Measurement of Liquidity Risk in Commercial Banks: using high-order ES based on Peaks over Thresholds model
How to accurately measure liquidity risk of commercial banks is a significant issue. Nowadays, the primary measurement methods are to apply some simple financial indicators, VaR or L-VaR Because of the nature defects, these methods would affect the effectiveness of risk measurement in certain extreme environments such as the financial crisis. In the light of the defects, this paper presents a measurement model based on POT-ES(n) in order to capture the liquidity risk that commercial banks face more effectively in extreme cases. The result of Back Test shows that the risk values obtained from POT-ES(n) model perform better in liquidity risk measurement.
Commercial Bank liquidity risk EVT VaR ES(n)
Yanju Zhou Hongying Ren Zongrun Wang
Business School, Central South University, Changsha, 410083, China
国际会议
长沙
英文
1814-1817
2010-05-11(万方平台首次上网日期,不代表论文的发表时间)