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Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements

Author

Listed:
  • Kiryoung LEE

    (Sejong University, 209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, Republic of Korea.)

  • Chanik JO

    (Rotman School of Management, Ph.D. candidate, University of Toronto, 105 St. George Street, M5S 2E8, Toronto, Canada)

Abstract

This paper analyses the relationship between time-varying long-term interest rate comovement and the Chinese business cycle. For this purpose, we estimate the dynamic conditional correlation (DCC) between China and 10 of China’s neighboring countries and the U.S. long-term interest rate and construct the comovement measures. The empirical results show the first evidence that long-term interest rate comovement indeed has predictive power for future Chinese business cycle for both in-sample and out-of-sample. This result implies the growing importance of the regional factor along with the global factor. Most importantly, our result provides practitioners and academia a novel indicator which is able to predict the future Chinese business cycle beyond the traditional business cycle forecasters – term spread, excess stock returns, leading indicator, Production Manufacturing Index, and U.S. interest rate.

Suggested Citation

  • Kiryoung LEE & Chanik JO, 2018. "Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 118-134, December.
  • Handle: RePEc:rjr:romjef:v::y:2018:i:2:p:118-134
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    References listed on IDEAS

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    1. Park, Young-Joon, 2013. "Regional Business Cycles in East Asia: Synchronization and its Determinants," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 17(2), pages 103-128, June.
    2. Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, April.
    3. Jotikasthira, Chotibhak & Le, Anh & Lundblad, Christian, 2015. "Why do term structures in different currencies co-move?," Journal of Financial Economics, Elsevier, vol. 115(1), pages 58-83.
    4. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2012. "Interest rate co-movements, global factors and the long end of the term spread," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 183-192.
    5. Kuttner, Kenneth N., 2001. "Monetary policy surprises and interest rates: Evidence from the Fed funds futures market," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 523-544, June.
    6. Su, Dongwei & Fleisher, Belton M., 1999. "Why does return volatility differ in Chinese stock markets?," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 557-586, December.
    7. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    8. Engsted, Tom & Tanggaard, Carsten, 2007. "The comovement of US and German bond markets," International Review of Financial Analysis, Elsevier, vol. 16(2), pages 172-182.
    9. Ang, Andrew & Piazzesi, Monika & Wei, Min, 2006. "What does the yield curve tell us about GDP growth?," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 359-403.
    10. Henriksen, Espen & Kydland, Finn E. & Šustek, Roman, 2013. "Globally correlated nominal fluctuations," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 613-631.
    11. Lei Lei Song & Sui‐Lay Tan, 2011. "Business Cycle Co‐movement between Australia and East Asia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 44(4), pages 427-436, December.
    12. Jonathan H. Wright, 2011. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset," American Economic Review, American Economic Association, vol. 101(4), pages 1514-1534, June.
    13. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.
    14. Michael Chin & Thomai Filippeli & Konstantinos Theodoridis, 2015. "Cross-Country Co-movement in Long-Term Interest Rates: A DSGE Approach," Working Papers 753, Queen Mary University of London, School of Economics and Finance.
    15. Bremnes, Helge & Gjerde, Oystein & Soettem, Frode, 2001. " Linkages among Interest Rates in the United States, Germany and Norway," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(1), pages 127-145, March.
    16. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
    17. Dahlquist, Magnus & Hasseltoft, Henrik, 2013. "International Bond Risk Premia," Journal of International Economics, Elsevier, vol. 90(1), pages 17-32.
    18. Nikolaos Antonakakis & Johann Scharler, 2012. "The synchronization of GDP growth in the G7 during US recessions," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 7-11, January.
    19. Claudio E. V. Borio & Andrew Filardo, 2007. "Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation," BIS Working Papers 227, Bank for International Settlements.
    20. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
    21. Kulish, Mariano & Rees, Daniel, 2011. "The yield curve in a small open economy," Journal of International Economics, Elsevier, vol. 85(2), pages 268-279.
    22. Helge Bremnes & Oystein Gjerde & Frode Sattem, 2001. "Linkages among Interest Rates in the United States, Germany and Norway," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(1), pages 127-145, March.
    23. Arturo Estrella & Mary R. Trubin, 2006. "The yield curve as a leading indicator: some practical issues," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(Jul).
    24. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    25. Dai, Yuwen, 2014. "Business Cycle Synchronization in Asia: The Role of Financial and Trade Linkages," Working Papers on Regional Economic Integration 139, Asian Development Bank.
    26. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    27. Khoon Lek Goh, 2003. "Does Consumer Confidence Forecast Consumption Expenditure in New Zealand?," Treasury Working Paper Series 03/22, New Zealand Treasury.
    28. Jeffrey E. Jarrett & Xia Pan & Shaw Chen, 2009. "Do the Chinese Bourses (Stock Markets) Predict Economic Growth?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(3), pages 201-211, December.
    29. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
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    Cited by:

    1. Lee, Kiryoung & Jeon, Yoontae, 2020. "Measuring Chinese consumers’ perceived uncertainty," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 51-70.

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    More about this item

    Keywords

    dynamic conditional correlations; recession; integrated markets; forecasting accuracy; regional factor; global factor;
    All these keywords.

    JEL classification:

    • F3 - International Economics - - International Finance
    • F10 - International Economics - - Trade - - - General
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles

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