Events |
Seminar
Series of Dept Research Seminars - “Resilience of the financial system: a measurement model " (Date: 13 January 2017)
Our PhD student Miss Mingying SONG will give a seminar for his probationary report. The seminar information is as follows. All of you are welcome to the seminar.
Resilience is a property of the system, which focuses on the recovery ability of the system after a shock to the system. Financial systems play key roles in our society by performing their functions like risk sharing and information transferring etc. The increasing frequency and scope of financial crises have made global financial stability one of the major concerns of economic policy and decision makers. Therefore, resilience is very important for the financial system. We propose a model to measurement the resilience of financial systems. In this model, we use a financial system’s performance with recovery solutions after financial shocks to measure its resilience; furthermore, we propose a dynamic financial risk contagion process that can model how shocks spread within a financial system with consideration of both network effects and market liquidity effects. In addition, we discuss several preventive policies as well as some recovery solutions. A case study considering shocks of different levels is given to validate the proposed model.
All of you are welcome to the seminar and no registration is required.
Date | 13 January 2017 (Friday) |
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Time | 14:00-15:30 |
Venue | HW-828 |
Supervisor | Dr. J.W. Wang and Prof. G.Q. Huang |
Abstract | Resilience is a property of the system, which focuses on the recovery ability of the system after a shock to the system. Financial systems play key roles in our society by performing their functions like risk sharing and information transferring etc. The increasing frequency and scope of financial crises have made global financial stability one of the major concerns of economic policy and decision makers. Therefore, resilience is very important for the financial system. We propose a model to measurement the resilience of financial systems. In this model, we use a financial system’s performance with recovery solutions after financial shocks to measure its resilience; furthermore, we propose a dynamic financial risk contagion process that can model how shocks spread within a financial system with consideration of both network effects and market liquidity effects. In addition, we discuss several preventive policies as well as some recovery solutions. A case study considering shocks of different levels is given to validate the proposed model. |