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Time-varying correlations and interrelations: Firm-level-based sector evidence

Author

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  • P. Evans

    (Swansea University)

  • David G. McMillan

    (University of Stirling)

  • Fiona J. McMillan

    (University of Dundee)

Abstract

ABSTRACT Using firm-level data, we examine stock market correlations and interrelations for the G7 over the period 2000–2013. An examination using aggregate market data supports the view that correlations have risen and particularly so during crisis periods. Using firm-level data, which is tradeable, we establish sector portfolios. We consider three regression approaches. The results support, first, that correlations using firm data are lower than those observed using aggregate market index data. Second, the most important driver for home sector returns is the home market followed by the corresponding US sector. Third, correlations rose during the crisis but have stabilised and even fallen since. This supports the view that markets fall together but rise apart. Fourth, there is evidence that most sector correlations follow a market-wide component, but some sector correlations follow their own component. Subsequently, we examine the key drivers of time-varying correlations. We find that the market-wide component of correlations increases in a US bear market as well as with higher US market volatility and lower US interest rates. However, on a sector basis, there are notable exceptions with some correlations falling in a bear market. Together, these results support the view that diversification benefits remain across market sectors.

Suggested Citation

  • P. Evans & David G. McMillan & Fiona J. McMillan, 2017. "Time-varying correlations and interrelations: Firm-level-based sector evidence," Journal of Asset Management, Palgrave Macmillan, vol. 18(3), pages 209-221, May.
  • Handle: RePEc:pal:assmgt:v:18:y:2017:i:3:d:10.1057_s41260-016-0034-3
    DOI: 10.1057/s41260-016-0034-3
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    Cited by:

    1. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.

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    More about this item

    Keywords

    stock markets; correlations; firm-level; sectors; time-varying;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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