华沙证券交易所极端行情下WIG20指数的收益率

Krzysztof Piasecki, Edyta Tomasik
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引用次数: 1

摘要

本文分析了WSE极端潮汐转向情况下WIG20收益经验序列的正态分布、t-Student分布、α-stable分布、双曲分布、广义双曲分布、正态逆高斯分布、广义双曲t-Student分布和一般误差分布的拟合。分析了WSE上引用的WIG20指数在两个时期的日对数收益率:2005年5月17日至2007年7月5日的密集上升趋势时期和2007年7月6日至2009年2月17日的密集下降趋势时期。研究结果表明,在两个分析时期,相同的分布最能反映实际收益率的特征。最佳拟合分布属于广义双曲分布族。
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Return Rates of WIG20 Index in the Situation of Extreme Tide Turning on the Warsaw Stock Exchange
In the paper the authors presented analysis of fitting the following distributions: normal, t-Student, α-stable, hyperbolic, generalized hyperbolic, normal inverse Gaussian, generalized hyperbolic t-Student and general error distribution to the empirical series of WIG20 returns in the situation of extreme tide turning on the WSE. There were analysed daily logarithmic rates of returns of WIG20 index quoted on the WSE in two periods: the period of intensive rising trend 17 May 2005-05 July 2007 and the period of intensive declining trend 06 July 2007-17 February 2009. The results of the study show that the characteristics of real rates of returns art the best reflected by the same distributions in the both analysed periods. The best fitted distributions belong to the family of generalized hyperbolic distributions.
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