Risk Measurement VaR Based On S-type Membership Function In The Fuzzy Methematics

With the deepening of economic globalization countries in the global financial market is no longer as a single one,on the contrary,the markets have been even as a whole,as long as there is volatility in one country,others will feedback especially in the developed countries,it is indeed affect the whole bodyThus,the financial risk of their own has become the focus of global financial institutions of various countries,"comprehensive risk management "also been put on the agenda.But the "risk "is an abstract term,only by mathematical methods can we have a clear understanding of it so as to control it clearly and directly.Variance method and the P method are the traditional method of quantitative.But there is difference between certain assumptions and the reality of financial markets in the use of these two methods.So the results of the traditional quantitative methods may not be perfect suit the risk.Because of the uncertainty and ambiguity of risk, this paper calculate the VaR by a new perspective:the use of membership function of the S-function in fuzzy mathematics.S-type function has excellent properties, in2002, the Nobel laureate Professor Daniel Kahneman in economics applied psychology to economics by S-type function. As China’s economy by the considerable psychological impact of this policy, this article will also continue to use the S-type function, while traditional VaR calculation method has an obvious flaw, it is the model risk, we use the most optimal way to avoid seeking distribution function, to avoid the risk of the model.