References
- Ahir, H., N. Bloom, and D. Furceri (2018). The world uncertainty index. Working paper. SSRN Working Paper.
- Altig, D., S. Baker, J. M. Barrero, N. Bloom, P. Bunn, S. Chen, P. Mizen, J. Leather, B. Meyer, and E. Mihaylov. 2020. Economic uncertainty before and during the COVID-19 pandemic. Journal of Public Economics 191:104274. doi:https://doi.org/10.1016/j.jpubeco.2020.104274.
- Antonakakis, N., and C. Floros. 2016. Dynamic interdependencies among the housing market, stock market, policy uncertainty and the macroeconomy in the United Kingdom. International Review of Financial Analysis 44:111–22. doi:https://doi.org/10.1016/j.irfa.2016.01.006.
- Baker, S. R., and N. Bloom (2013). Does uncertainty reduce growth? Using disasters as natural experiments. (No. w19475). National Bureau of Economic Research.
- Baker, S. R., N. Bloom, and S. J. Davis. 2016. Measuring economic policy uncertainty. The Quarterly Journal of Economics 131 (4):1593–636. doi:https://doi.org/10.1093/qje/qjw024.
- Baker, S. R., N. Bloom, S. J. Davis, K. Kost, M. Sammon, T. Viratyosin, and J. Pontiff. 2020. The unprecedented stock market reaction to COVID-19. The Review of Asset Pricing Studies 10 (4):742–58. doi:https://doi.org/10.1093/rapstu/raaa008.
- Bali, T. G., S. J. Brown, and Y. Tang. 2017. Is economic uncertainty priced in the cross-section of stock returns? Journal of Financial Economics 126 (3):471–89. doi:https://doi.org/10.1016/j.jfineco.2017.09.005.
- Balli, F., G. S. Uddin, H. Mudassar, and S. M. Yoon. 2017. Cross-country determinants of economic policy uncertainty spillovers. Economics Letters 156:179–83. doi:https://doi.org/10.1016/j.econlet.2017.05.016.
- Bekaert, G., M. Hoerova, and M. L. Duca. 2013. Risk, uncertainty and monetary policy. Journal of Monetary Economics 60 (7):771–88. doi:https://doi.org/10.1016/j.jmoneco.2013.06.003.
- Bloom, N. 2009. The impact of uncertainty shocks. Econometrica 77 (3):623–85.
- Bloom, N. 2014. Fluctuations in uncertainty. Journal of Economic Perspectives 28 (2):153–76. doi:https://doi.org/10.1257/jep.28.2.153.
- Bontempi, M. E., M. Frigeri, R. Golinelli, and M. Squadrani (2019). Uncertainty, perception and the internet. SSRN Working Paper.
- Bordo, M. D., J. V. Duca, and C. Koch. 2016. Economic policy uncertainty and the credit channel: aggregate and bank level US evidence over several decades. Journal of Financial Stability 26:90–106. doi:https://doi.org/10.1016/j.jfs.2016.07.002.
- Brogaard, J., and A. Detzel. 2015. The asset-pricing implications of government economic policy uncertainty. Management Science 61 (1):3–18. doi:https://doi.org/10.1287/mnsc.2014.2044.
- Caggiano, G., E. Castelnuovo, and N. Groshenny. 2014. Uncertainty shocks and unemployment dynamics in US recessions. Journal of Monetary Economics 67:78–92. doi:https://doi.org/10.1016/j.jmoneco.2014.07.006.
- Castelnuovo, E., and T. D. Tran. 2017. Google it up! A google trends-based uncertainty index for the United States and Australia. Economics Letters 161:149–53. doi:https://doi.org/10.1016/j.econlet.2017.09.032.
- Chan, J. T., and W. Zhong (2018). Reading China: predicting policy change with machine learning. SSRN Working Paper.
- Chang, C., K. Chen, D. F. Waggoner, and T. Zha. 2016. Trends and cycles in China’s macroeconomy. NBER Macroeconomics Annual 30 (1):1–84. doi:https://doi.org/10.1086/685949.
- Chen, A., and N. Groenewold. 2018. The regional effects of macroeconomic shocks in China. China Economic Review 48:139–54. doi:https://doi.org/10.1016/j.chieco.2015.12.003.
