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Effect of Economic Policy Uncertainty on Stock Returns: Analysing the Moderating Role of Government Size

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  • Yunus Karaömer
  • Arif Eser Guzel

Abstract

This study investigates whether the response of stock returns to economic policy uncertainty de- pends on the level of government size in the economy. Although there is a consensus in the liter- ature that stock markets react negatively to policy-related uncertainties, the factors that determine the magnitude of this effect have been ignored. This study is the first to demonstrate that the magnitude of this effect depends on the size of the government in the economy. In the study, data for the period 1997Q1-2021Q4 pertaining to 18 countries are used. According to results of fixed-effects estimations with Driscoll-Kraay robust standard errors, economic policy uncer- tainty affects stock returns negatively. In addition, the coefficient of interaction term formed by the variables of policy uncertainty and government size is also negative and significant. These results indicate that the negative response of stock returns to policy uncertainty grows as gov- ernment size increases. The sensitivity analysis results show that the findings are not sensitive to the estimations made by alternative approaches and are therefore robust. The findings of the study contain important implications for policymakers. Investors can also benefit from the results at the point of international asset allocation against future policy-related uncertainties.

Suggested Citation

  • Yunus Karaömer & Arif Eser Guzel, 2024. "Effect of Economic Policy Uncertainty on Stock Returns: Analysing the Moderating Role of Government Size," Politická ekonomie, Prague University of Economics and Business, vol. 2024(1), pages 50-72.
  • Handle: RePEc:prg:jnlpol:v:2024:y:2024:i:1:id:1407:p:50-72
    DOI: 10.18267/j.polek.1407
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    References listed on IDEAS

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    1. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    5. Ko, Jun-Hyung & Lee, Chang-Min, 2015. "International economic policy uncertainty and stock prices: Wavelet approach," Economics Letters, Elsevier, vol. 134(C), pages 118-122.
    6. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    7. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    8. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    9. David Dequech, 2011. "Uncertainty: A Typology and Refinements of Existing Concepts," Journal of Economic Issues, Taylor & Francis Journals, vol. 45(3), pages 621-640.
    10. Das, Debojyoti & Kumar, Surya Bhushan, 2018. "International economic policy uncertainty and stock prices revisited: Multiple and Partial wavelet approach," Economics Letters, Elsevier, vol. 164(C), pages 100-108.
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    More about this item

    Keywords

    Economic policy uncertainty; stock returns; government size; moderating effect; Driscoll-Kraay robust standard errors;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

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