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The market rank indicator to detect financial distress

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  • Figini, Silvia
  • Maggi, Mario
  • Uberti, Pierpaolo

Abstract

A novel measure is introduced to forecast financial crises, which can also be seen as a supplementary measure in systemic risk analysis. The indicator (the market rank indicator MRI) considers the relation between the largest singular value of a matrix of the return time series and its k smallest singular values. The rationale behind this is that, in times of market excitation and higher correlation, the vectors of the return time series become closer in the linear space containing them. The MRI is related to the notion of condition number, a measure of how close returns are; therefore, the MRI increases in periods of market tensions. The measure is applied to selected stock market indexes and tested empirically for its sensitivity as well as against alternative measures of systemic risk. The MRI could be of interest for both regulators and speculators due to its forecasting power. The empirical analysis underlines that the proposed methodology is particularly appealing to forecast market distress and it shows a clear superiority in terms of predictive capability with respect to other existing measures.

Suggested Citation

  • Figini, Silvia & Maggi, Mario & Uberti, Pierpaolo, 2020. "The market rank indicator to detect financial distress," Econometrics and Statistics, Elsevier, vol. 14(C), pages 63-73.
  • Handle: RePEc:eee:ecosta:v:14:y:2020:i:c:p:63-73
    DOI: 10.1016/j.ecosta.2017.12.001
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    1. 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.
    2. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    3. 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.
    4. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    5. 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.
    6. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    7. Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
    8. Maria Soledad Martinez Peria, 2002. "A regime-switching approach to the study of speculative attacks: A focus on EMS crises," Empirical Economics, Springer, vol. 27(2), pages 299-334.
    9. repec:erf:erfstu:78 is not listed on IDEAS
    10. 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.
    11. Mr. Emil Stavrev & Mr. Thomas Harjes & Mr. Martin Cihak, 2009. "Euro Area Monetary Policy in Uncharted Waters," IMF Working Papers 2009/185, International Monetary Fund.
    12. 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.
    13. Holopainen, Markus & Sarlin, Peter, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Research Discussion Papers 6/2015, Bank of Finland.
    14. Fahlenbrach, Rüdiger & Stulz, René M., 2011. "Bank CEO incentives and the credit crisis," Journal of Financial Economics, Elsevier, vol. 99(1), pages 11-26, January.
    15. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    16. Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
    17. 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.
    18. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
    19. Barrell, Ray & Davis, E. Philip & Karim, Dilruba & Liadze, Iana, 2010. "Bank regulation, property prices and early warning systems for banking crises in OECD countries," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2255-2264, September.
    20. Kauko, Karlo & Palmroos, Peter, 2014. "The Delphi method in forecasting financial markets— An experimental study," International Journal of Forecasting, Elsevier, vol. 30(2), pages 313-327.
    21. 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.
    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. Demirguc, Asli & Detragiache, Enrica, 2000. "Monitoring Banking Sector Fragility: A Multivariate Logit Approach," The World Bank Economic Review, World Bank, vol. 14(2), pages 287-307, May.
    24. Jeitschko, Thomas D. & Jeung, Shin Dong, 2005. "Incentives for risk-taking in banking - A unified approach," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 759-777, March.
    25. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    26. Graciela Laura Kaminsky, 1999. "Currency and Banking Crises: The Early Warnings of Distress," IMF Working Papers 1999/178, International Monetary Fund.
    27. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    28. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.
    29. Philip Lowe & Claudio Borio, 2002. "Asset prices, financial and monetary stability: exploring the nexus," BIS Working Papers 114, Bank for International Settlements.
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    6. Pierpaolo Uberti, 2026. "Measuring the risk or reducing it, that is the question: is risk measurement necessary for risk reduction?," Papers 2604.28124, arXiv.org.
    7. Mehmet Balcilar & Ojonugwa Usman & Busra Agan, 2024. "On the connectedness of commodity markets: A critical and selective survey of empirical studies and bibliometric analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 97-136, February.
    8. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    9. Bartesaghi, Paolo & Diaz-Diaz, Fernando & Grassi, Rosanna & Uberti, Pierpaolo, 2025. "Global balance and systemic risk in financial correlation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
    10. Mishra, Aswini Kumar & Anand K, Kamesh & Venkatasai Kappagantula, Akhil, 2025. "Unveiling asymmetric return spillovers with portfolio implications among Indian stock sectors during Covid-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).

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