- Chen, A., and N. Groenewold. 2019. Macroeconomic shocks in China: do the distributional effects depend on the regional source? The Annals of Regional Science 62 (1):69–97. doi:https://doi.org/10.1007/s00168-018-0885-2.
- Chen, J., F. Jiang, and G. Tong. 2018. Economic policy uncertainty in China and stock market expected returns. Accounting & Finance 57 (5):1265–86. doi:https://doi.org/10.1111/acfi.12338.
- Chiou-Wei, S. Z., C. F. Chen, and Z. Zhu. 2008. Economic growth and energy consumption revisited—Evidence from linear and nonlinear Granger causality. Energy Economics 30 (6):3063–76. doi:https://doi.org/10.1016/j.eneco.2008.02.002.
- Cochrane, J. H. 2011. Presidential address: discount rates. The Journal of Finance 66 (4):1047–108. doi:https://doi.org/10.1111/j.1540-6261.2011.01671.x.
- Davis, S. J. (2016). An index of global economic policy uncertainty (No. w22740). National Bureau of Economic Research.
- Davis, S. J., D. Liu, and S. X. Sheng. (2019). Economic policy uncertainty in China since 1949: The view from mainland newspaper. Working paper.
- Diks, C., and V. Panchenko. 2006. A new statistic and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics and Control 30 (9–10):1647–69. doi:https://doi.org/10.1016/j.jedc.2005.08.008.
- Donadelli, M. 2015. Google search-based metrics, policy-related uncertainty and macroeconomic conditions. Applied Economics Letters 22 (10):801–07. doi:https://doi.org/10.1080/13504851.2014.978070.
- Donadelli, M., I. Gufler, and P. Pellizzari. 2020. The macro and asset pricing implications of rising Italian uncertainty: evidence from a novel news-based macroeconomic policy uncertainty index. Economics Letters 197:109606. doi:https://doi.org/10.1016/j.econlet.2020.109606.
- Donadelli, M., and L. Gerotto. 2019. Non-macro-based google searches, uncertainty, and real economic activity. Research in International Business and Finance 48:111–42. doi:https://doi.org/10.1016/j.ribaf.2018.12.007.
- Dzielinski, M. 2012. Measuring economic uncertainty and its impact on the stock market. Finance Research Letters 9 (3):167–75. doi:https://doi.org/10.1016/j.frl.2011.10.003.
- Ebrahim, M. S., and D. K. Nguyen. 2016. Evolving capital markets in the era of economic uncertainty. International Review of Financial Analysis 46:237–38. doi:https://doi.org/10.1016/j.irfa.2016.05.004.
- Enders, W. 1995. Applied econometric time series. New York: Wiley.
- Fang, X., Y. Jiang, and Z. Qian. 2014. The effects of individual investors’ attention on stock returns: evidence from the ChiNext market. Emerging Markets Finance and Trade 50 (sup3):158–68. doi:https://doi.org/10.2753/REE1540-496X5003S309.
- Fontaine, I., L. Didier, and J. Razafindravaosolonirina. 2017. Foreign policy uncertainty shocks and US macroeconomic activity: evidence from China. Economics Letters 155:121–25. doi:https://doi.org/10.1016/j.econlet.2017.03.034.
- Garnaut, R., L. Song, and C. Fang, Eds. 2018. China’s 40 years of reform and development: 1978-2018. ANU Press. doi:https://doi.org/10.22459/CYRD.07.2018
- Ghirelli, C., J. J. Pérez, and A. Urtasun. 2019. A new economic policy uncertainty index for Spain. Economics Letters. 182:64–67. Forthcoming. doi:https://doi.org/10.1016/j.econlet.2019.05.021.
- Han, Y., Z. Liu, and J. Ma. 2020. Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model. China Economic Review 63:101317.
- Handley, K., and N. Limão. 2017. Policy uncertainty, trade, and welfare: theory and evidence for China and the United States. American Economic Review 107 (9):2731–83. doi:https://doi.org/10.1257/aer.20141419.
- Hassan, T. A., S. Hollander, L. van Lent, and A. Tahoun. 2019. Firm-level political risk: measurement and effects. The Quarterly Journal of Economics 134 (4):2135–202. doi:https://doi.org/10.1093/qje/qjz021.
