Title :
Study of Financial Risk Based on EVT
Author :
Li, Feng ; Quan, Qizhe
Author_Institution :
Software Coll., Shenyang Normal Univ., Shenyang, China
Abstract :
On the assumption that traditional research methods adopts normal distribution which leads to the VaR estimation deviation. This paper utilizes POT model of extreme value theory, and GPD distribution which can give more accurate description on tail distribution of benefits of financial products. Comparing with traditional research methods, extreme theory can make fully use of historical data, and overcome shortcomings of traditional methods in computing high reliability VaR.
Keywords :
Pareto distribution; finance; normal distribution; risk management; EVT; GPD distribution; POT model; VaR estimation deviation; extreme value theory; financial risk management; generalized Pareto distribution; normal distribution; peak-over-threshold model; tail distribution; Distribution functions; Educational institutions; Gaussian distribution; Hybrid intelligent systems; Investments; Life estimation; Probability distribution; Random variables; Reactive power; Reliability theory; POT; VaR; extreme value theory; generalized Pareto distribution;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.249