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Towards a measure of financial fragility

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  • Aspachs, Oriol
  • Goodhart, Charles
  • Tsomocos, Dimitrios P.
  • Zicchino, Lea

Abstract

This paper proposes a measure of financial fragility that is based on economic welfare in a general equilbrium model calibrated against UK data. The model comprises a household sector, three active heterogeneous banks, a central bank/regulator, incomplete markets, and endogenous default. We address the impact of monetary and regulatory policy, credit and capital shocks in the real and financial sectors and how the response of the economy to shocks relates to our measure of financial fragility. Finally we use panel VAR techniques to investigate the relationships between the factors that characterise financial fragility in our model, i.e. banks’ probabilities of default and banks’ profits - to a proxy of welfare.

Suggested Citation

  • Aspachs, Oriol & Goodhart, Charles & Tsomocos, Dimitrios P. & Zicchino, Lea, 2006. "Towards a measure of financial fragility," LSE Research Online Documents on Economics 24508, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:24508
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    References listed on IDEAS

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    12. Goodhart, Charles A. E. & Sunirand, Pojanart & Tsomocos, Dimitrios P., 2004. "A model to analyse financial fragility: applications," Journal of Financial Stability, Elsevier, vol. 1(1), pages 1-30, September.
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    Cited by:

    1. Jokipii, Terhi & Monnin, Pierre, 2013. "The impact of banking sector stability on the real economy," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1-16.
    2. Tomas Konecny & Oxana Babecka-Kucharcukova, 2016. "Credit Spreads and the Links between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 302-321, August.
    3. Maria Kasselaki & Athanasios Tagkalakis, 2014. "Financial soundness indicators and financial crisis episodes," Annals of Finance, Springer, vol. 10(4), pages 623-669, November.
    4. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    5. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    6. Eric Tymoigne, 2014. "Measuring macroprudential risk through financial fragility: a Minskian approach," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(4), pages 719-744.
    7. Goodhart, C.A.E. & Sunirand, P. & Tsomocos, D.P., 2011. "The optimal monetary instrument for prudential purposes," Journal of Financial Stability, Elsevier, vol. 7(2), pages 70-77, June.
    8. De Graeve, F. & Kick, T. & Koetter, M., 2008. "Monetary policy and financial (in)stability: An integrated micro-macro approach," Journal of Financial Stability, Elsevier, vol. 4(3), pages 205-231, September.
    9. Dale F. Gray & Robert C. Merton & Zvi Bodie, 2007. "New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability," NBER Working Papers 13607, National Bureau of Economic Research, Inc.
    10. Kanas, Angelos, 2014. "Default risk and equity prices in the U.S. banking sector: Regime switching effects of regulatory changes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 244-258.
    11. Molterer, Manuel, 2019. "Tougher than the rest? The resilience of specialized financial intermediation to macroeconomic shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 163-174.
    12. Zineddine Alla & Mr. Raphael A Espinoza & Qiaoluan H. Li & Miguel A. Segoviano, 2018. "Macroprudential Stress Tests: A Reduced-Form Approach to Quantifying Systemic Risk Losses," IMF Working Papers 2018/049, International Monetary Fund.
    13. Patro, Dilip K. & Qi, Min & Sun, Xian, 2013. "A simple indicator of systemic risk," Journal of Financial Stability, Elsevier, vol. 9(1), pages 105-116.
    14. Volkova, Olga (Волкова, Ольга) & Lvova, Irina (Львова, Ирина), 2016. "The bank's rating, the rating agencies, Basel II of, financial indicator, the econometric model [Влияние Финансовых Показателей На Международные Рейтинги Российских Банков]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 177-195, February.
    15. Samitas, Aristeidis & Polyzos, Stathis, 2016. "Freeing Greece from capital controls: Were the restrictions enforced in time?," Research in International Business and Finance, Elsevier, vol. 37(C), pages 196-213.
    16. Susan Schroeder, 2009. "Defining and detecting financial fragility: New Zealand's experience," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(3), pages 287-307, February.
    17. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
    18. Eric Tymoigne, 2010. "Detecting Ponzi Finance: An Evolutionary Approach to the Measure of Financial Fragility," Economics Working Paper Archive wp_605, Levy Economics Institute.

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    More about this item

    Keywords

    Financial fragility; Banks; Regulatory policy; Monetary policy; Equilibrium analysis.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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