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An empirical analysis of dynamic relationship between stock market and bond market based on information shocks

Author

Listed:
  • Qiang Chen
  • Daolun Chen
  • YuTing Gong

Abstract

Purpose - The purpose of this paper is to empirically analyze the dynamic relationship between stock market and bond market based on the effect of different information shocks. Design/methodology/approach - This paper decomposes the information of stock market and bond market into public information and private information. The characteristics of response of stock market and bond market to the information shocks are examined by SVAR model and modified BEKK model. Findings - The study shows that the information shocks in financial market yield not only the effect on linear asset return but also the effect on nonlinear asset volatility. The public information mainly produces a short effect of return while the private information mainly produces a permanent effect on volume. The interactive relation between stock market and bond market is mainly reliant on the effect of the information shock volatility to market return volatility. Originality/value - The paper empirically analyzes the influence characteristics of different information shocks, which has some reference value not only for deeply understanding the market microstructure but also for improving the construction of various capital markets.

Suggested Citation

  • Qiang Chen & Daolun Chen & YuTing Gong, 2012. "An empirical analysis of dynamic relationship between stock market and bond market based on information shocks," China Finance Review International, Emerald Group Publishing Limited, vol. 2(3), pages 265-285, June.
  • Handle: RePEc:eme:cfripp:v:2:y:2012:i:3:p:265-285
    DOI: 10.1108/20441391211231042
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    References listed on IDEAS

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    1. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    2. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    3. Shiller, Robert J. & Beltratti, Andrea E., 1992. "Stock prices and bond yields : Can their comovements be explained in terms of present value models?," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 25-46, October.
    4. Edith S. Hotchkiss & Tavy Ronen, 2002. "The Informational Efficiency of the Corporate Bond Market: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1325-1354.
    5. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.
    6. Barsky, Robert B, 1989. "Why Don't the Prices of Stocks and Bonds Move Together?," American Economic Review, American Economic Association, vol. 79(5), pages 1132-1145, December.
    7. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    8. Bossaerts, Peter, 1988. "Common nonstationary components of asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 347-364.
    9. Datta, Sudip & Dhillon, Upinder S., 1993. "Bond and Stock Market Response to Unexpected Earnings Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 565-577, December.
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