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Sectoral Response to Economic Policy Uncertainty in Japan: An Empirical Evidence from the Cross-Quantilogram Approach

Author

Listed:
  • Naveed Khan

    (International Islamic University Islamabad (IIUI), Faculty of Management Sciences)

  • Hassan Zada

    (Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST, University) Islamabad, Department of Management Sciences)

  • Ozair Siddiqui

    (International Islamic University Islamabad (IIUI), Faculty of Management Sciences)

  • Ehsan Ullah

    (Ural Federal University, Graduate School of Economics and Management)

Abstract

The purpose of this study is to investigate the responses of sector economic activity of the Japanese stock market to Economic Policy Uncertainty (EPU). To investigate this relationship, we take monthly data covering ten sectors of Japan’s economy and the EPU index spanning from January 2000 to January 2024. For the empirical analysis, we used a recently introduced approach, namely Cross-Quantilogram (CQ), and Quantile-on-Quantile Regression (QQR) for the robustness of the estimation output. Our findings indicate that EPU transmits negative and positive shocks to the Japanese sectors from bearish to bullish market states. Surprisingly, at the bearish state, we find that sector stocks respond negatively to the higher quantiles of EPU under short memory. Moreover, we also observed that EPU transmits a weak positive signal to sectors at medium quantiles. Similarly, we report a less pronounced effect of EPU on different sectors considering different memories (quarterly, bi-annual, and annual). Furthermore, our findings indicate that some sectors could serve as diversifiers in normal market conditions and are considered to be safe-haven against the EPU in bearish periods of economic activity. Our research has profound implications for portfolio managers, policy makers, and investors in terms of ensuring proactive strategies and regulatory measures.

Suggested Citation

  • Naveed Khan & Hassan Zada & Ozair Siddiqui & Ehsan Ullah, 2025. "Sectoral Response to Economic Policy Uncertainty in Japan: An Empirical Evidence from the Cross-Quantilogram Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 4727-4762, December.
  • Handle: RePEc:kap:compec:v:66:y:2025:i:6:d:10.1007_s10614-025-10867-7
    DOI: 10.1007/s10614-025-10867-7
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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