利用分量 GARCH 模型研究国际股票市场的跨期风险收益关系

Hui Guo, Christopher J. Neely
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引用次数: 90

摘要

我们使用 GARCH 组成模型和国际摩根斯坦利资本国际公司(MSCI)股市每日数据重新研究了风险收益关系。与之前通过周度和月度数据获得的证据不同,日度数据显示,几乎所有市场的风险收益关系都是正的,而且往往在统计意义上是显著的。似然比检验否定了标准 GARCH 模型,而采用了成分 GARCH 模型,这加强了风险收益权衡为正的证据。与美国的证据一致,在大多数国际市场上,波动率的长期部分比短期部分对条件股票溢价的决定作用更大。
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Investigating the Intertemporal Risk-Return Relation in International Stock Markets with the Component GARCH Model
We revisit the risk-return relation using the component GARCH model and international daily MSCI stock market data. In contrast with the previous evidence obtained from weekly and monthly data, daily data show that the relation is positive in almost all markets and often statistically significant. Likelihood ratio tests reject the standard GARCH model in favor of the component GARCH model, which strengthens the evidence for a positive risk-return tradeoff. Consistent with U.S. evidence, the long-run component of volatility is a more important determinant of the conditional equity premium than the short-run component for most international markets.
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