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Structural Conditional Correlation

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  • Weber, Enzo

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Abstract

A small strand of recent literature is occupied with identifying simultaneity in multiple equation systems through autoregressive conditional heteroscedasticity. Since this approach assumes that the structural innovations are uncorrelated, any contemporaneous connection of the endogenous variables needs to be exclusively explained by mutual spillover effects. In contrast, this paper allows for instantaneous covariances, which become identifiable by imposing the constraint of structural constant / dynamic conditional correlation (SCCC / SDCC). In this, common driving forces can be modelled in addition to simultaneous transmission effects. The methodology is applied to the Dow Jones and Nasdaq Composite indexes, illuminating scope and functioning of the new models.

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File URL: http://epub.uni-regensburg.de/9560/1/Paper_SCC.pdf
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Bibliographic Info

Paper provided by University of Regensburg, Department of Economics in its series University of Regensburg Working Papers in Business, Economics and Management Information Systems with number 434.

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Date of creation: 02 Jan 2009
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Handle: RePEc:bay:rdwiwi:9560

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Keywords: Simultaneity; Identification; EGARCH; Conditional Correlation;

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Cited by:
  1. Till Strohsal & Enzo Weber, 2012. "The Signal of Volatility," SFB 649 Discussion Papers SFB649DP2012-043, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  2. Choe, Kwang-il & Choi, Pilsun & Nam, Kiseok & Vahid, Farshid, 2012. "Testing financial contagion on heteroskedastic asset returns in time-varying conditional correlation," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 271-291.
  3. Helmut Lütkepohl & Anton Velinov, 2014. "Structural Vector Autoregressions: Checking Identifying Long-run Restrictions via Heteroskedasticity," SFB 649 Discussion Papers SFB649DP2014-009, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," Working Papers 0543, University of Heidelberg, Department of Economics.
  5. Enzo Weber, 2008. "Simultaneous Stochastic Volatility Transmission Across American Equity Markets," SFB 649 Discussion Papers SFB649DP2008-049, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  6. Numan Ülkü, 2011. "Modeling Comovement among Emerging Stock Markets: The Case of Budapest and Istanbul," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(3), pages 277-304, July.
  7. Jahn, Elke & Weber, Enzo, 2012. "Identifying the Substitution Effect of Temporary Agency Employment," University of Regensburg Working Papers in Business, Economics and Management Information Systems 463, University of Regensburg, Department of Economics.
  8. Weber, Enzo & Zhang, Yanqun, 2012. "Common influences, spillover and integration in Chinese stock markets," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 382-394.
  9. Ülkü, Numan & Weber, Enzo, 2013. "Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2733-2749.
  10. Weber, Enzo, 2013. "Decomposing U.S. Stock Market Comovement into spillovers and common factors," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 106-118.
  11. Strohsal, Till & Weber, Enzo, 2013. "Identifying Volatility Signals from Time-Varying Simultaneous Stock Market Interaction," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79903, Verein für Socialpolitik / German Economic Association.

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