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Uncertainty and Manufacturing Stock Market in Korea

The Journal of Industrial Distribution & Business / The Journal of Industrial Distribution & Business, (E)2233-5382
2019, v.10 no.1, pp.29-37
https://doi.org/https://doi.org/10.13106/ijidb.2019.vol10.no1.29.
Jeon, Ji-Hong
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Abstract

Purpose - We study the dynamic linkages of the economic policy uncertainty (EPU) in the US on the manufacturing stock market returns in Korea. In detail, we examine the casual link between EPU index in the US and the manufacturing stock indexes in Korea. Research design, data, and methodology - We measure mainly the distribution effect of the US EPU on the manufacturing stock market in Korea of 1990-2017 by the vector error correction model (VECM). Result - In result, we estimate the impact of the US EPU index has significantly a negative response to the manufacturing stock market in Korea such as non-metal stock index, chemical stock index, food stock index, textile·clothes stock index, automobile·shipbuilding stock index, machinery stock index, steel·metal stock index. Also the remaining variables such as electric·electronics stock index, S&P 500, and producer price index in Korea have a negative relationship with US EPU index. Conclusions - We find out that the relationship between EPU index of the US and the manufacturing stock market in Korea has the negative relationships. We determine the EPU of the US has the spillover effect on the industry stock markets in Korea.

keywords
Manufacturing Stock Market, Economy Policy Uncertainty, VECM

Reference

1.

Abel, A. (1983). Optimal Investment under Uncertainty. American Economic Review, 73(1), 228–233.

2.

Antonakakis, N., Gupta, R., & Andre, C. (2015). Dynamic co-movements between economic policy uncertainty and housing market returns. Journal of Real Estate Portfolio Management, 21(1), 53-60.

3.

Bachmann, R., Elstner, S., & Sims, E. R. (2013). Uncertainty and Economic Activity: Evidence from Business Survey Data. American Economic Journal:Macroeconomics, 5(2), 217-249.

4.

Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring Economic Policy Uncertainty. Quarterly Journal of Economics, 131(4), 1593-1636.

5.

Beltratti, A., & Morana, C. (2010). International house prices and macroeconomic fluctuations. Journal of Banking & Finance, 34(3), 533-545.

6.

Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623-685.

7.

Bloom, N. (2014). Fluctuations in uncertainty. Journal of Economic Perspectives, 28(2), 153-176.

8.

Born, B., & Pfeifer, J. (2014). Policy risk and the business cycle. Journal of Monetary Economics, 68(1), 68-85.

9.

Choi, S., & Loungani, P. (2015). Uncertainty and unemployment: The effects of aggregate and sectoral channels. Journal of Macroeconomics, 46(1), 344-358.

10.

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276.

11.

Fernandez-Villaverde, J., Pablo, G., Keith, K., & Juan, R. (2015). Fiscal volatility shocks and economic activity. American Economic Review, 105(11), 3352–3384.

12.

Foster, L., Haltiwanger, J., & Krizan, C. J. (2006). Market Selection, Reallocation, and Restructuring in the U.S. Retail Trade Sector in the 1990s. Review of Economics and Statistics, 88(4), 748-758.

13.

Gourio, F., Siemer, M., & Verdelhan, A. (2013). International Risk Cycles. Journal of International Economics, 89(1), 471-484.

14.

He, Y. (2018). A study on the impact of China’s monetary policy on South Korea’s exchange rate. International Journal of Industrial Distribution &Business, 9(6), 17-24.

15.

Jeon, J. (2017). US Purchasing Managers’ Index and its impact on Korea and US. Journal of Distribution science, 15(3), 17-25.

16.

Jeon, J. (2018). The impact of Asian economic policy uncertainty: Evidence from Korean housing market. Journal of Asian Finance, Economics and Business, 5(2), 43-51.

17.

Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59(6), 1551-1580.

18.

Jurado, K., Ludvigson, S. C., & Ng, S. (2015). Measuring uncertainty. American Economic Review, 105(3), 1177-1216.

19.

Kang, W., & Ratti R. A. (2013), Structural oil price shocks and policy uncertainty. Economic Modelling, 35(1), 314-319.

20.

Leduc, S., & Liu, Z. (2016). Uncertainty shocks are aggregate demand shocks. Journal of Monetary Economics, 82(1), 20-35

21.

Lee, K. (2010). The Impact of International Financial Shocks on the Volatility of Domestic Financial Markets. Journal of Money & Finance, 24(4), 49-85.

22.

Meinen, P., & Roehe, O. (2017). On measuring uncertainty and its impact on investment: Cross-country evidence from the Euro area. European Economic Review, 92(1), 161-179.

23.

Morikawa, M. (2016). Business uncertainty and investment: Evidence from Japanese companies. Journal of Macroeconomics, 49, 224-236.

24.

Pantzalis, C., Stangeland. D. A., & Turtle, H. J. (2000). Political elections and the resolution of uncertainty: The international evidence. Journal of Banking and Finance, 24(10), 1575-1604.

25.

Warshaw, E. (2016). Parallel currency markets and the monetary exchange rate model: A VECM application to turney over 1987-1998. Eastern European Economics, 54, 473-488.

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