合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2015年
7期
997-1003
,共7页
证券投资基金%GARCH-EVT模型%VaR风险测度%ES风险测度%返回测试
證券投資基金%GARCH-EVT模型%VaR風險測度%ES風險測度%返迴測試
증권투자기금%GARCH-EVT모형%VaR풍험측도%ES풍험측도%반회측시
securities investment fund%GARCH-EVT model%value at risk (VaR) risk measure%expected shortfall(ES) risk measure%backtest
文章考虑了一类极值风险特征更为明显的金融资产,以股票基金、混合基金和债券基金为研究对象,比较研究了RiskMetrics、GARCH和GARCH-EVT 3类模型在动态极端风险测度上的表现,分别采用似然比检验和Bootstrap方法对3类模型给出的VaR和ES动态风险测度效果进行了返回测试。实证研究表明:基于GARCH-EVT模型给出的各类基金动态VaR和ES风险测度结果更为准确,意味着将GARCH模型与极值理论相结合,能够实现极端风险的准确测度;ES风险测度比VaR风险测度更保守,在测度极端风险时,应采用ES风险测度作为VaR风险测度的补充。
文章攷慮瞭一類極值風險特徵更為明顯的金融資產,以股票基金、混閤基金和債券基金為研究對象,比較研究瞭RiskMetrics、GARCH和GARCH-EVT 3類模型在動態極耑風險測度上的錶現,分彆採用似然比檢驗和Bootstrap方法對3類模型給齣的VaR和ES動態風險測度效果進行瞭返迴測試。實證研究錶明:基于GARCH-EVT模型給齣的各類基金動態VaR和ES風險測度結果更為準確,意味著將GARCH模型與極值理論相結閤,能夠實現極耑風險的準確測度;ES風險測度比VaR風險測度更保守,在測度極耑風險時,應採用ES風險測度作為VaR風險測度的補充。
문장고필료일류겁치풍험특정경위명현적금융자산,이고표기금、혼합기금화채권기금위연구대상,비교연구료RiskMetrics、GARCH화GARCH-EVT 3류모형재동태겁단풍험측도상적표현,분별채용사연비검험화Bootstrap방법대3류모형급출적VaR화ES동태풍험측도효과진행료반회측시。실증연구표명:기우GARCH-EVT모형급출적각류기금동태VaR화ES풍험측도결과경위준학,의미착장GARCH모형여겁치이론상결합,능구실현겁단풍험적준학측도;ES풍험측도비VaR풍험측도경보수,재측도겁단풍험시,응채용ES풍험측도작위VaR풍험측도적보충。
Considering a class of financial assets which have more obvious extreme risk characteristics ,and tak-ing equity fund ,hybrid fund and bond fund as research subjects ,the performance of dynamic extreme risk measure estimated by RiskMetrics model ,GARCH model and GARCH-EVT model are comparatively stud-ied ,and the likelihood ratio test and Bootstrap method are used to backtest dynamic VaR risk measure and ES risk measure estimated by three models respectively .The empirical results show that the results of dynamic VaR risk measure and ES risk measure of each fund estimated by GARCH-EVT model are more accurate , which implies that extreme risk may be measured through the integration of GARCH model and extreme value theory ;ES risk measure is more conservative than VaR risk measure and should be used as a supplement to VaR risk measure when measuring the extreme risk .