基于t-Copula的滬深300指數(shù)數(shù)據(jù)分析
本文關(guān)鍵詞: 連接函數(shù) 回歸 滬深300指數(shù) 風(fēng)險(xiǎn)價(jià)值 風(fēng)險(xiǎn)價(jià)值分解 出處:《東北大學(xué)》2012年碩士論文 論文類(lèi)型:學(xué)位論文
【摘要】:Copula(連接函數(shù))是研究變量間聯(lián)合分布的理論,近些年來(lái)受到了各界廣泛的關(guān)注與研究.本文研究了基于Copula結(jié)構(gòu)的回歸模型,并將模型應(yīng)用于VaR(風(fēng)險(xiǎn)價(jià)值)分解理論中,通過(guò)該模型對(duì)滬深300指數(shù)的數(shù)據(jù)進(jìn)行了分析. 首先,本文介紹了Copula理論,敘述了Copula的概念、性質(zhì)以及幾種常用的Copula函數(shù),簡(jiǎn)要介紹了Copula模型的構(gòu)造以及評(píng)價(jià)方法.并在Copula理論的基礎(chǔ)上研究了構(gòu)造回歸模型的方法,介紹了幾種Copula結(jié)構(gòu)下的回歸模型,重點(diǎn)討論了t-Copoula回歸模型.通過(guò)模擬數(shù)據(jù)回歸模型的效果檢驗(yàn),發(fā)現(xiàn)t-Copula模型回歸效果對(duì)于邊緣分布服從t分布的數(shù)據(jù)的擬合效果較好. 然后,介紹了風(fēng)險(xiǎn)價(jià)值理論及風(fēng)險(xiǎn)價(jià)值分解的內(nèi)容,敘述了在正態(tài)假設(shè)下風(fēng)險(xiǎn)價(jià)值和風(fēng)險(xiǎn)價(jià)值分解的計(jì)算方法,并研究了在t分布的假設(shè)下求解風(fēng)險(xiǎn)價(jià)值的方法. 最后,將Copula回歸與VaR分解理論相結(jié)合,研究了使用t-Copula回歸模型對(duì)某一投資組合中各個(gè)資產(chǎn)邊際VaR,成分VaR的求解,在t分布的假設(shè)下,使用t-Copula模型對(duì)滬深300指數(shù)數(shù)據(jù)進(jìn)行了研究.
[Abstract]:Copula (join function) is a theory to study the joint distribution of variables, which has been widely concerned and studied in recent years. In this paper, the regression model based on Copula structure is studied. The model is applied to the decomposition theory of VaR (risk value), and the data of Shanghai and Shenzhen 300 index are analyzed by the model. First of all, this paper introduces the Copula theory, describes the concept, properties and several commonly used Copula functions of Copula. This paper briefly introduces the construction and evaluation method of Copula model, studies the method of constructing regression model on the basis of Copula theory, and introduces several regression models under Copula structure. The t-Copoula regression model is discussed in detail. It is found that the regression effect of t-Copula model is better for fitting the data of the edge distribution from t distribution. Then, it introduces the theory of risk value and the content of risk value decomposition, and describes the calculation method of risk value and risk value decomposition under normal assumption. The method of calculating the value of risk under the assumption of t distribution is also studied. Finally, combining Copula regression with VaR decomposition theory, this paper studies the solution of each asset marginal value and component VaR in a portfolio by using t-Copula regression model. Under the assumption of t distribution, t-Copula model is used to study the index data of Shanghai and Shenzhen 300.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類(lèi)號(hào)】:F832.51;F224
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