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Risk-return trade-off for European stock markets

Author

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  • Aslanidis, Nektarios
  • Christiansen, Charlotte
  • Savva, Christos S.

Abstract

This paper adopts factor models with macro-finance predictors to test the intertemporal risk-return relation for 13 European stock markets from 1986 to 2012. We use country specific, euro area, and US macro-finance factors to determine the conditional volatility and conditional return. We find that the risk-return trade-off is generally negative. The Markov switching model documents that there is time-variation in this trade-off that is linked to the state of the economy, but not the business cycles. Quantile regressions show that the risk-return trade-off is stronger at the lowest quantile of the conditional return.

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  • Aslanidis, Nektarios & Christiansen, Charlotte & Savva, Christos S., 2016. "Risk-return trade-off for European stock markets," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 84-103.
    • Handle: RePEc:eee:finana:v:46:y:2016:i:c:p:84-103
    DOI: 10.1016/j.irfa.2016.03.018
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    9. Galina Deeva, 2017. "Comparing Entropy and Beta as Measures of Risk in Asset Pricing," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1889-1894.
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    More about this item

    Keywords

    European stock markets; Factor model; Macro-finance predictors; Markov switching model; Quantile regressions; Risk-return trade-off;
    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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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