Skip to main content

Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia

  • Conference paper
Intelligent Data Engineering and Automated Learning - IDEAL 2005 (IDEAL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3578))

Abstract

This paper investigates the cross-market informational dependence between these assets under disparate interest rate conditions of the U.S and Australia. With conditional variance as a proxy for volatility, we use the BEKK – a matricular decomposition of the bivariate GARCH (1,1) model to examine the cross-market contemporaneous effect of information arrival. Applying the model to the stock and bond indices of both countries, we find evidence of volatility spillover, thereby supporting the notion of informational dependence between each market.

JEL Classification:G11, G12

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alaganar, V., Ramaprasad Bhar, T.: An International Study of Causality-in- Variance: Interest Rate and Financial Sector Returns. Journal of Economics and Finance 27(1), 39–56 (2003)

    Article  Google Scholar 

  2. Baba, Y., Engle, R.F., Kraft, D., Kroner, K.: Multivariate simultaneous generalized ARCH. University of California, San Diego (1990) (unpublished manuscript)

    Google Scholar 

  3. Board of Governors of the Federal Reserve System, Effective Federal Funds Rate, Washington DC (1913)

    Google Scholar 

  4. Bollerslev, T.P., Wooldridge, J.M.: Quasi-maximum Likelihood Estimation and Inference in Dynamic Models with Time-varying Covariances. Econometric Reviews 11, 143–172 (1990)

    Article  MathSciNet  Google Scholar 

  5. Campbell, J.Y., Ammer, J.: What Moves the Stock and Bond Markets? A Variance Decomposition for Long Term Asset Returns. Journal of Finance 48(1), 3–37 (1993)

    Article  Google Scholar 

  6. Caporale, M.G., Ptittas, N., Spagnolo, N.: Testing for Causality in Variance: An application to the East Asian Markets. International Journal of Finance and Economics 7, 235–245 (2002)

    Article  Google Scholar 

  7. Cheung, Ng: A Causality-in-variance test and its application to financial market prices. Journal of Econometrics 72, 33–48 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  8. Engle, R.F., Kroner, K.F.: Multivariate simultaneous generalized ARCH. Econometric Theory 11, 122–150 (1995)

    Article  MathSciNet  Google Scholar 

  9. Karolyi, Andrew, G.: A multivariate GARCH model of international transmissions of stock returns and volatility: The case of the United States and Canada. Journal of Business and Economics Statistics 13, 11–25 (1995)

    Article  Google Scholar 

  10. Kwan, S.: Firm-specific Information and the Correlation Between Individual Stocks and Bonds. Journal of Financial Economics 40, 63–80 (1996)

    Article  Google Scholar 

  11. Reserve Bank of Australia, Cash Target Rate, Sydney, Australia (1959)

    Google Scholar 

  12. Shiller, R.J., Beltratti, A.E.: Stock Prices and Bond Yields. Journal of Monetary Economics 30, 25–46 (1992)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fang, V., Lee, V.C.S., Lim, Y.C. (2005). Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia. In: Gallagher, M., Hogan, J.P., Maire, F. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2005. IDEAL 2005. Lecture Notes in Computer Science, vol 3578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508069_75

Download citation

  • DOI: https://doi.org/10.1007/11508069_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26972-4

  • Online ISBN: 978-3-540-31693-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics