G2TT
来源类型Discussion paper
规范类型论文
来源IDDP2148
DP2148 Consumption Insurance or Consumption Mobility
Tullio Jappelli; Luigi Pistaferri
发表日期1999-05-31
出版年1999
语种英语
摘要This article presents an application of extreme value theory to compute the value at risk of a market position. In statistics, extremes of a random process refer to the lowest observation (the minimum) and to the highest observation (the maximum) over a given time-period. Extreme value theory gives some interesting results about the distribution of extreme returns. In particular, the limiting distribution of extreme returns observed over a long time-period is largely independent of the distribution of returns itself. In financial markets, extreme price movements correspond to market corrections during ordinary periods, and also to stock market crashes, bond market collapses or foreign exchange crises during extraordinary periods. An approach based on extreme values to compute the VaR thus covers market conditions ranging from the usual environment considered by the existing VaR methods to the financial crises which are the focus of stress testing. Univariate extreme value theory is used to compute the VaR of a fully-aggregated position while multivariate extreme value theory is used to compute the VaR of a position decomposed on risk factors.
主题Financial Economics
关键词Aggregation of risks Capital requirements Extreme value theory Financial crises Financial regulation Measure of risk Risk management Stress testing Value at risk
URLhttps://cepr.org/publications/dp2148
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/531257
推荐引用方式
GB/T 7714
Tullio Jappelli,Luigi Pistaferri. DP2148 Consumption Insurance or Consumption Mobility. 1999.
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