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Author:

Yang, S. (Yang, S..) | Liu, M. (Liu, M..) | Liu, T. (Liu, T..) | Zhang, Q. (Zhang, Q..)

Indexed by:

EI Scopus

Abstract:

This study explores the nonlinear effects of development of fintech on the information efficiency of capital market by developing a panel threshold regression (PTR) model, using data from 2006 to 2019 of 31 provinces (or municipalities directly under the Central Government) in China. In the PTR model, stock price synchronicity is the explained variable, whereas institutional environment and governance environment are the threshold variables; fintech is the explanatory variable. The results are as follows: first, the development of regional fintech has a positive effect on the information efficiency of capital market; second, there exists threshold effect in the relationship between fintech and the information efficiency of capital market. The positive effect of fintech on the information efficiency of capital market can be effectively played only when the regional institutional environment is relatively good and the corporate governance environment is relatively perfect. This paper provides novel empirical evidence for the path and mechanism of fintech development affecting the information efficiency of capital market. The threshold regression results can better reflect the real situation and better explain the relationship between fintech and information efficiency of capital market.  © 2022 ACM.

Keyword:

threshold effect Fintech stock price synchronicity information efficiency of capital market

Author Community:

  • [ 1 ] [Yang S.]School of Economics and Management, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing, China
  • [ 2 ] [Liu M.]School of Economics and Management, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing, China
  • [ 3 ] [Liu T.]School of Economics and Management, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing, China
  • [ 4 ] [Zhang Q.]School of Economics and Management, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing, China

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Source :

Year: 2022

Page: 367-373

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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