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Macroeconomic expectations and the time-varying stock-bond correlation: international evidence

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  • Conrad, Christian
  • Loch, Karin

Abstract

We explain the time-varying correlation between stock and bond returns by survey expectations on the future macroeconomic development. A modified DCC-MIDAS specification allows us to relate daily changes in the correlation to monthly expectations data. For a cross-section of countries, we show that the stock-bond correlation is mainly determined by expectations regarding the future course of monetary policy as well as stress in financial markets. From a European perspective, the asymmetry in the response of the stock-bond correlation to heightened stock market volatility in the UK, Germany and France on the one hand, and Italy on the other hand is of high policy relevance.

Suggested Citation

  • Conrad, Christian & Loch, Karin, 2016. "Macroeconomic expectations and the time-varying stock-bond correlation: international evidence," VfS Annual Conference 2016 (Augsburg): Demographic Change 145530, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc16:145530
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    References listed on IDEAS

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    Cited by:

    1. Allard, Anne-Florence & Iania, Leonardo & Smedts, Kristien, 2020. "Stock-bond return correlations: Moving away from “one-frequency-fits-all” by extending the DCC-MIDAS approach," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
    3. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).

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    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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