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Non-Normal Market Losses and Spatial Dependence Using Uncertainty Indices

Author

Listed:
  • Catalina Bolancé

    (Department of Econometrics, Riskcenter-IREA, University of Barcelona, Av. Diagonal, 690, 08034 Barcelona, Spain
    These authors contributed equally to this work.)

  • Carlos Alberto Acuña

    (Department of Econometrics, Riskcenter-IREA, University of Barcelona, Av. Diagonal, 690, 08034 Barcelona, Spain
    These authors contributed equally to this work.)

  • Salvador Torra

    (Department of Econometrics, Riskcenter-IREA, University of Barcelona, Av. Diagonal, 690, 08034 Barcelona, Spain)

Abstract

We analyse spatial dependence between the risks of stock markets. An alternative definition of neighbour is used and is based on a proposed exogenous criterion obtained with a dynamic Google Trends Uncertainty Index (GTUI) designed specifically for this analysis. We show the impact of systemic risk on spatial dependence related to the most significant financial crises from 2005: the Lehman Brothers bankruptcy, the sub-prime mortgage crisis, the European debt crisis, Brexit and the COVID-19 pandemic, which also affected the financial markets. The risks are measured using the monthly variance or volatility and the monthly Value-at-Risk (VaR) of the filtered losses associated with the analysed indices. Given that the analysed risk measures follow non-normal distributions and the number of neighbours changes over time, we carry out a simulation study to check how these characteristics affect the results of global and local inference using Moran’s I statistic. Lastly, we analyse the global spatial dependence between the risks of 46 stock markets and we study the local spatial dependence for 10 benchmark stock markets worldwide.

Suggested Citation

  • Catalina Bolancé & Carlos Alberto Acuña & Salvador Torra, 2022. "Non-Normal Market Losses and Spatial Dependence Using Uncertainty Indices," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:8:p:1317-:d:794584
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    References listed on IDEAS

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    1. Lien, Donald & Lee, Geul & Yang, Li & Zhang, Yuyin, 2018. "Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 187-201.
    2. Li, Yan & Liang, Chao & Ma, Feng & Wang, Jiqian, 2020. "The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 36(C).
    3. Holger Breinlich & Elsa Leromain & Dennis Novy & Thomas Sampson & Ahmed Usman, 2018. "The Economic Effects of Brexit: Evidence from the Stock Market," Fiscal Studies, John Wiley & Sons, vol. 39(4), pages 581-623, December.
    4. Chopra, Monika & Mehta, Chhavi, 2022. "Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis," Journal of Asian Economics, Elsevier, vol. 79(C).
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    7. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2013. "Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 46-56.
    8. Scott R Baker & Nicholas Bloom & Steven J Davis & Kyle Kost & Marco Sammon & Tasaneeya Viratyosin & Jeffrey Pontiff, 0. "The Unprecedented Stock Market Reaction to COVID-19," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 742-758.
    9. Ghirelli, Corinna & Pérez, Javier J. & Urtasun, Alberto, 2019. "A new economic policy uncertainty index for Spain," Economics Letters, Elsevier, vol. 182(C), pages 64-67.
    10. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
    11. Thomas J Flavin & Margaret J Hurley & Fabrice Rousseau, 2002. "Explaining Stock Market Correlation: A Gravity Model Approach," Manchester School, University of Manchester, vol. 70(S1), pages 87-106.
    12. Samitas, Aristeidis & Tsakalos, Ioannis, 2013. "How can a small country affect the European economy? The Greek contagion phenomenon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 18-32.
    13. repec:bla:manchs:v:70:y:2002:i:0:p:87-106 is not listed on IDEAS
    14. Samarakoon, Lalith P., 2017. "Contagion of the eurozone debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 115-128.
    15. Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.
    16. Wahbeeah Mohti & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2019. "Contagion of the Subprime Financial Crisis on Frontier Stock Markets: A Copula Analysis," Economies, MDPI, vol. 7(1), pages 1-14, February.
    17. Oussama Tilfani & Paulo Ferreira & My Youssef El Boukfaoui, 2021. "Dynamic cross-correlation and dynamic contagion of stock markets: a sliding windows approach with the DCCA correlation coefficient," Empirical Economics, Springer, vol. 60(3), pages 1127-1156, March.
    18. Li, Hong, 2020. "Volatility spillovers across European stock markets under the uncertainty of Brexit," Economic Modelling, Elsevier, vol. 84(C), pages 1-12.
    19. Hachmi Ben Ameur & Waël Louhichi, 2022. "The Brexit impact on European market co-movements," Annals of Operations Research, Springer, vol. 313(2), pages 1387-1403, June.
    20. Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
    21. Richard C. K. Burdekin & Eric Hughson & Jinlin Gu, 2018. "A first look at Brexit and global equity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 25(2), pages 136-140, January.
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