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Measuring financial interdependence in asset markets with an application to eurozone equities

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  • Fry-McKibbin, Renée
  • Hsiao, Cody Yu-Ling
  • Martin, Vance L.

Abstract

A general measure of asset market interdependence based on higher order comoments is developed and applied to studying weekly U.S. and eurozone equity returns from 1990 to 2017. A new test of independence is also developed. The empirical results show that interdependence peaks during the global financial crisis with the covariance and covolatility comoments being the dominant factors. Conditioning the interdependence measure on volatility does not change the overall qualitative results. Implications of the results for constructing diversified portfolios reveal economic benefits from portfolios based on higher order comoments than the usual assumption of bivariate normality, especially during the GFC. The empirical results also provide evidence that European Union membership led to higher interdependence than did the adoption of the common currency.

Suggested Citation

  • Fry-McKibbin, Renée & Hsiao, Cody Yu-Ling & Martin, Vance L., 2021. "Measuring financial interdependence in asset markets with an application to eurozone equities," Journal of Banking & Finance, Elsevier, vol. 122(C).
    • Handle: RePEc:eee:jbfina:v:122:y:2021:i:c:s0378426620302478
    DOI: 10.1016/j.jbankfin.2020.105985
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    Citations

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    Cited by:

    1. Cody Yu-Ling Hsiao & James Morley, 2022. "Debt and financial market contagion," Empirical Economics, Springer, vol. 62(4), pages 1599-1648, April.
    2. Sarwar, Ghulam, 2023. "Market risks that change US-European equity correlations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    3. Sawsen Bouker & Faysal Mansouri, 2022. "Sovereign contagion risk measure across financial markets in the eurozone: a bivariate copulas and Markov Regime Switching ARMA based approaches," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 615-711, May.
    4. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "Volatility spillovers during market supply shocks: The case of negative oil prices," Resources Policy, Elsevier, vol. 74(C).
    5. Raisul Islam & Vladimir Volkov, 2022. "Contagion or interdependence? Comparing spillover indices," Empirical Economics, Springer, vol. 63(3), pages 1403-1455, September.
    6. Renée Fry-McKibbin & Kate McKinnon & Vance L Martin, 2022. "Measuring Global Interest Rate Comovements with Implications for Monetary Policy Interdependence," RBA Annual Conference Papers acp2022-07, Reserve Bank of Australia, revised Dec 2022.
    7. Radu Lupu & Adrian Cantemir Călin & Cristina Georgiana Zeldea & Iulia Lupu, 2021. "Systemic Risk Spillovers in the European Energy Sector," Energies, MDPI, vol. 14(19), pages 1-23, October.
    8. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).
    9. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2021. "An analysis of investor behaviour and information flows surrounding the negative WTI oil price futures event," Energy Economics, Elsevier, vol. 104(C).

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    More about this item

    Keywords

    Entropy; Generalized distributions; Comoment decomposition; Testing; Contagion; Portfolio diversification;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • F30 - International Economics - - International Finance - - - General

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