G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10809
DP10809 Is a normal copula the right copula?
ENRIQUE SENTANA; Dante Amengual
发表日期2015-09-06
出版年2015
语种英语
摘要We derive computationally simple and intuitive expressions for score tests of Gaussian copulas against Generalised Hyperbolic alternatives, including symmetric and asymmetric Student t, and Hermite polynomial expansions. We decompose our tests into third and fourth moment components, and obtain one-sided Likelihood Ratio analogues, whose asymptotic distribution we provide. We conduct Monte Carlo exercises to assess the finite sample properties of asymptotic and bootstrap versions of our tests. In an empirical application to CRSP stocks, we find that short-term reversals and momentum effects are better captured by non-Gaussian copulas. We estimate their parameters by indirect inference, and devise successful trading strategies.
主题Financial Economics
关键词Cokurtosis Coskewness indirect inference Kuhn-tucker test Momentum strategies Non-linear dependence Short-term reversals Supremum test Underidentified parameters
URLhttps://cepr.org/publications/dp10809
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/539639
推荐引用方式
GB/T 7714
ENRIQUE SENTANA,Dante Amengual. DP10809 Is a normal copula the right copula?. 2015.
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