Bank digital transformation and liquidity mismatch: Evidence from China

Xiaohui Hou and Rui Yang

International Review of Economics & Finance, 2024, vol. 92, issue C, 581-597

Abstract: To investigate the bidirectional relation between bank digital transformation and liquidity mismatch, this paper employ the empirical methodology of panel Granger causality tests to examine the relationship between digital transformation indicators and liquidity mismatch index, employing panel vector autoregression models, as well as a panel structural vector autoregression model, employing the data of 181 Chinese commercial banks in the period before COVID-19. We find a bidirectional causality between digital transformation and the liquidity mismatch index. An increase in the degree of digital transformation in commercial banks significantly reduces the bank liquidity mismatch index; furthermore, a decrease in the degree of the bank liquidity mismatch index results in an increase in bank digital transformation. The digital transformation enhances a bank's susceptibility to liquidity stress, although a bank suffering from higher liquidity mismatch prefers to promote digital transformation. Furthermore, we find that cognitive digital transformation is the primary driving factor of the bidirectional causality relationship and the relationship between digital transformation and the liquidity mismatch index is heterogeneous for banks with various ownership types.

Keywords: Digital transformation; Liquidity mismatch; Commercial banks; China (search for similar items in EconPapers)
JEL-codes: G21 G29 G32 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056024001242
Full text for ScienceDirect subscribers only

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:eee:reveco:v:92:y:2024:i:c:p:581-597

DOI: 10.1016/j.iref.2024.02.050

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().