Global Bad and Good Uncertainties and Their Impact on Macro Aggregates and Stock Returns

Michael Semenischev
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引用次数: 1

Abstract

This paper estimates global bad and good uncertainties from monthly data on industrial production from a large set of countries. Bad and good uncertainties have opposite effects on macro aggregates and stock returns. An increase in bad uncertainty adversely impacts both, while an increase in good uncertainty has positive effects. This holds for many considered countries. Furthermore, global uncertainties help to explain stock returns in the cross-section. The pricing performance of the global CAPM and two-factor model of Fama and French (1998) always improve if the pricing factors are scaled with global uncertainties. Bad uncertainty is important in conomic distress times. In contrast, good uncertainty helps to explain returns in calm times. Overall, the results highlight the opposite effect of bad and good uncertainty and show that both are key drivers of real economies and financial markets.
全球好坏不确定性及其对宏观总量和股票收益的影响
本文从大量国家的月度工业生产数据中估计出全球好坏的不确定性。好坏不确定性对宏观总量和股票收益的影响相反。不利不确定性的增加对两者都有不利影响,而有利不确定性的增加则有积极影响。这适用于许多考虑周全的国家。此外,全球不确定性有助于解释横截面上的股票收益。Fama和French(1998)的全球CAPM和双因素模型在考虑全球不确定性的情况下,其定价绩效总是提高的。在经济困难时期,糟糕的不确定性很重要。相比之下,良好的不确定性有助于解释平静时期的回报。总体而言,研究结果突出了好坏不确定性的相反影响,并表明两者都是实体经济和金融市场的关键驱动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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