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Proper measures of connectedness

Author

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  • Mario Maggi

    (Università di Pavia)

  • Maria-Laura Torrente

    (Università di Genova)

  • Pierpaolo Uberti

    (Università di Genova)

Abstract

The concept of connectedness has been widely used in financial applications, in particular for systemic risk detection. Despite its popularity, at the state of the art, a rigorous definition of connectedness is still missing. In this paper we propose a general definition of connectedness introducing the notion of proper measures of connectedness (PMCs). Based on the classical concept of mean introduced by Chisini, we define a family of PMCs and prove some useful properties. Further, we investigate whether the most popular measures of connectedness available in the literature are consistent with the proposed theoretical framework. We also compare different measures in terms of forecasting performances on real financial data. The empirical evidence shows the forecasting superiority of the PMCs compared to the measures that do not satisfy the theoretical properties. Moreover, the empirical results support the evidence that the PMCs can be useful to detect in advance financial bubbles, crises, and, in general, for systemic risk detection.

Suggested Citation

  • Mario Maggi & Maria-Laura Torrente & Pierpaolo Uberti, 2020. "Proper measures of connectedness," Annals of Finance, Springer, vol. 16(4), pages 547-571, December.
    • Handle: RePEc:kap:annfin:v:16:y:2020:i:4:d:10.1007_s10436-020-00363-3
    DOI: 10.1007/s10436-020-00363-3
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    1. Robert C. Merton, 2014. "ADB's Distinguished Speakers Program Measuring the Connectedness of the Financial System: Implications for Risk Management," Asian Development Review, MIT Press, vol. 31(1), pages 186-210, March.
    2. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Systemically important banks: an analysis for the European banking system," International Economics and Economic Policy, Springer, vol. 3(1), pages 73-89, April.
    3. 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.
    4. 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.
    5. Rose, Andrew K. & Spiegel, Mark M., 2009. "International financial remoteness and macroeconomic volatility," Journal of Development Economics, Elsevier, vol. 89(2), pages 250-257, July.
    6. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    7. David Aikman & Piergiorgio Alessandri & Bruno Eklund & Prasanna Gai & Sujit Kapadia & Elizabeth Martin & Nada Mora & Gabriel Sterne & Matthew Willison, 2011. "Funding Liquidity Risk in a Quantitative Model of Systemic Stability," Central Banking, Analysis, and Economic Policies Book Series, in: Rodrigo Alfaro (ed.),Financial Stability, Monetary Policy, and Central Banking, edition 1, volume 15, chapter 12, pages 371-410, Central Bank of Chile.
    8. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    9. 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.
    10. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    11. Wu, Guojun, 2001. "The Determinants of Asymmetric Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 837-859.
    12. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    13. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    14. Chiara Pederzoli & Costanza Torricelli, 2017. "Systemic risk measures and macroprudential stress tests: an assessment over the 2014 EBA exercise," Annals of Finance, Springer, vol. 13(3), pages 237-251, August.
    15. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    16. Lin, Chin-Shien & Khan, Haider A. & Chang, Ruei-Yuan & Wang, Ying-Chieh, 2008. "A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1098-1121, November.
    17. Michel Grabisch & Jean-Luc Marichal & Radko Mesiar & Endre Pap, 2011. "Aggregation functions: Means," Post-Print hal-00539028, HAL.
    18. Manasse, Paolo & Roubini, Nouriel, 2009. ""Rules of thumb" for sovereign debt crises," Journal of International Economics, Elsevier, vol. 78(2), pages 192-205, July.
    19. Krugman, Paul, 1979. "A Model of Balance-of-Payments Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(3), pages 311-325, August.
    20. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    21. Mikhail Stolbov & Maria Shchepeleva, 2018. "Systemic risk in Europe: deciphering leading measures, common patterns and real effects," Annals of Finance, Springer, vol. 14(1), pages 49-91, February.
    22. Alejandro Gaytán & Christian A. Johnson, 2002. "A Review of the Literature on Early Warning Systems for Banking Crises," Working Papers Central Bank of Chile 183, Central Bank of Chile.
    23. Jeffrey A. Frankel & George Saravelos, 2010. "Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis," NBER Working Papers 16047, National Bureau of Economic Research, Inc.
    24. Graciela Laura Kaminsky, 1999. "Currency and Banking Crises: The Early Warnings of Distress," IMF Working Papers 1999/178, International Monetary Fund.
    25. Markus Holopainen & Peter Sarlin, 2017. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1933-1963, December.
    26. 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.
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    Cited by:

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    2. Andrej Privara & Raheel Gohar & Haitham M. Alzoubi & Akash Kalra & Mohammed Ahmar Uddin & Bisharat Hussain Chang, 2025. "Exploring exchange rate sensitivity to crude oil futures: A study of selected global economies," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-21, February.
    3. Balcilar, Mehmet & Elsayed, Ahmed H. & Hammoudeh, Shawkat, 2023. "Financial connectedness and risk transmission among MENA countries: Evidence from connectedness network and clustering analysis1," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
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    5. Lu, Man & Chang, Bisharat Hussain & Salman, Asma & Razzaq, Muthanna G. Abdul & Uddin, Mohammed Ahmar, 2023. "Time varying connectedness between foreign exchange markets and crude oil futures prices," Resources Policy, Elsevier, vol. 86(PB).
    6. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Agricultural commodity markets and oil prices: An analysis of the dynamic return and volatility connectedness," Resources Policy, Elsevier, vol. 73(C).
    7. Paolo Bartesaghi & Fernando Diaz-Diaz & Rosanna Grassi & Pierpaolo Uberti, 2024. "Global Balance and Systemic Risk in Financial Correlation Networks," Papers 2407.14272, arXiv.org.
    8. Shiying Chen & Bisharat Hussain Chang & Hu Fu & ShiQi Xie, 2024. "Dynamic analysis of the relationship between exchange rates and oil prices: a comparison between oil exporting and oil importing countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    9. Inglesi-Lotz, R. & Dogan, Eyup & Nel, J. & Tzeremes, Panayiotis, 2023. "Connectedness and spillovers in the innovation network of green transportation," Energy Policy, Elsevier, vol. 180(C).
    10. Mishra, Aswini Kumar & Arunachalam, Vairam & Olson, Dennis & Patnaik, Debasis, 2023. "Dynamic connectedness in commodity futures markets during Covid-19 in India: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Connectedness; Systemic risk; Market risk; Financial crisis;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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