Prague Economic Papers 2020, 29(1):53-66 | DOI: 10.18267/j.pep.725

Impacts of Global-Economic-Policy Uncertainty on Emerging Stock Market: Evidence from Linear and Non-Linear Models

Mohammad Enamul Hoquea, Mohd Azlan Shah Zaidib
a UKM-Graduate School of Business, Universiti Kebangsaan Malaysia (The National University of Malaysia), Malaysia
b Universiti Kebangsaan Malaysia (The National University of Malaysia), Faculty of Economics and Management, Malaysia

Global economic policy uncertainty (GEPU) is one of important phenomena in the global economy; it can impact on the overall economic performance and stock market per-formance, regardless of the status of the world economy. Thus, this paper empirically investigates the impact of global economic policy uncertainty on the Malaysian stock market over the period from 10:2003 to 2017:03. Using the GARCH model, the study demonstrates that global policy uncertainty affects the Malaysian stock market negatively. Similarly, the SVAR model also shows results consistent with the GARCH estimation. Nevertheless, the Markov switching estimation uncovers that global policy uncertainty has negative impacts on stock market performance in both low and high volatile market states. The impact is, however, greater during the high volatile state. Hence, the relationship between global economic policy uncertainty and stock market returns tends to be asymmetric. The overall empirical results infer that global economic policy uncertainty has some implications for asset pricing.

Keywords: Global economic policy uncertainty, GARCH, Markov switching, Malaysia, stock market
JEL classification: C58, E32, E37, E44, E52, E62, F50, F65, G10

Received: January 20, 2018; Accepted: January 24, 2019; Prepublished online: September 24, 2019; Published: February 25, 2020  Show citation

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Hoque, M.E., & Azlan Shah Zaidi, M. (2020). Impacts of Global-Economic-Policy Uncertainty on Emerging Stock Market: Evidence from Linear and Non-Linear Models. Prague Economic Papers29(1), 53-66. doi: 10.18267/j.pep.725
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References

