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Sign and Quantiles of the Realized Stock-Bond Correlation

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Author Info

  • Nektarios Aslanidis

    ()
    (Department of Economics, FCEE, University Rovira Virgili)

  • Charlotte Christiansen

    ()
    (School of Economics and Management, Aarhus University and CREATES)

Abstract

We scrutinize the monthly realized stock-bond correlation based upon high frequency returns. In particular, we use a probit model to track the dynamics of the sign of the correlation relative to its various economic forces. The sign is predictable to a large extent with bond market liquidity being the most important variable. Moreover, stock market volatility, inflation uncertainty, short rate volatility, and bond volatility have significant effects upon the sign. In addition, we use quantile regressions to pin down the systematic variation of the extreme tails of the realized stock-bond correlation over its economic determinants. We document that the correlation behaves di¤erently when it is large negative (0.10 quantile) as opposed to when it is large positive (0.90 quantile). Nevertheless, the empirical findings are only partially robust to using other, possibly less precise, measures of the stock-bond correlation.

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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 2010-55.

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Length: 26
Date of creation: 31 Aug 2010
Date of revision:
Handle: RePEc:aah:create:2010-55

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

Related research

Keywords: Realized stock-bond correlation; Sign; Binary models; Quantile regressions;

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Cited by:
  1. Nektarios Aslanidis & Charlotte Christiansen, 2010. "Smooth Transition Patterns in the Realized Stock Bond Correlation," CREATES Research Papers, School of Economics and Management, University of Aarhus 2010-15, School of Economics and Management, University of Aarhus.

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