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Volatility equicorrelation: A cross-market perspective

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  • Aboura, Sofiane
  • Chevallier, Julien

Abstract

This paper contains the first empirical application of the Dynamic Equicorrelation (DECO) model to a cross-market dataset composed of equities, bonds, foreign exchange rates and commodities during 1983–2013. The originality of our approach consists of examining the volatility equicorrelations, by updating the concept of ‘volatility surprise’. We document that the average volatility equicorrelation across markets is around 15%, while being time-varying with regime shifts before/after September 2005 and with a low mean-reversion level.

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  • Aboura, Sofiane & Chevallier, Julien, 2014. "Volatility equicorrelation: A cross-market perspective," Economics Letters, Elsevier, vol. 122(2), pages 289-295.
    • Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:289-295
    DOI: 10.1016/j.econlet.2013.12.008
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    4. Ching-Chun Wei, 2016. "Empirical Analysis of ¡°Volatility Surprise¡± between Dollar Exchange Rate and CRB Commodity Future Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(9), pages 117-126, September.
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    7. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
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    10. Bouri, Elie & Lucey, Brian & Roubaud, David, 2020. "The volatility surprise of leading cryptocurrencies: Transitory and permanent linkages," Finance Research Letters, Elsevier, vol. 33(C).
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    13. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.

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