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On the Past, Present, and Future of the Diebold-Yilmaz Approach to Dynamic Network Connectedness

Author

Listed:
  • Francis X. Diebold

    (University of Pennsylvania)

  • Kamil Yilmaz

    (Koc University)

Abstract

We offer retrospective and prospective assessments of the Diebold-Yilmaz connectedness research program, combined with personal recollections of its development. Its centerpiece in many respects is Diebold and Yilmaz (2014), around which our discussion is organized.

Suggested Citation

  • Francis X. Diebold & Kamil Yilmaz, 2022. "On the Past, Present, and Future of the Diebold-Yilmaz Approach to Dynamic Network Connectedness," Koç University-TUSIAD Economic Research Forum Working Papers 2207, Koc University-TUSIAD Economic Research Forum.
    • Handle: RePEc:koc:wpaper:2207
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    References listed on IDEAS

    as
    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Francis X. Diebold, 2020. ""Big Data" and its Origins," Papers 2008.05835, arXiv.org, revised Jan 2021.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Jean-Marie Dufour & Eric Renault, 1998. "Short Run and Long Run Causality in Time Series: Theory," Econometrica, Econometric Society, vol. 66(5), pages 1099-1126, September.
    6. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    8. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    9. Matteo Barigozzi & Giuseppe Cavaliere & Graziano Moramarco, 2022. "Factor Network Autoregressions," Papers 2208.02925, arXiv.org, revised Mar 2025.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Mathieu Jacomy & Tommaso Venturini & Sebastien Heymann & Mathieu Bastian, 2014. "ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-12, June.
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    Cited by:

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    3. Doğan, Buhari & Ben Jabeur, Sami & Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins, 2025. "Asymmetry in returns and volatility between green financial assets, sustainable investments, clean energy, and international stock markets," Research in International Business and Finance, Elsevier, vol. 73(PA).
    4. Ali, Shoaib & Naveed, Muhammad & Al-Nassar, Nassar S. & Mirza, Nawazish, 2024. "Mineral Metamorphosis: Tracing the static and dynamic nexus between minerals and global south markets," Resources Policy, Elsevier, vol. 96(C).
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    7. Zsuzsa R. Huszár & Balázs B. Kotró & Ruth S. K. Tan, 2023. "European equity markets volatility spillover: Destabilizing energy risk is the new normal," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 205-271, December.
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    More about this item

    Keywords

    Contagion; Spillovers; Financial markets; Vector autoregressions; Variance decompositions.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • G1 - Financial Economics - - General Financial Markets

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