- Hiemstra, C., and J. D. Jones. 1994. Testing for linear and nonlinear Granger causality in the stock price-volume relation. The Journal of Finance 49 (5):1639–64.
- Hillier, D., and T. Loncan. 2019. Political uncertainty and stock returns: evidence from the Brazilian political crisis. Pacific-Basin Finance Journal 54:1–12. doi:https://doi.org/10.1016/j.pacfin.2019.01.004.
- Holz, C. A. 2014. The quality of China’s GDP statistics. China Economic Review 30:309–38. doi:https://doi.org/10.1016/j.chieco.2014.06.009.
- Huang, Y., and P. Luk. 2020. Measuring economic policy uncertainty in China. China Economic Review 59:101367. doi:https://doi.org/10.1016/j.chieco.2019.101367.
- Huang, Z., C. Tong, H. Qiu, and Y. Shen. 2018. The spillover of macroeconomic uncertainty between the US and China. Economics Letters 171:123–27. doi:https://doi.org/10.1016/j.econlet.2018.07.018.
- International Monetary Fund. 2012. World economic outlook: Coping with high debt and sluggish growth. Washington, DC: IMF Press. October.
- International Monetary Fund. 2013. World economic outlook: Hopes, realities, risks. Washington, DC: IMF Press. April.
- Iyke, B. N. 2020a. Economic policy uncertainty in times of COVID-19 pandemic. Asian Economics Letters 1 (2):17665.
- Iyke, B. N. 2020b. COVID-19: the reaction of US oil and gas producers to the pandemic. Energy Research Letters 1 (2):13912.
- Jordà, Ò. 2005. Estimation and inference of impulse responses by local projections. American Economic Review 95 (1):161–82. doi:https://doi.org/10.1257/0002828053828518.
- Jurado, K., S. C. Ludvigson, and S. Ng. 2015. Measuring uncertainty. American Economic Review 105 (3):1177–216. doi:https://doi.org/10.1257/aer.20131193.
- Kilian, L. 1998. Small-sample confidence intervals for impulse response functions. Review of Economics and Statistics 80 (2):218–30. doi:https://doi.org/10.1162/003465398557465.
- Klößner, S., and R. Sekkel. 2014. International spillovers of policy uncertainty. Economics Letters 124 (3):508–12. doi:https://doi.org/10.1016/j.econlet.2014.07.015.
- Knight, F. H. 1921. Risk, uncertainty, and profit, 210–35. Boston: Houghton Mifflin Co.
- Koch-Weser, I. N. (2013). The reliability of China’s economic data: an analysis of national output. US-China Economic and Security Review Commission Staff Research Project, 4.
- Kozeniauskas, N., A. Orlik, and L. Veldkamp. 2018. What are uncertainty shocks? Journal of Monetary Economics 100:1–15. doi:https://doi.org/10.1016/j.jmoneco.2018.06.004.
- Leduc, S., and Z. Liu. 2016. Uncertainty shocks are aggregate demand shocks. Journal of Monetary Economics 82:20–35. doi:https://doi.org/10.1016/j.jmoneco.2016.07.002.
- Li, C., H. Zheng, and Y. Liu. 2020. The hybrid regulatory regime in turbulent times: the role of the state in China’s stock market crisis in 2015-2016. Regulation & Governance. Forthcoming. doi: https://doi.org/10.1111/rego.12340.
- Liow, K. H., W. C. Liao, and Y. Huang. 2018. Dynamics of international spillovers and interaction: evidence from financial market stress and economic policy uncertainty. Economic Modelling 68:96–116. doi:https://doi.org/10.1016/j.econmod.2017.06.012.
- Liu, J., R. F. Stambaugh, and Y. Yuan. 2019. Size and value in China. Journal of Financial Economics 134 (1):48–69. doi:https://doi.org/10.1016/j.jfineco.2019.03.008.
- Luk, P., M. Cheng, P. Ng, and K. Wong. 2020. Economic policy uncertainty spillovers in small open economies: the case of Hong Kong. Pacific Economic Review 25 (1):21–46. doi:https://doi.org/10.1111/1468-0106.12283.
