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Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification

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Author Info

  • Hossein Asgharian

    ()
    (Lund University)

  • Charlotte Christiansen

    ()
    (Aarhus University and CREATES)

  • Ai Jun Hou

    ()
    (Stockholm University)

Abstract

We investigate the long-run stock-bond correlation using a novel model that combines the dynamic conditional correlation model with the mixed-data sampling approach. The long-run correlation is affected by both macro-finance variables (historical and forecasts) and the lagged realized correlation itself. Macro-finance variables and the lagged realized correlation are simultaneously significant in forecasting the long-run stock-bond correlation. The behavior of the long-run stock-bond correlation is very different when estimated taking the macro-finance variables into account. Supporting the flight-to-quality phenomenon for the total stock-bond correlation, the long-run correlation tends to be small/negative when the economy is weak.

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Bibliographic Info

Paper provided by School of Economics and Management, University of Aarhus in its series CREATES Research Papers with number 2014-13.

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Length: 36
Date of creation: 10 Apr 2014
Date of revision:
Handle: RePEc:aah:create:2014-13

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Web page: http://www.econ.au.dk/afn/

Related research

Keywords: DCC-MIDAS model; Long-run correlation; Macro-finance variables; Stock-bond correlation;

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References

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  1. Lieven Baele & Geert Bekaert & Koen Inghelbrecht, 2009. "The Determinants of Stock and Bond Return Comovements," NBER Working Papers 15260, National Bureau of Economic Research, Inc.
  2. John Y. Campbell & John Ammer, 1991. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," NBER Working Papers 3760, National Bureau of Economic Research, Inc.
  3. BAUWENS, Luc & STORTI, Giuseppe, . "A component GARCH model with time varying weights," CORE Discussion Papers RP, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) -2125, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Cristina Amado & Timo Teräsvirta, 2011. "Modelling Volatility by Variance Decomposition," NIPE Working Papers, NIPE - Universidade do Minho 01/2011, NIPE - Universidade do Minho.
  5. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," Review of Financial Studies, Society for Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
  6. Asgharian, Hossein & Hou, Ai Jun & Javed, Farrukh, 2013. "Importance of the macroeconomic variables for variance prediction A GARCH-MIDAS approach," Knut Wicksell Working Paper Series, Knut Wicksell Centre for Financial Studies, Lund University 2013/4, Knut Wicksell Centre for Financial Studies, Lund University.
  7. Allan Timmermann & Massimo Guidolin, 2006. "An econometric model of nonlinear dynamics in the joint distribution of stock and bond returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 21(1), pages 1-22.
  8. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, Elsevier, vol. 164(1), pages 45-59, September.
  9. Connolly, Robert & Stivers, Chris & Sun, Licheng, 2005. "Stock Market Uncertainty and the Stock-Bond Return Relation," Journal of Financial and Quantitative Analysis, Cambridge University Press, Cambridge University Press, vol. 40(01), pages 161-194, March.
  10. Granger, Clive W. J. & Ding, Zhuanxin, 1996. "Varieties of long memory models," Journal of Econometrics, Elsevier, Elsevier, vol. 73(1), pages 61-77, July.
  11. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, Elsevier, vol. 60(1-2), pages 65-99.
  12. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, Elsevier, vol. 49(1), pages 111-137, July.
  13. Christodoulakis, George A. & Satchell, Stephen E., 2002. "Correlated ARCH (CorrARCH): Modelling the time-varying conditional correlation between financial asset returns," European Journal of Operational Research, Elsevier, Elsevier, vol. 139(2), pages 351-370, June.
  14. Viceira, Luis M., 2012. "Bond risk, bond return volatility, and the term structure of interest rates," International Journal of Forecasting, Elsevier, Elsevier, vol. 28(1), pages 97-117.
  15. Connolly, Robert A. & Stivers, Chris & Sun, Licheng, 2007. "Commonality in the time-variation of stock-stock and stock-bond return comovements," Journal of Financial Markets, Elsevier, Elsevier, vol. 10(2), pages 192-218, May.
  16. Conrad, Christian & Loch, Karin, 2012. "Anticipating Long-Term Stock Market Volatility," Working Papers, University of Heidelberg, Department of Economics 0535, University of Heidelberg, Department of Economics.
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