基于面板数据方法的时变CAPM贝叶斯动态线性模型

Xiang Yunfan
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引用次数: 0

摘要

利用贝叶斯动态线性模型和面板数据方法分析了资本资产定价模型中贝塔系数的动态性和时变性。将测量方程和状态方程的方差矩阵视为未知,采用马尔可夫链蒙特卡罗和吉布斯采样技术进行模拟和估计。平滑滤波估计的结果表明,商业银行的股价波动低于非商业银行金融机构的股价波动。在大多数均值为零的时期,时变贝塔值在上行市场为正,在下行市场为负。
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Notice of RetractionBayesian dynamic linear model on time-varying CAPM with panel data methods
Dynamic and time-varying of Beta in capital asset pricing model is analysis using Bayesian dynamic linear model and panel data methods. The variance matrix of both measure equation and state equation were considered as unknown and markov chain monte carlo and gibbs sampling technology were used to simulate and estimate. The results estimated with smooth filter indicated that volatility of commercial banks' stock prices was lower than those of non-commercial bank financial institutes. The value of time-varying beta is positive in up market and negative in downside market in most of periods with zero mean value.
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