  1. Aastveit, K. A., Natvik, G. J., Sola, S. (2017). Economic Uncertainty and the Influence of Monetary Policy. Journal of International Money and Finance, 76, 50-67, https://doi.org/10.1016/j.jimonfin.2017.05.003 Go to original source...
  2. Abaidoo, R., Abaidoo, R., Ellis, F., Ellis, F. (2016). Macroeconomic Uncertainty and "Global" Economic Performance: A Comparative Analysis of the "Economic Contagion" Phenomenon. Journal of Financial Economic Policy, 8(4), 426-442, https://doi.org/10.1108/jfep-11-2015-0066 Go to original source...
  3. Andreasson, P., Bekiros, S., Nguyen, D. K., Uddin, G. S. (2016). Impact of Speculation and Economic Uncertainty on Commodity Markets. International Review of Financial Analysis, 43, 115-127, https://doi.org/10.1016/j.irfa.2015.11.005 Go to original source...
  4. Antonakakis, N., Chatziantoniou, I., Filis, G. (2013). Dynamic Co-movements of Stock Market Returns, Implied Volatility and Policy Uncertainty. Economics Letters, 120(1), 87-92, https://doi.org/10.1016/j.econlet.2013.04.004 Go to original source...
  5. Antonakakis, N., Chatziantoniou, I., Filis, G. (2014). Dynamic Spillovers of Oil Price Shocks and Economic Policy Uncertainty. Energy Economics, 44, 433-447, https://doi.org/10.1016/j.eneco.2014.05.007 Go to original source...
  6. Arouri, M., Estay, C., Rault, C., Roubaud, D. (2016). Economic Policy Uncertainty and Stock Markets: Long-run Evidence from the US. Finance Research Letters, 18,136-141, https://doi.org/10.1016/j.frl.2016.04.011 Go to original source...
  7. Basher, S. A., Haug, A. A., Sadorsky, P. (2018). The Impact of Oil-market Shocks on stock Returns in Major Oil-exporting Countries. Journal of International Money and Finance, 86, 264-280, https://doi.org/10.1016/j.jimonfin.2018.05.003 Go to original source...
  8. Belo, F., Gala, V. D., Li, J. (2013). Government Spending, Political Cycles, and the Cross Section of Stock Returns. Journal of Financial Economics, 107(2), 305-324, https://doi.org/10.1016/j.jfineco.2012.08.016 Go to original source...
  9. Bijsterbosch, M., Guérin, P. (2013). Characterizing Very High Uncertainty Episodes. Economics Letters, 121(2), 239-243, https://doi.org/10.1016/j.econlet.2013.08.005 Go to original source...
  10. Bloom, N. (2009). The Impact of Uncertainty Shocks. Econometrica, 77(3), 623-685, https://doi.org/10.3982/ecta6248 Go to original source...
  11. Bloom, N., Davis, S. J. (2016). Measuring Economic Policy Uncertainty. Quart. J. Econ, 131(4). Go to original source...
  12. Brogaard, J., Detzel, A. (2015). The Asset-pricing Implications of Government Economic Policy Uncertainty. Management Science, 61(1), 3-18, https://doi.org/10.1287/mnsc.2014.2044 Go to original source...
  13. Chang, T., Chen, W.Y., Gupta, R., Nguyen, D. K. (2015). Are Stock Prices Related to the Political Uncertainty Index in OECD Countries? Evidence from the Bootstrap Panel Causality Test. Economic Systems, 39(2), 288-300, https://doi.org/10.1016/j.ecosys.2014.10.005 Go to original source...
  14. Dakhlaoui, I., Aloui, C. (2016). The Interactive Relationship between the US Economic Policy Uncertainty and BRIC Stock Markets. International Economics, 146, 141-157, https://doi.org/10.1016/j.inteco.2015.12.002 Go to original source...
  15. Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica: Journal of the Econometric Society, 57(2), 357-384, https://doi.org/10.2307/1912559 Go to original source...
  16. Hamilton, J. D. (2010). Regime Switching Models, in Durlauf, S. N., Blume, L. E., eds., Macroeconometrics and Time Series Analysis. London: Palgrave Macmillan, pp. 202-209, https://doi.org/10.1057/9780230280830 Go to original source...
  17. Janor, H., Abdul-Rahman, A., Housseinidoust, E., Rahim, R. A. (2013). Oil Price Fluctuations and Firm Performance in an Emerging Market: Assessing Volatility and Asymmetric Effect. Journal of Economics, Business, and Management, 1(4), 385-390, https://doi.org/10.7763/joebm.2013.v1.83 Go to original source...
  18. Kang, W., de Gracia, F. P., Ratti, R. A. (2017a). Oil Price Shocks, Policy Uncertainty, and Stock Returns of Oil and Gas Corporations. Journal of International Money and Finance, 70, pp. 344-359, https://doi.org/10.1016/j.jimonfin.2016.10.003 Go to original source...
  19. Kang, W., Ratti, R. A., Vespignani, J. L. (2017b). Oil Price Shocks and Policy Uncertainty: New Evidence on the Effects of US and non-US Oil Production. Energy Economics, 66, 536-546, https://doi.org/10.1016/j.eneco.2017.01.027 Go to original source...
  20. Kang, W., Ratti, R. A. (2015). Oil Shocks, Policy Uncertainty and Stock Returns in China. Economics of Transition, 23(4), 657-676, https://doi.org/10.1111/ecot.12062 Go to original source...
  21. Kang, W., Ratti, R. A. (2013). Oil Shocks, Policy Uncertainty and Stock Market Return. Journal of International Financial Markets, Institutions and Money, 26, 305-318, https://doi.org/10.1016/j.intfin.2013.07.001 Go to original source...
  22. Ko, J. H., Lee, C. M. (2015). International Economic Policy Uncertainty and Stock Prices: Wavelet Approach. Economics Letters, 134, 118-122, https://doi.org/10.1016/j.econlet.2015.07.012 Go to original source...
  23. Liu, L., Zhang, T. (2015). Economic Policy Uncertainty and Stock Market Volatility. Finance Research Letters, 15, 99-105, https://doi.org/10.1016/j.frl.2015.08.009 Go to original source...
  24. Nordin, N., Nordin, S., Ismail, R. (2014). The Impact of Commodity Prices, Interest Rate, Exchange Rate on Stock Market Performance: An Empirical Analysis from Malaysia. Malaysian Management Journal, 18, 39-52.
  25. Reboredo, J. C., Uddin, G. S. (2016). Do Financial Stress and Policy Uncertainty have an Impact on the Energy and Metals Markets? A Quantile Regression Approach. International Review of Economics and Finance, 43, 284-298, https://doi.org/10.1016/j.iref.2015.10.043 Go to original source...
  26. Scheffel, E. M. (2016). Accounting for the Political Uncertainty Factor. Journal of Applied Econometrics, 31(6), 1048-1064, https://doi.org/10.1002/jae.2455 Go to original source...
  27. Sum, V. (2012). Economic Policy Uncertainty and Stock Market Performance: Evidence from the European Union, Croatia, Norway, Russia, Switzerland, Turkey and Ukraine. Journal of Money, Investment and Banking, 25, 99-104. Go to original source...
  28. Sum, V. (2013). The ASEAN Stock Market Performance and Economic Policy Uncertainty in the United States. Economic Papers: A Journal of Applied Economics and Policy, 32(4), 512-521, https://doi.org/10.1111/1759-3441.12049 Go to original source...
  29. Tsai, I. C. (2017). The Source of Global Stock Market Risk: A Viewpoint of Economic Policy Uncertainty. Economic Modelling, 60, 122-131, https://doi.org/10.1016/j.econmod.2016.09.002 Go to original source...
  30. Wang, Y., Chen, C. R., Huang, Y. S. (2014). Economic Policy Uncertainty and Corporate Investment: Evidence from China. Pacific-Basin Finance Journal, 26, 227-243, https://doi.org/10.1016/j.pacfin.2013.12.008 Go to original source...
  31. Wang, Y., Zhang, B., Diao, X., Wu, C. (2015). Commodity Price Changes and the Predictability of Economic Policy Uncertainty. Economics Letters, 127, 39-42, https://doi.org/10.1016/j.econlet.2014.12.030 Go to original source...
  32. Zhang, G., Han, J., Pan, Z., Huang, H. (2015). Economic Policy Uncertainty and Capital Structure Choice: Evidence from China. Economic Systems, 39(3), 439-457, https://doi.org/10.1016/j.ecosys.2015.06.003 Go to original source...
  33. Zhu, H., Su, X., You, W., Ren, Y. (2017). Asymmetric Effects of Oil Price Shocks on Stock Returns: Evidence from a Two-stage Markov Regime-switching Approach. Applied Economics, 49(25), 2491-2507, https://doi.org/10.1080/00036846.2016.1240351 Go to original source...

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