{
  "title": "Contingent Liabilities from Banks: How to Track Them?",
  "publication": "IMF Working Papers, December 9, 2015",
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  "summary": "In this paper, we develop a methodology to assess potential losses to the government that could arise from bank failures. The approach is intended to be simple, parsimonious, and used in real time.",
  "sections": [
    {
      "heading": "Methodology",
      "content": "- Develops a methodology to assess potential losses to the government that could arise from bank failures.\n- Approach objectives: simple, parsimonious, and usable in real time.\n- Produces an index called the banking sector contingent liability index (BCLI)."
    },
    {
      "heading": "Index construction and components",
      "content": "- BCLI is based on the following banking-sector attributes:\n  - size\n  - concentration\n  - diversification\n  - leverage\n  - riskiness of assets"
    },
    {
      "heading": "Illustration and sample",
      "content": "- The index is illustrated for 32 advanced and emerging market economies.\n- Time coverage of the illustration: 2006 to 2013.\n- Also illustrated for a group of banks including global systemically important banks (G-SIBs)."
    },
    {
      "heading": "Subjects and keywords",
      "content": "- Subject: Banking, Banking crises, Commercial banks, Contingent liabilities, Financial crises, Financial institutions, Global financial crisis of 2008-2009, Public financial management (PFM)\n- Keywords: asset volatility, bank Distress, bank liability, bank resolutions cost, Banking crises, banking sector, Commercial banks, Contingent Liabilities, distress probability, Global, Global financial crisis of 2008-2009, Sovereign Risk, support measure, WP"
    },
    {
      "heading": "Summary of contributions",
      "content": "- Provides a real-time, parsimonious indicator (BCLI) to monitor government exposure to contingent liabilities from banks.\n- Combines structural banking-sector characteristics into a single index for cross-country and cross-bank comparison.\n- Demonstrates application across a broad sample of economies and a set of G-SIBs for the period 2006–2013.\n\nSource: IMF Working Paper \"Contingent Liabilities from Banks: How to Track Them?\", Serkan Arslanalp and Yin Liao, Working Paper No. 2015/255.\n\n---\n\n Content in this bundle\n\n- wp15255\n  - wp15255 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - wp15255 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2016/12/31/contingent-liabilities-from-banks-how-to-track-them-43443"
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    "Authors: Serkan Arslanalp, Yin Liao",
    "Published: December 9, 2015",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781513568560.001",
    "Develops a methodology to assess potential losses to the government that could arise from bank failures.",
    "Approach objectives: simple, parsimonious, and usable in real time.",
    "Produces an index called the banking sector contingent liability index (BCLI).",
    "BCLI is based on the following banking-sector attributes:",
    "The index is illustrated for 32 advanced and emerging market economies.",
    "Time coverage of the illustration: 2006 to 2013.",
    "Also illustrated for a group of banks including global systemically important banks (G-SIBs).",
    "Subject: Banking, Banking crises, Commercial banks, Contingent liabilities, Financial crises, Financial institutions, Global financial crisis of 2008-2009, Public financial management (PFM)",
    "Keywords: asset volatility, bank Distress, bank liability, bank resolutions cost, Banking crises, banking sector, Commercial banks, Contingent Liabilities, distress probability, Global, Global financial crisis of 2008-2009, Sovereign Risk, support measure, WP",
    "Provides a real-time, parsimonious indicator (BCLI) to monitor government exposure to contingent liabilities from banks.",
    "Combines structural banking-sector characteristics into a single index for cross-country and cross-bank comparison.",
    "Demonstrates application across a broad sample of economies and a set of G-SIBs for the period 2006–2013.",
    "**_wp15255**"
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