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经济增长、居民储蓄与股票交易量之间的联动效应 被引量:8

The Interactive Relationship of Economic Growth,Residents Saving and Stock Trading Volume
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摘要 股市的发展和一国的经济增长和居民储蓄存款有着密切的关系,然而三者之间的影响关系如何。本文通过计量经济学中VAR模型以及脉冲响应函数,对它们之间的关系进行测量,得到三者之间存在长期均衡关系:就长期而言,对经济增长和居民储蓄的一个冲击对股票交易量的变化有明显的影响;股票交易量80%的增长依靠于经济增长和居民储蓄,而股市自身的发展对股票交易量的影响只占到20%左右。 The development of stock market has a close relationship with economic growth and residents saving, but what is the relationship among them. In this paper, VAR model and impulse response function are applied to measure the interactive relationship. It finds that they have long term equilibrium relationships: In long term, the impact of economic growth and residents saving have significant effect; 80% stock trading volume growth rely on economic growth and residents savings, but the development of stock market trading volume itself accounts for only 20%.
作者 康萌萌
出处 《统计教育》 2009年第1期14-17,共4页 Statistical education
关键词 股市交易量 VAR模型 脉冲响应函数 方差分解 Stock trading volume VAR model impulse response function variance decomposition
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  • 1刘家树,董梅生.股权分置改革对上证指数影响的干预分析[J].东方企业文化,2007(2):74-75. 被引量:1
  • 2Marilyn K Wiley, Robert T Daigler. A Bivariate GARCH Approach to the Futures Volume-volatility Issue[M]. Presented at the Eastern Finance Association Meetings, Miami Beach, Florida, April, 1999.
  • 3Karpoffm J M. The relation between price changes and trading volume: A survey[J]. Journal of Financial and Quantitative Analysis, 1987,22 (1): 109-126.
  • 4王春峰.金融风险管理[M].天津大学出版社,2001.
  • 5Engle R F, Lilien D M, Robins R P. Estimating time varying risk premia in the term structure: the ARCH-m model[J]. Econometrica, 1987,55 (2) : 391-407.
  • 6Lamoureux C G, Lastrapes W D. Heteroskedasticity in stock return data: volume versus GARCH effects[J]. Journal of Finance, 1990, XLV(1) : 221-229.
  • 7Hendrik Bessembinder, Paul J Seguin. Price volatility, trading volume, and market depth: Evidence from Future markets[J]. Journal of Financial and Quantitative analysis, 1993,28(1) : 21-39.
  • 8卢万青,沈培喜.格兰杰因果检验在我国经济周期研究中的应用[J].统计研究,2002,19(2):47-50. 被引量:63

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