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Does the U.S. extreme indicator matter in stock markets? International evidence

Author

Listed:
  • Xiaozhen Jing

    (Griffith University)

  • Dezhong Xu

    (Griffith University)

  • Bin Li

    (Griffith University)

  • Tarlok Singh

    (Griffith University)

Abstract

We 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.

Suggested Citation

  • Xiaozhen Jing & Dezhong Xu & Bin Li & Tarlok Singh, 2024. "Does the U.S. extreme indicator matter in stock markets? International evidence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-27, December.
  • Handle: RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-024-00610-w
    DOI: 10.1186/s40854-024-00610-w
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    More about this item

    Keywords

    Return predictability; Innovation in extreme minimum; International stock markets; Financial crisis;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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