stock price informativeness is positively related to firm value, while agency cost has a significant negative influence on firm value. (iii) The stock price informativeness and agency cost play significant partial mediating effects between the herding behaviour of SIFs and firm value, respectively.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2021.1923633 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:29:y:2022:i:14:p:1248-1255
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2021.1923633
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().