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The Causal Relationship between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling-Window Approach


  • Xiao-lin Li

    () (Department of Finance, School of Economics and Management, Wuhan University, Wuhan, China)

  • Mehmet Balcilar

    () (Department of Economics, Eastern Mediterranean University, Famagusta, North Cyprus,via Mersin 10, Turkey)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

  • Tsangyao Chang

    () (Department of Finance, Feng Chia University, Taichung, Taiwan)


This paper examines the causal link between economic policy uncertainty and stock returns in China and India, using bootstrap Granger full-sample causality test and sub-sample rolling window estimation. We use monthly data covering from 1995:02 to 2013:02 for China and 2003:02-2013:02 for India. The bootstrap full-sample Granger causality test suggests no evidence of any causality between economic policy uncertainty and stock returns for the two countries. However, taking structural changes into account, we assess stability of parameters of the estimated vector autoregressive (VAR) models. We find both the short-run and long-run relationships between economic policy uncertainty and stock return estimated using full-sample data are unstable over the sample period. This suggests that full-sample causality tests cannot be relied upon. We turn to propose a time-varying (bootstrap) rolling window approach to revisit the dynamic causal relationship between the two variables. Using a rolling window of 24 months, we do find that there are bidirectional causal relationships between stock returns and EPU for several sub-periods in China and India. However, the association between EPU and stock returns is, in general, weak in these two emerging countries. These findings have important implications for policy makers as well as investors.

Suggested Citation

  • Xiao-lin Li & Mehmet Balcilar & Rangan Gupta & Tsangyao Chang, 2013. "The Causal Relationship between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling-Window Approach," Working Papers 201345, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201345

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    References listed on IDEAS

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    Cited by:

    1. Bonga-Bonga, Lumengo & Gupta, Rangan & Jooste, Charl, 2015. "The Macroeconomic Effects of Uncertainty Shocks in India - Gli effetti macroeconomici degli shock di incertezza in India," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(3), pages 373-383.
    2. Aye, Goodness C. & Balcilar, Mehmet & El Montasser, Ghassen & Gupta, Rangan & Manjez, Nangamso C., 2016. "Can debt ceiling and government shutdown predict us real stock returns? A bootstrap rolling window approach. - Gli effetti sui rendimenti azionari reali negli USA del tetto del debito pubblico e del b," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(1), pages 11-32.
    3. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2017. "Oil price shocks and policy uncertainty: New evidence on the effects of US and non-US oil production," Energy Economics, Elsevier, vol. 66(C), pages 536-546.
    4. Balcilar, Mehmet & Kutan, Ali M. & Yaya, Mehmet E., 2017. "Financial integration in small Islands: The case of Cyprus," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 201-219.
    5. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    6. Wensheng Kang & Ronald A. Ratti, 2015. "Oil shocks, policy uncertainty and stock returns in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(4), pages 657-676, October.
    7. Christina Christou & Rangan Gupta, 2016. "Forecasting Equity Premium in a Panel of OECD Countries: The Role of Economic Policy Uncertainty," Working Papers 201622, University of Pretoria, Department of Economics.
    8. Dakhlaoui, Imen & Aloui, Chaker, 2016. "The interactive relationship between the US economic policy uncertainty and BRIC stock markets," International Economics, Elsevier, vol. 146(C), pages 141-157.
    9. repec:rjr:romjef:v::y:2017:i:4:p:152-165 is not listed on IDEAS
    10. Wensheng Kang & Ronald A. Ratti, 2014. "Policy Uncertainty in China, Oil Shocks and Stock Returns," CAMA Working Papers 2014-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    12. Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017. "Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
    13. Sheung-Chi Chow & Juncal Cunado & Rangan Gupta & Wing-Keung Wong, 2016. "Causal Relationships between Economic Policy Uncertainty and Housing Market Returns in China and India: Evidence from Linear and Nonlinear Panel and Time Series Models," Working Papers 201674, University of Pretoria, Department of Economics.
    14. repec:eee:eneeco:v:68:y:2017:i:c:p:1-18 is not listed on IDEAS
    15. repec:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0407-1 is not listed on IDEAS
    16. repec:wsi:afexxx:v:12:y:2017:i:04:n:s2010495217500166 is not listed on IDEAS
    17. repec:eee:ecmode:v:68:y:2018:i:c:p:96-116 is not listed on IDEAS

    More about this item


    Economic Policy Uncertainty; Stock returns; Rolling Window; Bootstrap; Time-Varying Causality;

    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
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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