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STOCK MARKET VOLATILITY AND MACROECONOMIC FUNDAMENTALS

机译:股票市场的波动性和宏观经济基本面

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摘要

We revisit the relation between stock market volatility and macroeconomic activity using a new class of component models that distinguish short-run from long-run movements. We formulate models with the long-term component driven by inflation and industrial production growth that are in terms of pseudo out-of-sample prediction for horizons of one quarter at par or outperform more traditional time series volatility models at longer horizons. Hence, imputing economic fundamentals into volatility models pays off in terms of long-horizon forecasting. We also find that macroeconomic fundamentals play a significant role even at short horizons.
机译:我们使用一类新的成分模型重新审视了股票市场的波动性与宏观经济活动之间的关系,该模型将短期和长期运动区分开来。我们以通货膨胀和工业生产增长为驱动力的长期成分来制定模型,这些模型是针对四分之一水平的准虚拟假样本预测,或在更长的水平上优于传统的时间序列波动性模型。因此,将经济基本面纳入波动率模型将获得长期预测。我们还发现,即使在短期内,宏观经济基本面也发挥着重要作用。

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