Aggregate Skewness and the Business Cycle

Martin Iseringhausen, Ivan Petrella, Konstantinos Theodoridis
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Abstract

Abstract We develop a data-rich measure of expected macroeconomic skewness in the US economy. Expected macroeconomic skewness is strongly procyclical, mainly reflects the cyclicality in the skewness of real variables, is highly correlated with the cross-sectional skewness of firm-level employment growth, and is distinct from financial market skewness. Revisions in expected skewness lead to business cycle fluctuations nearly indistinguishable from those induced by the main business cycle shock of Angeletos et al. (2020). This result is robust to controlling for macroeconomic volatility and uncertainty, and alternative macroeconomic shocks. Our findings suggest an important role of higher-order dynamics for business cycle theories.
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总体偏度与商业周期
我们开发了一种数据丰富的衡量美国经济预期宏观经济偏度的方法。预期宏观经济偏度具有较强的顺周期性,主要反映实际变量偏度的周期性,与企业层面就业增长的横截面偏度高度相关,与金融市场偏度有明显区别。对预期偏度的修正导致商业周期波动与Angeletos等人(2020)的主要商业周期冲击所引起的波动几乎无法区分。该结果对于控制宏观经济波动和不确定性以及可选的宏观经济冲击具有鲁棒性。我们的研究结果表明,高阶动力学对经济周期理论具有重要作用。
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