- Luukkonen, R., P. Saikkonen, and T. Teräsvirta. 1988. Testing linearity against smooth transition autoregressive models. Biometrika 75 (3):491–99. doi:https://doi.org/10.1093/biomet/75.3.491.
- Moore, A. 2017. Measuring economic uncertainty and its effects. Economic Record 93 (303):550–75. doi:https://doi.org/10.1111/1475-4932.12356.
- Nakamura, E., J. Steinsson, and M. Liu. 2016. Are Chinese growth and inflation too smooth? Evidence from Engel curves. American Economic Journal: Macroeconomics 8 (3):113–44.
- Narayan, P. K. 2020a. Has COVID-19 changed exchange rate resistance to shocks? Asian Economics Letters 1 (1):17389.
- Narayan, P. K. 2020b. Did bubble activity intensify during COVID-19. Asian Economics Letters 1 (2):17654.
- Pan, W. F., X. Wang, and S. Yang. 2019. Debt maturity, leverage, and political uncertainty. The North American Journal of Economics and Finance 50:100981. doi:https://doi.org/10.1016/j.najef.2019.04.024.
- Pástor, L., and P. Veronesi. 2012. Uncertainty about government policy and stock prices. The Journal of Finance 67 (4):1219–64. doi:https://doi.org/10.1111/j.1540-6261.2012.01746.x.
- Pástor, L., and P. Veronesi. 2013. Political uncertainty and risk premia. Journal of Financial Economics 110 (3):520–45. doi:https://doi.org/10.1016/j.jfineco.2013.08.007.
- Phan, D. H. B., B. N. Iyke, S. S. Sharma, and Y. Affandi. 2021. Economic policy uncertainty and financial stability–Is there a relation? Economic Modelling. 94:1018–1029.
- Phan, D. H. B., S. S. Sharma, and V. T. Tran. 2018. Can economic policy uncertainty predict stock returns? Global evidence. Journal of International Financial Markets, Institutions and Money 55:134–50. doi:https://doi.org/10.1016/j.intfin.2018.04.004.
- Qin, B., D. Strömberg, and Y. Wu. 2018. Media bias in China. American Economic Review 108 (9):2442–76. doi:https://doi.org/10.1257/aer.20170947.
- Rawski, T. G. 2001. What is happening to China’s GDP statistics? China Economic Review 12 (4):347–54. doi:https://doi.org/10.1016/S1043-951X(01)00062-1.
- Sharma, S. S. 2020. A note on the Asian market volatility during the COVID-19 pandemic. Asian Economics Letters 1 (2):17661.
- Shiller, R. 1981. Do stock prices move too much to be justified by subsequent changes in dividends? American Economic Review 71 (3):421–36.
- Toda, H. Y., and T. Yamamoto. 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66 (1–2):225–50. doi:https://doi.org/10.1016/0304-4076(94)01616-8.
- Wang, X., W. Xu, and Z. Zhong. 2019. Economic policy uncertainty, CDS spreads, and CDS liquidity provision. Journal of Futures Markets 39:461–80.
- Wang, Y., C. R. Chen, and Y. S. Huang. 2014. Economic policy uncertainty and corporate investment: evidence from China. Pacific-Basin Finance Journal 26:227–43. doi:https://doi.org/10.1016/j.pacfin.2013.12.008.
- World Bank. (2016). Weak investment in uncertain times, global economic prospects.
- You, J., B. Zhang, and L. Zhang. 2017. Who captures the power of the pen? The Review of Financial Studies 31 (1):43–96. doi:https://doi.org/10.1093/rfs/hhx055.
- Yuan, H. 2016. Measuring media bias in China. China Economic Review 38:49–59. doi:https://doi.org/10.1016/j.chieco.2015.11.011.
- Zhang, D., L. Lei, Q. Ji, and A. M. Kutan. 2019. Economic policy uncertainty in the US and China and their impact on the global markets. Economic Modelling 79:47–56. doi:https://doi.org/10.1016/j.econmod.2018.09.028.
- Zhang, W., D. Shen, Y. Zhang, and X. Xiong. 2013. Open source information, investor attention, and asset pricing. Economic Modelling 33:613–19. doi:https://doi.org/10.1016/j.econmod.2013.03.018.