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Interrelation and spillover effects between stocks and bonds: cross-market and cross-asset evidence

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  • David G. McMillan

Abstract

Purpose - This paper aims to examine the behaviour, both contemporaneous and causal, of stock and bond markets across four major international countries. Design/methodology/approach - The authors generate volatility and correlations using the realised volatility approach and implement a general vector autoregression approach to examine causality and spillovers. Findings - While results confirm that same asset-cross country return correlations and spillovers increase over time, the same in not true with variance and covariance behaviour. Volatility spillovers across countries exhibit a substantial amount of time variation; however, there is no evidence of trending in any direction. Equally, cross asset – same country correlations exhibit both negative and positive values. Further, the authors report an inverse relation between same asset – cross country return correlations and cross asset – same country return correlations, i.e. the stock return correlation across countries increases at the same time the stock and bond return correlation within each country declines. Moreover, the results show that the stock and bond return correlations exhibit commonality across countries. The results also demonstrate that stock returns lead movement in bond returns, while US stock and bond returns have predictive power other country stock and bond returns. In terms of the markets analysed, Japan exhibits a distinct nature compared with those of Germany, the UK and USA. Originality/value - The results presented here provide a detailed characterisation of how assets interact both with each other and cross-countries and should be of interest to portfolio managers, policy-makers and those interested in modelling cross-market behaviour. Notably, the authors reveal key differences between the behaviour of stocks and bonds and across different countries.

Suggested Citation

  • David G. McMillan, 2020. "Interrelation and spillover effects between stocks and bonds: cross-market and cross-asset evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 37(3), pages 561-582, June.
  • Handle: RePEc:eme:sefpps:sef-08-2019-0330
    DOI: 10.1108/SEF-08-2019-0330
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    Citations

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    Cited by:

    1. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Vo, Xuan Vinh, 2022. "What drives cross-market correlations during the United States Q.E.?," International Review of Financial Analysis, Elsevier, vol. 83(C).

    More about this item

    Keywords

    Causality; Volatility; Correlation; VAR; Returns; Bonds; Spillovers; Stocks; C22; G12;
    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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