This paper examine the effect of financial institutions management information system migration to blockchain technology on systemic risk. Our study examines a sample of 40 financial institutions around the world. The aim is to identify to what extent the migration of financial company management information system to blockchain system contribute to minimize systemic risk measures through regressions on panel data. We have reached the empirical evidence which indicates that the change we mentioned earlier affect immediately the systemic risk level. Companies that have adopted the blockchain technology recorded a significant reduction in systemic risk level. In addition, financial institutions that have adopted this latter system recorded a significant decrease in long-run marginal expected shortfall and systemic risk index.
This paper aims to study the capital insufficiency in various Tunisian banks which are on the list of the Tunisian stock exchange market. Basing our work on the various measures of systemic risk, we have modeled the shortfall capital of the Tunisian banking sector in order to compare private banks and public ones in terms of exposure to systemic risk. We have also studied the effect of stock market shocks on the banks' marginal expected shortfall. The results obtained show that the systemic risk for the period 2006 and 2013 is mainly conveyed by the three public banks.
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