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GARCH modeling of robust market returns

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  • Cuadro-Sáez, Lucía
  • Moreno, Manuel

Abstract

Daily financial market returns (as log difference in closing prices) may be quite sensitive to operation with low trading volumes and big changes in prices frequently traded at market closing times. This paper proposes a more robust estimation of market returns by providing a new indicator that accounts for the information content in prices and trading volumes: the volume weighted return. Then, we estimate a GARCH (1,) model for the IBEX-35 futures market that includes shocks arising from countries linked to the Spanish economy. Our empirical findings suggest that the impact of the relevant news coming from abroad and thus, it might be relevant to assess the linkage of one market to other economies.

Suggested Citation

  • Cuadro-Sáez, Lucía & Moreno, Manuel, 2007. "GARCH modeling of robust market returns," Kiel Advanced Studies Working Papers 440, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwasw:440
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    References listed on IDEAS

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    1. Brock, William A & LeBaron, Blake D, 1996. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 94-110, February.
    2. Rockinger, Michael & Urga, Giovanni, 2001. "A Time-Varying Parameter Model to Test for Predictability and Integration in the Stock Markets of Transition Economies," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 73-84, January.
    3. Tkac, Paula A., 1999. "A Trading Volume Benchmark: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 34(1), pages 89-114, March.
    4. Geert Bekaert & Campbell R. Harvey, 2000. "Foreign Speculators and Emerging Equity Markets," Journal of Finance, American Finance Association, vol. 55(2), pages 565-613, April.
    5. 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.
    6. 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.
    7. Suominen, Matti, 2001. "Trading Volume and Information Revelation in Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 545-565, December.
    8. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    9. M. F. Omran & E. McKenzie, 2000. "Heteroscedasticity in stock returns data revisited: volume versus GARCH effects," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 553-560.
    10. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    11. John R. Nofsinger & Brian Prucyk, 2003. "Option volume and volatility response to scheduled economic news releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(4), pages 315-345, April.
    12. Bekaert, Geert & Harvey, Campbell R, 1995. "Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-444, June.
    13. Lamoureux, Christopher G & Lastrapes, William D, 1994. "Endogenous Trading Volume and Momentum in Stock-Return Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 253-260, April.
    14. Torben G. Andersen & Tim Bollerslev, 1998. "Deutsche Mark-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," Journal of Finance, American Finance Association, vol. 53(1), pages 219-265, February.
    15. Andersen, Torben G, 1996. "Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility," Journal of Finance, American Finance Association, vol. 51(1), pages 169-204, March.
    16. Nikkinen, Jussi & Omran, Mohammed & Sahlstrom, Petri & Aijo, Janne, 2006. "Global stock market reactions to scheduled U.S. macroeconomic news announcements," Global Finance Journal, Elsevier, vol. 17(1), pages 92-104, September.
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    More about this item

    Keywords

    volume weighted return; trading volumes; international transmission of news; GARCH;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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