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Measuring Systemic Risk via Marginal Expected Shortfall and Delta Conditional Value at Risk and Banks Rating
| Content Provider | Semantic Scholar |
|---|---|
| Author | Eivazlu, Reza Rameshg, Mehdi |
| Copyright Year | 2019 |
| Abstract | Objectives: Systemic risk refers to the risk of failing a financial system or the failure of the entire market. This risk can arise from the instability or crisis in financial institutions and transfer to the whole of the financial system, through contagion. In other words, the systemic risk could be seen as the degree of the interconnection between different divisions of a financial system, where a failure in a financial institution may lead to a whole system crisis. Method: In this paper, we study systemic risks in the Iranian banking sector by using two crucial systemic risk measures, the MES (marginal expected shortfall) and Co-VaR. To compute both measures, we employ Engle's dynamic conditional correlation model. Results: According to our results, although these two systemic risk measures differ in defining the contributions to systemic risk, both are qualitatively very similar in explaining the cross-sectional differences in systemic risk contributions across banks. In addition, using a threshold VAR model, we suggest an overall systemic risk measure – the aggregate MES – and its associated threshold value for use as an early warning indicator. The paper is innovative in applying statistical models (dynamic conditional correlation model) to seek for a reliable commercial banks rating, using by approaches MES and COVAR. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.sid.ir/FileServer/JF/4022013982701 |
| Alternate Webpage(s) | http://amf.ui.ac.ir/article_23292_751a6e8b0bce78149793a49655108049.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |