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Identifying Systemically Important Banks: A temporal approach for macroprudential policies

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  • Spelta, A.
  • Pecora, N.
  • Rovira Kaltwasser, P.

Abstract

Contrary to the general belief, systemic risk does not only regard the risk posed by balance sheet relationships and interdependencies among institutions. It also features a temporal dimension related to the inappropriate responses of financial market participants to changes in risk over time. This paper proposes a method to simultaneously address the cross-sectional and the time dimension in which systemic risk materializes. The method is based on the TOPHITS algorithm. It provides three scores, namely borrowing, lending and time scores: the first two represent the systemic importance of the borrowing and the lending activity associated with each financial institution,while the third represents an empirical Early Warning Signal of the financial crisis. Our findings reveal that the identification of the time score as an indicator for an incoming market distress could be relevant to design macro prudential policies.

Suggested Citation

  • Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019. "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 197-218.
    • Handle: RePEc:eee:jpolmo:v:41:y:2019:i:1:p:197-218
    DOI: 10.1016/j.jpolmod.2018.06.004
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    1. Wagner, Wolf, 2010. "Diversification at financial institutions and systemic crises," Journal of Financial Intermediation, Elsevier, vol. 19(3), pages 373-386, July.
    2. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
    3. 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.
    4. Allen, Franklin & Babus, Ana & Carletti, Elena, 2012. "Asset commonality, debt maturity and systemic risk," Journal of Financial Economics, Elsevier, vol. 104(3), pages 519-534.
    5. Arribas, Iván & Pérez, Francisco & Tortosa-Ausina, Emili, 2011. "A network perspective on international banking integration," Journal of Policy Modeling, Elsevier, vol. 33(6), pages 831-851.
    6. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    7. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    8. Igan, Deniz & Kabundi, Alain & De Simone, Francisco Nadal & Tamirisa, Natalia, 2017. "Monetary policy and balance sheets," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 169-184.
    9. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
    10. Claudio Borio & Craig Furfine & Philip Lowe, 2001. "Procyclicality of the financial system and financial stability: issues and policy options," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 1-57, Bank for International Settlements.
    11. Iwanicz-Drozdowska, Małgorzata & Smaga, Paweł & Witkowski, Bartosz, 2016. "Bank restructuring in the EU: Which way to go?," Journal of Policy Modeling, Elsevier, vol. 38(3), pages 572-586.
    12. Bank for International Settlements, 2011. "Macroprudential regulation and policy," BIS Papers, Bank for International Settlements, number 60.
    13. Castiglionesi, F. & Navarro, N., 2007. "Optimal Fragile Financial Networks," Other publications TiSEM ba4eec21-b8d3-4eb3-9cca-4, Tilburg University, School of Economics and Management.
    14. Hoo-Kyu Rhu, 2011. "Macroprudential policy framework," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 120-123, Bank for International Settlements.
    15. Claudio Borio, 2003. "Towards a Macroprudential Framework for Financial Supervision and Regulation?," CESifo Economic Studies, CESifo Group, vol. 49(2), pages 181-215.
    16. Tsuyoshi Deguchi & Katsuhide Takahashi & Hideki Takayasu & Misako Takayasu, 2014. "Hubs and Authorities in the World Trade Network Using a Weighted HITS Algorithm," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-16, July.
    17. Adam Zawadowski, 2013. "Entangled Financial Systems," The Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1291-1323.
    18. Arnold, Ivo J.M., 2012. "Sovereign debt exposures and banking risks in the current EU financial crisis," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 906-920.
    19. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    20. Tiziano Squartini & Iman van Lelyveld & Diego Garlaschelli, 2013. "Early-warning signals of topological collapse in interbank networks," Papers 1302.2063, arXiv.org, revised Nov 2013.
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    Cited by:

    1. Nakatani, Ryota, 2020. "Macroprudential policy and the probability of a banking crisis," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1169-1186.
    2. Silva, Thiago Christiano & Guerra, Solange Maria & Tabak, Benjamin Miranda, 2020. "Fiscal risk and financial fragility," Emerging Markets Review, Elsevier, vol. 45(C).
    3. Chollete, Lorán & Jaffee, Dwight & Mamun, Khawaja A., 2022. "Policy suggestions from a simple framework with extreme outcomes," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 374-398.
    4. Spelta, A. & Flori, A. & Pecora, N. & Pammolli, F., 2021. "Financial crises: Uncovering self-organized patterns and predicting stock markets instability," Journal of Business Research, Elsevier, vol. 129(C), pages 736-756.
    5. Jose Arreola Hernandez & Sang Hoon Kang & Ron P. McIver & Seong-Min Yoon, 2021. "Network Interdependence and Optimization of Bank Portfolios from Developed and Emerging Asia Pacific Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 613-647, December.
    6. Anastasios Demertzidis, 2019. "Interbank transactions on the intraday frequency: -Different market states and the effects of the financial crisis-," MAGKS Papers on Economics 201932, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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    More about this item

    Keywords

    Tensor decomposition; Early warnings; Evolving networks; Interbank market; Systemically important financial institutions;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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