Author:
Jing Xiaozhen,Xu Dezhong,Li Bin,Singh Tarlok
Abstract
AbstractWe propose a new predictor—the innovation in the daily return minimum in the U.S. stock market ($$\Delta {MIN}^{US}$$
Δ
MIN
US
)—for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to July 2022, we find that $$\Delta {MIN}^{US}$$
Δ
MIN
US
have strong predictive power for returns in most international stock markets:$$\Delta {MIN}^{US}$$
Δ
MIN
US
negatively predicts the next-month stock market returns. The results remain robust after controlling for a number of macroeconomic predictors and conducting subsample and panel data analyses, indicating that $$\Delta {MIN}^{US}$$
Δ
MIN
US
has significant predictive power and it outperforms other variables in international markets. Notably, $$\Delta {MIN}^{US}$$
Δ
MIN
US
demonstrates excellent predictive power even during the periods driven by financial upheavals (e.g., Global Financial Crisis and European Sovereign Debt Crisis). Both panel regressions and out-of-sample tests also support the robust predictive performance of $$\Delta {MIN}^{US}$$
Δ
MIN
US
. The predictive power, however, disappears during the non-financial crisis caused by COVID-19 pandemic, which is originated from the health sector rather than the financial sector. The results provide a new perspective on U.S. extreme indicator in stock market return predictability.
Publisher
Springer Science and Business Media LLC
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