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Testing for expected return and market price of risk in Chinese A and B share markets: A geometric Brownian motion and multivariate GARCH model approach

机译:测试中国A股和B股市场的预期收益率和风险市场价格:几何布朗运动和多元GARCH模型方法

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摘要

There exist dual listed stocks which are issued by the same company in some stock markets. Although these stocks bare the same firm-specific risks and enjoy identical dividends and voting policies, they are priced differently. Some previous studies show this seeming deviation from the law of one price can be solved by allowing different expected returns and market prices of risk for investors holding heterogeneous beliefs. This paper provides empirical evidence for that argument by testing the expected return and market price of risk between Chinese A and B shares listed in Shanghai and Shenzhen stock markets. Models with dynamic of Geometric Brownian Motion are adopted. Multivariate GARCH models are also introduced to capture the feature of time-varying volatility in stock returns. The results suggest that the different pricing can be explained by the difference in expected returns between A and B shares. However, the difference between market price of risk is insignificant for both markets if GARCH models are adopted.
机译:在某些股票市场上存在由同一公司发行的双重上市股票。尽管这些股票承担着相同的公司特定风险,并享有相同的股息和投票政策,但它们的价格却有所不同。先前的一些研究表明,通过为持有异类信念的投资者提供不同的预期收益和风险的市场价格,可以解决这种似乎偏离一个价格定律的问题。本文通过测试在上海和深圳股市上市的中国A股和B股之间的预期收益率和风险市场价格,为该论点提供了经验证据。采用具有几何布朗运动的动力学模型。还引入了多元GARCH模型来捕获股票收益率随时间变化的波动特征。结果表明,不同的定价可以用A股和B股之间的预期收益差异来解释。但是,如果采用GARCH模型,则两个市场的风险市场价格之间的差异均很小。

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