{
  "title": "The Anatomy of Banking Crises",
  "publication": "IMF Working Papers, April 1, 2008",
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  "summary": "This paper uses a Binary Classification Tree (BCT) model to analyze banking crises in 50 emerging market and developing countries during 1990-2005. The BCT identifies key indicators and their threshold values at which vulnerability to banking crisis increases.",
  "sections": [
    {
      "heading": "Methodology",
      "content": "- Model: Binary Classification Tree (BCT) model.\n- Sample: 50 emerging market and developing countries during 1990-2005.\n- Purpose: Identify key indicators and their threshold values at which vulnerability to banking crisis increases."
    },
    {
      "heading": "Key findings",
      "content": "- The BCT identifies three crisis-prone conditions:\n  - (i) very high inflation.\n  - (ii) highly dollarized bank deposits combined with nominal depreciation or low liquidity.\n  - (iii) low bank profitability.\n- Interpretation: Foreign currency risk, poor financial soundness, and macroeconomic instability are key vulnerabilities triggering banking crises.\n- The main results survive under alternative robustness checks, confirming the importance of the BCT approach for monitoring banking system vulnerabilities."
    },
    {
      "heading": "Robustness and validation",
      "content": "- Results remain valid under alternative robustness checks (no numerical alterations provided in the source text)."
    },
    {
      "heading": "Policy implications and monitoring",
      "content": "- Monitoring frameworks should track:\n  - inflation levels, including episodes of very high inflation;\n  - liability dollarization measures (highly dollarized bank deposits) together with exchange rate pressures (nominal depreciation) and liquidity indicators;\n  - bank profitability metrics to detect low profitability regimes.\n- Use of BCT-based indicator thresholds can strengthen early-warning systems for banking system vulnerabilities.\n\n---\n\n Content in this bundle\n\n- wp0893\n  - wp0893 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - wp0893 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2016/12/31/the-anatomy-of-banking-crises-21894"
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    "[Markdown version](/en/publications/wp/issues/2016/12/31/the-anatomy-of-banking-crises-21894/index.md)",
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    "Authors: Rupa Duttagupta, Paul Cashin",
    "Published: April 1, 2008",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781451869545.001",
    "Model: Binary Classification Tree (BCT) model.",
    "Sample: 50 emerging market and developing countries during 1990-2005.",
    "Purpose: Identify key indicators and their threshold values at which vulnerability to banking crisis increases.",
    "The BCT identifies three crisis-prone conditions:",
    "Interpretation: Foreign currency risk, poor financial soundness, and macroeconomic instability are key vulnerabilities triggering banking crises.",
    "The main results survive under alternative robustness checks, confirming the importance of the BCT approach for monitoring banking system vulnerabilities.",
    "Results remain valid under alternative robustness checks (no numerical alterations provided in the source text).",
    "Monitoring frameworks should track:",
    "Use of BCT-based indicator thresholds can strengthen early-warning systems for banking system vulnerabilities.",
    "**_wp0893**"
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