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International Monetary Fund. Monetary and Capital Markets Department
This paper summarizes the stress tests (ST) undertaken for the Malaysian banking system as part of the Financial Sector Assessment Program (FSAP). All banks were subject to solvency, liquidity and contagion tests in the macroeconomic stress testing set-up. The solvency tests assessed the resilience of the Malaysian banking system under three macroeconomic scenarios from 2012 to 2016. Single year bottom up (BU) sensitivity tests for Malaysian banks covered various single-factor credit and market risk shocks. A multi-factor BU sensitivity liquidity test was also carried out by participating banks and extended to not only key onshore banks but covered some Labuan entities and overseas subsidiaries. The findings suggest that the onshore banking system in Malaysia has substantial capital buffers to absorb credit losses on its credit risk exposures. Conventional banks can benefit from buffers provided by significant income as a first line of defense against credit losses. Some larger domestic banks benefit from income in terms of strong revenues from domestic operations as well as potential income from overseas operations.
Mr. Vlad Manole and Mr. David A. Grigorian
Bahrain's financial sector development strategy succeeded in building a leading regional banking center, which has become one of the main engines of growth and sources of employment. Although the simulations conducted in the paper suggest that the banking sector in Bahrain continues to occupy a front-runner position among those in a sample of member countries of the Gulf Cooperation Council, they also reveal that: (i) as expected, banks in Bahrain still lag behind their Singaporean counterparts, and (ii) there is strong competition from other countries in the region. The paper also finds that in terms of scale efficiency, the banks in Bahrain operate at the same level as banks in Singapore and their closest competitors in Qatar and the United Arab Emirates. The results appear to be robust with respect to changes in the sample size and model specifications.