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时变理性预期假说与过度反应假说——基于ANST-GARCH模型的国际证券市场实证检验 被引量:4

Empirical Study for the Time-Varying Rational Expectations Hypothesis or the Overreaction Hypothesis Based on ANST-GARCH Approach: International Stock Markets Evidence
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摘要 基于ANST-GARCH模型,我们利用美国、英国、日本和中国证券市场数据实证检验了时变理性预期假说,发现国际证券市场普遍存在非对称均值回归特征,非对称性源自投资主体对坏消息的过度反应和对好消息的反应不足,过度反应假说成立。同时,除日本以外的市场风险补偿具有时变特点,但预期收益与风险的正相关在利空消息冲击下并不成立,因此,结论不支持时变理性预期假说。 This paper empirically testes the Time-Varying Rational Expectations Hypothesis in US, UK, Japan and China stock markets based on asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models. The results illustrate that the asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors, which supports the Overreaction Hypothesis. Even though the risk premium is time-varying except in Nikkei, a bad information shock leads a positive relationship between expectation returns and risk can not be held, which could not support the Time-Varying Rational Expectations Hypothesis.
出处 《吉林大学社会科学学报》 CSSCI 北大核心 2006年第2期92-98,共7页 Jilin University Journal Social Sciences Edition
基金 国家自然科学基金项目(70573040) 国家社会科学基金项目(05BJY100) 教育部重点研究基地重大项目(05JJD790008)
关键词 时变理性预期假说 过度反应假说 ANST-GARCH模型 非对称均值回归 风险补偿 time-varying rational expectations hypothesis overreaction hypothesis ANST-GARCH model asymmetric mean-reversion risk premium
作者简介 丁志国(1968-),男,吉林延吉人,吉林大学数量经济研究中心暨吉林大学商学院讲师,经济学博士。
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