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Can US economic variables predict the Chinese stock market?

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  • Goh, Jeremy C.
  • Jiang, Fuwei
  • Tu, Jun
  • Wang, Yuchen

Abstract

In the last few decades, we observed a significant increase in global economic activities and these activities may have an impact on both China's economy and stock market. Given the potential impact, we empirically examine whether US economic variables are leading indicators of the Chinese stock market. Prior to China joining the World Trade Organization (WTO) in the end of 2001, we find no statistical relationship between US economic variables and the Chinese stock market returns. However, we find US economic variables have statistically significant predictive power for periods after China's admission into the WTO. In addition, we show that the combination of US and China economic variables is more superior in terms of forecasting ability than either single country economic variables. These findings are of economic importance from an investment perspective.

Suggested Citation

  • Goh, Jeremy C. & Jiang, Fuwei & Tu, Jun & Wang, Yuchen, 2013. "Can US economic variables predict the Chinese stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 69-87.
    • Handle: RePEc:eee:pacfin:v:22:y:2013:i:c:p:69-87
    DOI: 10.1016/j.pacfin.2012.10.002
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    as
    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Wayne E. Ferson & Campbell R. Harvey, 1999. "Conditioning Variables and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 54(4), pages 1325-1360, August.
    3. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    4. Wang, Steven Shuye & Firth, Michael, 2004. "Do bears and bulls swim across oceans? Market information transmission between greater China and the rest of the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(3), pages 235-254, July.
    5. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    6. Brian H. Boyer & Tomomi Kumagai & Kathy Yuan, 2006. "How Do Crises Spread? Evidence from Accessible and Inaccessible Stock Indices," Journal of Finance, American Finance Association, vol. 61(2), pages 957-1003, April.
    7. Gary Gang Tian, 2007. "Are Chinese Stock Markets Increasing Integration With Other Markets In The Greater China Region And Other Major Markets?," Australian Economic Papers, Wiley Blackwell, vol. 46(3), pages 240-253, September.
    8. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    9. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    10. David H. Romer & Jeffrey A. Frankel, 1999. "Does Trade Cause Growth?," American Economic Review, American Economic Association, vol. 89(3), pages 379-399, June.
    11. Kandel, Shmuel & Stambaugh, Robert F, 1996. "On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June.
    12. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    13. Xu, Yexiao, 2004. "Small levels of predictability and large economic gains," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 247-275, March.
    14. Mr. Nicolas R Blancher & Mr. Thomas Rumbaugh, 2004. "China: International Trade and WTO Accession," IMF Working Papers 2004/036, International Monetary Fund.
    15. Ludvigson, Sydney C. & Ng, Serena, 2007. "The empirical risk-return relation: A factor analysis approach," Journal of Financial Economics, Elsevier, vol. 83(1), pages 171-222, January.
    16. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    17. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    18. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    19. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    20. Schwert, G William, 1990. "Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-1257, September.
    21. Jeffrey D. Sachs & Andrew Warner, 1995. "Economic Reform and the Process of Global Integration," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(1, 25th A), pages 1-118.
    22. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    23. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    24. Roll, Richard, 1992. "Industrial Structure and the Comparative Behavior of International Stock Market Indices," Journal of Finance, American Finance Association, vol. 47(1), pages 3-41, March.
    25. Canova, Fabio & De Nicolo', Gianni, 1995. "Stock returns and real activity: A structural approach," European Economic Review, Elsevier, vol. 39(5), pages 981-1015, May.
    26. Rapach, David E. & Wohar, Mark E., 2006. "In-sample vs. out-of-sample tests of stock return predictability in the context of data mining," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 231-247, March.
    27. Geert Bekaert & Campbell R. Harvey & Christian T. Lundblad & Stephan Siegel, 2011. "What Segments Equity Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 24(12), pages 3841-3890.
    28. Anders Johansson, 2010. "China's financial market integration with the world," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 8(3), pages 293-314.
    29. Lee, Cheng F & Rui, Oliver M, 2000. "Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets," Review of Quantitative Finance and Accounting, Springer, vol. 14(4), pages 341-360, June.
    30. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    31. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    32. Chen, Xuanjuan & Kim, Kenneth A. & Yao, Tong & Yu, Tong, 2010. "On the predictability of Chinese stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 403-425, September.
    33. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    34. Carrieri, Francesca & Errunza, Vihang & Hogan, Ked, 2007. "Characterizing World Market Integration through Time," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(4), pages 915-940, December.
    35. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    36. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    37. Wang, Yuenan & Iorio, Amalia Di, 2007. "Are the China-related stock markets segmented with both world and regional stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 277-290, July.
    38. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    39. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    40. Phylaktis, Kate & Ravazzolo, Fabiola, 2002. "Measuring financial and economic integration with equity prices in emerging markets," Journal of International Money and Finance, Elsevier, vol. 21(6), pages 879-903, November.
    41. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    42. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    43. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    44. Yun Wang, Chang & Sang Cheng, Nam, 2004. "Extreme volumes and expected stock returns: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 577-597, November.
    45. Gultekin, Mustafa N & Gultekin, N Bulent & Penati, Alessandro, 1989. " Capital Controls and International Capital Market Segmentation: The Evidence from the Japanese and American Stock Markets," Journal of Finance, American Finance Association, vol. 44(4), pages 849-869, September.
    46. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," Working Papers 1398, Princeton University, Department of Economics, Econometric Research Program..
    47. Doron Avramov, 2004. "Stock Return Predictability and Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 699-738.
    48. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.
    49. Canova, Fabio & Dellas, Harris, 1993. "Trade interdependence and the international business cycle," Journal of International Economics, Elsevier, vol. 34(1-2), pages 23-47, February.
    50. Nelson, Charles R & Kim, Myung J, 1993. "Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    51. Huang, Bwo-Nung & Yang, Chin-Wei & Hu, John Wei-Shan, 2000. "Causality and cointegration of stock markets among the United States, Japan and the South China Growth Triangle," International Review of Financial Analysis, Elsevier, vol. 9(3), pages 281-297.
    52. Harvey, Campbell R, 1991. "The World Price of Covariance Risk," Journal of Finance, American Finance Association, vol. 46(1), pages 111-157, March.
    53. Bracker, Kevin & Docking, Diane Scott & Koch, Paul D., 1999. "Economic determinants of evolution in international stock market integration," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 1-27, January.
    54. Paul Masson & Wendy Dobson & Robert Lafrance, 2008. "China's Integration into the Global Financial System," Bank of Canada Review, Bank of Canada, vol. 2008(Summer), pages 19-31.
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    More about this item

    Keywords

    Chinese stock market; Return predictability; International investment;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • F3 - International Economics - - International Finance
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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