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Multivariate EGARCHX-Modelling of the International Asset Return Signal Response Mechanism

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  • Ostermark, Ralf
  • Hoglund, Rune

Abstract

The integration of national financial economies, enhanced by loosening capital control, has motivated the study of co-movements between markets. In this paper we use a variant of the multivariate EGARCH method, due to Koutmos and Booth, to study the impact of the Japanese stock prices on the Finnish derivatives market, both in the first and second moments. We extend the algorithm to MEGARCHX, by including exogenous variables in the estimation problem. MEGARCHX modelling of the Finnish stock returns and Futures returns effectively captures the linear dependence and heteroscedasticity present in the series. Copyright @ 1997 by John Wiley & Sons, Ltd. All rights reserved.

Suggested Citation

  • Ostermark, Ralf & Hoglund, Rune, 1997. "Multivariate EGARCHX-Modelling of the International Asset Return Signal Response Mechanism," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(3), pages 249-262, July.
    • Handle: RePEc:ijf:ijfiec:v:2:y:1997:i:3:p:249-62
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    Cited by:

    1. Aaltonen, J. & Östermark, R., 1997. "A rolling test of granger causality between the Finnish and Japanese security markets," Omega, Elsevier, vol. 25(6), pages 635-642, December.
    2. Ostermark, Ralf, 2001. "Genetic modelling of multivariate EGARCHX-processes: evidence on the international asset return signal response mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 71-93, November.

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