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The equity premium follows a pronounced v-shape pattern around the beginning of recessions. It sharply drops into negative territory just before business cycle peaks and then strongly recovers as the recession unfolds. Recessions are preceded by an inverted yield curve. Thus probit models using...
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This paper adopts a novel approach to studying the evolution of interest rate term structure over the U.S. business cycles and to predicting recessions. Applying an effective algorithm, I classify the Treasury yield curve into distinct shapes and find the less frequent shapes intrinsically...
Persistent link: https://www.econbiz.de/10012886359
A single factor that captures assets' exposure to business-cycle variation in macroeconomic uncertainty can explain the level and cross-sectional differences of asset returns. Specifically, based on portfolio-level tests I demonstrate that fluctuations in uncertainty with persistence ranging...
Persistent link: https://www.econbiz.de/10014133052
We show that a business-cycle component of consumption growth (dubbed business-cycle consumption) with cycles between 2 and 4 years is effective in explaining the differences in risk premia across alternative test assets, including recently-proposed anomaly portfolios. We formalize the mapping...
Persistent link: https://www.econbiz.de/10012856904
Based on monthly data covering the period from 1987 to 2019, we analyse whether cross-sectional moments of stock market returns may provide information about the future position of the German business cycle. We apply in-sample forecasting regressions with and without leading indicators as...
Persistent link: https://www.econbiz.de/10013290016
Using U.S. data from 1926 to 2015, I show that financial skewness?a measure comparing cross-sectional upside and downside risks of the distribution of stock market returns of financial firms?is a powerful predictor of business cycle fluctuations. I then show that shocks to financial skewness are...
Persistent link: https://www.econbiz.de/10014115594
recession estimation by applying a fuzzy c-means clustering algorithm on a large macroeconomic dataset from the United States …
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