Artikel

Bank competition, foreign bank entry, and risk-taking behavior: Cross country evidence

This unique study examines the interactive role of bank competition and foreign bank entry in explaining the risk-taking of banks over the globe. We used cross-country data for the banking sector from 2000 to 2016. Using the pooled regression model and Two-stage Least Squares model (2SLS with Generalized Method of Moments GMM), we document that foreign bank entry decreases the risk-taking behavior of the banks to a certain level and exhibits an inverted U-shaped relation with financial stability. Furthermore, the joint effect of bank competition and foreign bank entry brings financial fragility because host banks tend to make risky investments due to undue competition induced by foreign bank entry. We support the competition-fragility hypothesis when foreign bank entry goes beyond a certain threshold. Our results also suggest that restrictions on bank activities and capital regulation stringency reduce the level of the risk factor. We also applied various robustness tests, which further confirm our mainstream results. Our findings have policy implications for foreign investors and regulatory authorities.

Sprache
Englisch

Erschienen in
Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 12 ; Year: 2019 ; Issue: 3 ; Pages: 1-26 ; Basel: MDPI

Klassifikation
Wirtschaft
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Financial Markets and the Macroeconomy
Thema
foreign bank entry
bank competition
H-statistics
pooled regression
dynamic panel models
risk-taking behavior

Ereignis
Geistige Schöpfung
(wer)
Chen, Sichong
Nazir, Muhammad Imran
Hashmi, Shujahat Haider
Shaikh, Ruqia
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2019

DOI
doi:10.3390/jrfm12030106
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Chen, Sichong
  • Nazir, Muhammad Imran
  • Hashmi, Shujahat Haider
  • Shaikh, Ruqia
  • MDPI

Entstanden

  • 2019

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