中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
theroleofjapanesecandlestickindvarmodel

文献类型:期刊论文

作者Xie Haibin2; Fan Kuikui3; Wang Shouyang1
刊名journalofsystemsscienceandcomplexity
出版日期2015
卷号28期号:5页码:1177
ISSN号1009-6124
英文摘要The decomposition-based vector autoregressive model (DVAR) provides a new framework for scrutinizing the efficiency of technical analysis in forecasting stock returns. However, its relationships with other technical indicators still remain unknown. This paper investigates the relationships of DVAR model with the Japanese Candlestick indicators using simulations, theoretical explanations and empirical studies. The main finding of this paper is that both lower and upper shadows in Japanese Candlestick Granger contribute to the DVAR model explanation power, and thus, providing useful information for improving the DVAR forecasts. This finding makes sense as it means that the information contained in the lower and upper shadows should be used when modeling the stock returns with DVAR. Empirical studies performed on China SSEC stock index demonstrate that DVAR model with upper and lower shadows as exogenous variables does have informative and valuable out-of-sample forecasts.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/37010]  
专题系统科学研究所
作者单位1.中国科学院数学与系统科学研究院
2.对外经济贸易大学
3.上海财经大学
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GB/T 7714
Xie Haibin,Fan Kuikui,Wang Shouyang. theroleofjapanesecandlestickindvarmodel[J]. journalofsystemsscienceandcomplexity,2015,28(5):1177.
APA Xie Haibin,Fan Kuikui,&Wang Shouyang.(2015).theroleofjapanesecandlestickindvarmodel.journalofsystemsscienceandcomplexity,28(5),1177.
MLA Xie Haibin,et al."theroleofjapanesecandlestickindvarmodel".journalofsystemsscienceandcomplexity 28.5(2015):1177.

入库方式: OAI收割

来源:数学与系统科学研究院

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