...
首页> 外文期刊>Physica, A. Statistical mechanics and its applications >VC correlation analysis on the overnight and daytime return in Japanese stock market
【24h】

VC correlation analysis on the overnight and daytime return in Japanese stock market

机译:日本股市过夜和白天回报的VC相关分析

获取原文
获取原文并翻译 | 示例
           

摘要

While most financial engineering and econophysics studies have focused in daytime trading, much less investigation has been devoted to the non-trading or night periods. In this work, the correlation between overnight and daytime return (correlation ND) and the correlation between daytime return and following over night return (correlation DF) were investigated, which led to several findings. First, a weak negative correlation between overnight and daytime return (correlation ND) was observed in Japanese Stocks Market. Secondly, the application of Volatility Constrained correlation (VC correlation) method led to a significant amplification of this signal which benefits for increasing predictability of day time return compared to standard correlation. Furthermore, the analysis of the amplified signal derived from VC correlation for each stock revealed a linear scale relationship between the standard correlation and VC correlation. Therefore, this result indicates that by using the VC correlation, stronger correlation effect can be observed. Taking together, these findings suggest that the combination of VC approach with financial trading data over night paves the way to improve market predictability. (C) 2018 Elsevier B.V. All rights reserved.
机译:虽然大多数金融工程和生态物理学研究都集中在白天交易中,但较少的调查已经致力于非交易或夜间。在这项工作中,研究了一夜之间和白天返回(相关性ND)和白天返回之间的相关性,并在夜间返回(相关性DF)之间进行了相关性,从而导致了几个结果。首先,在日本股市中观察到过夜和白天回报(相关ND)之间的弱负相关。其次,挥发性约束相关性(Vc相关)方法的应用导致该信号的显着放大,与标准相关相比,该信号的益处增加了一天时间回报的可预测性。此外,对每股VC相关的扩增信号的分析显示了标准相关和VC相关之间的线性比例关系。因此,该结果表明,通过使用VC相关性,可以观察到更强的相关效果。在一起,这些调查结果表明,VC方法与夜间金融交易数据的结合铺平了提高市场可预测性的方式。 (c)2018年elestvier b.v.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号