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Markov Switching Regime Models and Empirical Study

Abstract

资产定价理论表明预测收益与时变风险报酬、随机理性泡沫、学习机制呈现出非线性的结构,用于捕捉这种结构的一种灵活模型就是离散混合分布,它具有时变条件均值和条件方差,是尖峰厚尾的分布,详见Timmermann(2000)。该类模型中应用最广泛的是Hamilton(1989)提出的马尔可夫体制转换模型。Hamilton模型及其推广成功地对大量的宏观经济数据、金融市场数据进行了分析,合理地考虑了体制变化,消除了伪高度波动持续性,成功地识别了重要的事件,得到较优的预测表现。本文将对体制转换GARCH模型做适当地改进及修正平滑概率算法,用以对上证综合指数和深圳成分指数进行实证分析,描述中国股票市场的体制变化...Asset-pricing Theory show that forecast returns,time-varying risk premium,stochastic bubbles,learning mechanism,etc., present nonlinear structure.A flexible method to capture it is to introduce discrete mixture of distributions,which has time-varying conditional mean and variance and leptokurtic unconditional distribution.And Markov-switching regime model proposed by Hamilton is popularly adopted....学位:理学硕士院系专业:数学系_概率论与数理统计学号:20012302

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