Abstract
We propose an empirical model framework named dynamic guarantee network model for real data analysis and numerical simulation. Firstly, stock prices' stochastic process and liquidation mechanism with fire-sale are involved in this model. Secondly, by initializing a random direct guarantee network, the simulation results show the positive correlation between systemic and firms' total assets or leverage ratio. Finally, we found the correspondence between risk spillover measured by CoVaR and risk contagion level BSP derived from this model, which supports the impact of guarantee network linkages on the systemic risk of Chinese list firms.
| Original language | English |
|---|---|
| Title of host publication | ICAAI 2021 - 2021 5th International Conference on Advances in Artificial Intelligence |
| Publisher | Association for Computing Machinery |
| Pages | 11-16 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450390699 |
| DOIs | |
| State | Published - 20 Nov 2021 |
| Externally published | Yes |
| Event | 5th International Conference on Advances in Artificial Intelligence, ICAAI 2021 - Virtual, Online, United Kingdom Duration: 20 Nov 2021 → 22 Nov 2021 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 5th International Conference on Advances in Artificial Intelligence, ICAAI 2021 |
|---|---|
| Country/Territory | United Kingdom |
| City | Virtual, Online |
| Period | 20/11/21 → 22/11/21 |
Bibliographical note
Publisher Copyright:© 2021 ACM.
Keywords
- agent-based model
- dynanmic guarantee network
- empirical analysis
- risk spillover
- systemic risk
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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