期刊文献+

非常规突发事件对股票市场收益率与债券市场收益率的影响研究——基于ARIMA模型的实证 被引量:4

Research on the Impact of Unconventional Emergencies on the Yield of Stock Returns and Bond Markets Returns——Empirically study based on ARIMA model
在线阅读 下载PDF
导出
摘要 最近几年,非常规突发事件频频发生对金融市场产生了巨大的冲击。研究非常规突发事件对金融市场的冲击有利于提高投资者的风险意识,规避非常规突发事件带来的风险。利用ARIMA模型研究了SARS事件对股票市场收益率与债券市场收益率的影响。通过建立ARIMA模型,利用该模型对SARS事件期间的股票市场收益率和债券市场收益率进行预测。预测结果发现,在SARS事件发生期间,上证指数实际值与预测值的差值大部分都为负数,而上证国债指数的实际值与预测值的差值大部分都为正数。实证结果表明,由于存在投资者的安全性转移行为,SARS事件对我国股票市场产生了负向冲击,对国债市场产生了正向的影响。 In last several years, unconventional emergencies occur frequently, which engendered a huge impact on financial markets. The study of unconventional emergencies impacting on financial markets is conducive to raise awareness of the risk of investors and avoid the risks of unconventional emergencies. This paper uses the ARIMA model to study the impact of SARS incident on the stock market return and bond market return. Through the establishment of ARIMA model, and by using the model to forecast the rate of return on the stock market and bond market during the SARS event, it is found that, during the SARS event, the difference between the actual values and predicted values of the Shanghai stock index are mostly negative, and the difference between the actual values and predicted values of Shanghai bond index are mostly positive. The empirical results show that due to security transfer behaviors of investors, SARS has had a negative impact on Chinese stock markets, and a positive impact on bond markets.
出处 《电子科技大学学报(社科版)》 2013年第6期41-46,48,共7页 Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
关键词 非常规突发事件 股票市场 债券市场 ARIMA模型 unconventional emergencies stock market bond market ARIMA model
  • 相关文献

参考文献21

二级参考文献146

共引文献287

同被引文献41

  • 1区诗德,覃思乾.基于60分钟线的ARIMA模型分析日K线走势[J].统计与决策,2005,21(12X):145-146. 被引量:6
  • 2蒋涛,吴俊芳.ARIMA模型在基金指数预测中的应用[J].统计教育,2007(7):12-13. 被引量:8
  • 3潘虹宇.时间序列分析[M].北京:对外经济贸易大学出版社,2006.
  • 4查正洪.上证综合指数的统计分析与预测[J].上海海运学院报,1999(12):13-15.
  • 5GRANGER C W J, MORGENSTEN O. Predictability of Stock Market Price [ M ]. Heath: Lexington, 1970.
  • 6BOX GP E, JENKIS GM. Time Series Analysis:Forcasting and Control [ M ]. revised ed. San Francisco : Holden Day, 1978.
  • 7王燕.应用时间序列分析[M].2版.北京:中国人民大学出版社,2009:77-80.
  • 8王辉,潘家柱.金融时间序列分析[M].2版.北京:人民邮电出版社,2009:40-44.
  • 9RUEYSTSAY.金融数据分析导论一基于R语言[M].北京:机械工业出版社,2013:58-60.
  • 10易纲,范敏.人民币汇率的决定因素及走势分析[J].经济研究,1997,32(10):26-35. 被引量:280

引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部