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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 Feb 2024.
    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. Joanna Górka & Katarzyna Kuziak, 2024. "Dynamic Connectedness Among Alternative and Conventional Energy ETFs Based on the TVP-VAR Approach," Energies, MDPI, vol. 17(23), pages 1-29, November.
    4. Lin, Zi-Luo & Ouyang, Wen-Pei & Yu, Qing-Rui, 2024. "Risk spillover effects of the Israel–Hamas War on global financial and commodity markets: A time–frequency and network analysis," Finance Research Letters, Elsevier, vol. 66(C).
    5. Shi, Huai-Long & Chen, Huayi, 2024. "Understanding co-movements based on heterogeneous information associations," International Review of Financial Analysis, Elsevier, vol. 94(C).
    6. Chen, Yu-Fen & Lin, Fu-Lai & Yeh, Wen-Hung, 2024. "Intra- and inter-sector spillover effects within a supply chain: Evidence from Taiwan electric motorcycle industry," Economics Letters, Elsevier, vol. 240(C).
    7. Lai, Jennifer & McNelis, Paul D., 2024. "Financial contagion among the GSIBs and regulatory interventions," Journal of Financial Stability, Elsevier, vol. 72(C).
    8. Xu, Yingying & Shao, Xuefeng & Tanasescu, Cristina, 2024. "How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers," Energy Economics, Elsevier, vol. 132(C).
    9. Yang, Xin & Wang, Xuya & Cao, Jie & Zhao, Lili & Huang, Chuangxia, 2024. "Cross-regional connectedness of financial market: Measurement and determinants," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    10. Chen, Yanghan & Lin, Juan, 2024. "Measuring systemic risk in Asian foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 146(C).
    11. 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.
    12. Polat, Onur & Ertuğrul, Hasan Murat & Sakarya, Burçhan & Akgül, Ali, 2024. "TVP-VAR based time and frequency domain food & energy commodities connectedness an analysis for financial/geopolitical turmoil episodes," Applied Energy, Elsevier, vol. 357(C).

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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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