Credit efficiency: Another early warning indicator for systemic risk

Credit booms can lead to either financial crises or economic growth, depending on their nature. Identifying harmful credit booms and providing early warnings of financial crises remain key challenges. This paper introduces a new Credit Efficiency Indicator that can distinguish between different types of credit boom and detect early signs of a financial crisis. Based on G20 data over 30 years and using panel regression models with interaction terms, as well as probit and logistic models for binary crisis prediction, the results show that a sustained decline in credit efficiency significantly increases the likelihood of a financial crisis. The paper critiques traditional indicators such as the credit gap and leverage ratio, which focus on debt size but fail to reflect the quality and efficiency of credit allocation. The study emphasizes that credit efficiency, representing effective credit allocation and its conversion into economic output, is crucial for both economic growth and financial stability. This research also offers policymakers new perspectives and tools to improve early warning systems and systemic risk management. • Construct credit efficiency as a systemic risk early warning indicator. • This indicator plays a crucial role in identifying harmful credit booms. • The indicator has unique capabilities in forecasting financial risks. • Emphasize the shift of macroprudential policy towards capital allocation efficiency. • Advocate targeted deleveraging policies to achieve a balance between growth and risk control.

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Publication Details

Journal
Research in International Business and Finance
Published
2025-11-07
DOI
https://doi.org/10.1016/j.ribaf.2025.103192
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

Credit efficiency: Another early warning indicator for systemic risk

Adelphe Ekponon, Chenyao Tang
Research in International Business and Finance
Banking stability, regulation, efficiency
article

Credit efficiency: Another early warning indicator for systemic risk

Adelphe Ekponon, Chenyao Tang
article en

Abstract

Credit booms can lead to either financial crises or economic growth, depending on their nature. Identifying harmful credit booms and providing early warnings of financial crises remain key challenges. This paper introduces a new Credit Efficiency Indicator that can distinguish between different types of credit boom and detect early signs of a financial crisis. Based on G20 data over 30 years and using panel regression models with interaction terms, as well as probit and logistic models for binary crisis prediction, the results show that a sustained decline in credit efficiency significantly increases the likelihood of a financial crisis. The paper critiques traditional indicators such as the credit gap and leverage ratio, which focus on debt size but fail to reflect the quality and efficiency of credit allocation. The study emphasizes that credit efficiency, representing effective credit allocation and its conversion into economic output, is crucial for both economic growth and financial stability. This research also offers policymakers new perspectives and tools to improve early warning systems and systemic risk management. • Construct credit efficiency as a systemic risk early warning indicator. • This indicator plays a crucial role in identifying harmful credit booms. • The indicator has unique capabilities in forecasting financial risks. • Emphasize the shift of macroprudential policy towards capital allocation efficiency. • Advocate targeted deleveraging policies to achieve a balance between growth and risk control.

Research in International Business and FinanceVol. 81
University of Ottawa (CA), Wilfrid Laurier University (CA), University of Edinburgh (GB)
Openalex Percentile: Top 58%
Banking stability, regulation, efficiency
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Credit efficiency: Another early warning indicator for systemic risk — Adelphe Ekponon, Chenyao Tang · Research in International Business and Finance (2025) | TGRS Research Map | TGRS