Journal
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY
Volume 74, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.intfin.2021.101405
Keywords
Cross-border banking groups; Systemic risk; CIMDO; Clusters; WAEMU
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This study examines the potential systemic risk in the banking sector of the West African Economic and Monetary Union (WAEMU) using bank-level data from all member countries from 2000 to 2017. It finds that while most banks have low individual probabilities of default, there is a high joint probability of default for most pairs of banks, indicating seeds of systemic risk in WAEMU. The use of quantile estimation helps identify bank characteristics that may explain systemic risk.
This paper examines the existence of potential systemic risk in the banking sector of the West African Economic and Monetary Union (WAEMU) by using hand-collected bank-level data from all WAEMU countries for 2000-2017. One original aspect of our paper is the estimation of probabilities of default, in conjunction with the CIMDO method (Consistent Information Multivariate Density Optimizing) and the use of clustering techniques. We find that most of the banks have a very low probability of default, but there is a high joint probability of default for most pairs of banks. Therefore, there are seeds of systemic risk in the WAEMU: if the financial strength of large banking groups deteriorates, there could be contagion effects that could weaken the union. The use of quantile estimation has helped to determine banks' characteristics that may explain the systemic risk.
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