Abstract
Due to the recent financial crisis, several systemic risk measures have been proposed in the literature for quantifying financial system wide distress. In this note we propose an aggregated Index for financial systemic risk measurement based on EOF and ICA analyses on the several systemic risk measures released in the recent literature. We use this index to further identify the states of the market as suggested in Kouontchou et al. [18]. We show, by characterizing markets conditions with a robust Kohonen Self-Organizing Maps algorithm that this measure is directly linked to crises markets states and there is a strong link between return and systemic risk.
Original language | English |
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Title of host publication | Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 |
Publisher | IEEE Computer Society |
Pages | 1759-1770 |
Number of pages | 12 |
Volume | 2016-March |
ISBN (Electronic) | 9780769556703 |
DOIs | |
Publication status | Published - 7 Mar 2016 |
MoE publication type | A4 Article in a conference publication |
Event | Annual Hawaii International Conference on System Sciences - Koloa, United States Duration: 5 Jan 2016 → 8 Jan 2016 Conference number: 49 |
Conference
Conference | Annual Hawaii International Conference on System Sciences |
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Abbreviated title | HICSS |
Country | United States |
City | Koloa |
Period | 05/01/2016 → 08/01/2016 |