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Flight-to-quality and asymmetric volatility responses in US Treasuries

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Listed author(s):
  • Dungey, Mardi
  • McKenzie, Michael
  • Tambakis, Demosthenes N.

Abstract

Flight-to-quality during times of financial crisis is a feature of financial markets. Here, a simple strategic model demonstrates that some preference asymmetry is sufficient to generate endogenous flight-to-quality from an emerging stock market to US Treasury bonds. The empirical evidence from a TARCH model supports the significance of emerging equity market shocks in accounting for the asymmetric properties of US Treasuries across the maturity structure. This effect is found to be more pronounced since the turn of the 21st century.

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File URL: http://www.sciencedirect.com/science/article/pii/S1044-0283(08)00053-7
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Article provided by Elsevier in its journal Global Finance Journal.

Volume (Year): 19 (2009)
Issue (Month): 3 ()
Pages: 252-267

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Handle: RePEc:eee:glofin:v:19:y:2009:i:3:p:252-267
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620162

Keywords: Flight-to-quality Volatility Asymmetric GARCH Financial crises Emerging markets;

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  1. P. Hartmann & S. Straetmans & C. G. de Vries, 2004. "Asset Market Linkages in Crisis Periods," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 313-326, February.
  2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
  3. Diebold & Lopez, "undated". "Modeling Volatility Dynamics," Home Pages _062, University of Pennsylvania.
  4. Brian Lucey & Edel Tully, 2006. "Seasonality, risk and return in daily COMEX gold and silver data 1982-2002," Applied Financial Economics, Taylor & Francis Journals, vol. 16(4), pages 319-333.
  5. Michael J. Fleming & Eli M. Remolona, 1997. "What moves the bond market?," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 31-50.
  6. Lucy Ackert & Marie Racine, 1997. "The economics of conditional heteroskedasticity: Evidence from canadian and U.S. stock and futures markets," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 25(4), pages 371-385, December.
  7. Solnik, B H, 1974. "The International Pricing of Risk: An Empirical Investigation of the World Capital Market Structure," Journal of Finance, American Finance Association, vol. 29(2), pages 365-378, May.
  8. Jones, Charles M. & Lamont, Owen & Lumsdaine, Robin L., 1998. "Macroeconomic news and bond market volatility," Journal of Financial Economics, Elsevier, vol. 47(3), pages 315-337, March.
  9. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
  10. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
  11. de Goeij, P. C. & Marquering, W., 2004. "Modeling the conditional covariance between stock and bond returns : A multivariate GARCH approach," Other publications TiSEM 94fe5ada-715a-4339-b94c-f, Tilburg University, School of Economics and Management.
  12. McKenzie, Michael, 2002. "The Economics of Exchange Rate Volatility Asymmetry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 247-260, July.
  13. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
  14. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
  15. Kim, Suk-Joong & McKenzie, Michael D. & Faff, Robert W., 2004. "Macroeconomic news announcements and the role of expectations: evidence for US bond, stock and foreign exchange markets," Journal of Multinational Financial Management, Elsevier, vol. 14(3), pages 217-232, July.
  16. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
  17. Michael J. Fleming, 1997. "The round-the-clock market for U.S. Treasury securities," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 9-32.
  18. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(04), pages 523-543, December.
  19. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
  20. de Goeij, P. C. & Marquering, W., 2006. "Macroeconomic announcements and asymmetric volatility in bond returns," Other publications TiSEM bc4389f3-bad2-4e5b-b996-3, Tilburg University, School of Economics and Management.
  21. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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Cited by:

  1. Goedde-Menke, Michael & Langer, Thomas & Pfingsten, Andreas, 2014. "Impact of the financial crisis on bank run risk – Danger of the days after," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 522-533.

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