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Impact study of volatility modelling of Bangladesh stock index using non-normal density
Rahman, Md. Mostafizur ; Zhu, Jian-Ping ; Rahman, M. Sayedur ; Zhu JP(朱建平)
刊名http://dx.doi.org/10.1080/02664760802320574
2008
关键词CONTINUOUS-TIME MODELS SPOT INTEREST-RATE CONDITIONAL HETEROSKEDASTICITY MARKET VOLATILITY PERFORMANCE RETURNS
英文摘要Ministry of Education of the People's Republic of China [NCET-04-0608]; This article examines a wide variety of popular volatility models for stock index return, including the random walk (RW), autoregressive, generalized autoregressive conditional heteroscedasticity (GARCH), and asymmetric GARCH models with normal and non-normal (Student's t and generalized error) distributional assumption. Fitting these models to the Chittagong stock index return data from the period 2 January 1999 to 29 December 2005, we found that the asymmetric GARCH/GARCH model fits better under the assumption of non-normal distribution than under normal distribution. Non-parametric specification tests show that the RW-GARCH, RW-TGARCH, RW-EGARCH, and RW-APARCH models under the Student's t-distributional assumption are significant at the 5% level. Finally, the study suggests that these four models are suitable for the Chittagong Stock Exchange of Bangladesh. We believe that this study would be of great benefit to investors and policy makers at home and abroad.
语种英语
出版者J APPL STAT
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/90133]  
专题经济学院-已发表论文
推荐引用方式
GB/T 7714
Rahman, Md. Mostafizur,Zhu, Jian-Ping,Rahman, M. Sayedur,et al. Impact study of volatility modelling of Bangladesh stock index using non-normal density[J]. http://dx.doi.org/10.1080/02664760802320574,2008.
APA Rahman, Md. Mostafizur,Zhu, Jian-Ping,Rahman, M. Sayedur,&朱建平.(2008).Impact study of volatility modelling of Bangladesh stock index using non-normal density.http://dx.doi.org/10.1080/02664760802320574.
MLA Rahman, Md. Mostafizur,et al."Impact study of volatility modelling of Bangladesh stock index using non-normal density".http://dx.doi.org/10.1080/02664760802320574 (2008).
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