{
  "title": "Modeling the Reserve Demand to Facilitate Central Bank Operations",
  "publication": "IMF Working Papers, September 1, 2023",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2023/09/01/modeling-the-reserve-demand-to-facilitate-central-bank-operations-538754",
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  "summary": "Implementing monetary policy largely consists in controlling short-term interest rates which supposes having a good understanding of banks’ demand for liquidity also called “reserves” at the central bank.",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Title: Modeling the Reserve Demand to Facilitate Central Bank Operations\n- Authors: Zhuohui Chen, Nikolaos Kourentzes, Romain M Veyrune\n- Date: September 1, 2023\n- Type: IMF Working Papers\n- Summary points:\n  - The work offers a modeling methodology for estimating banks’ demand for liquidity (“reserves”) at the central bank.\n  - The demand for reserves is influenced by various macro and market structure variables.\n  - The model helps central banks identify “stable points” on the demand for reserves—levels of reserves for which short-term interest rate volatility is minimal.\n  - Both parametric and non-parametric approaches are provided, with a focus on capturing modeling uncertainty and facilitating scenario analysis.\n  - The methodology is evaluated using data from the Eurosystem and the US Federal Reserve System."
    },
    {
      "heading": "Methodology",
      "content": "- Modeling approaches provided:\n  - Parametric expressions.\n  - Non-parametric approaches.\n- Modeling objectives and features:\n  - Capture the influence of macro and market structure variables on reserve demand.\n  - Explicit focus on modeling uncertainty to facilitate scenario analysis.\n  - Provide a method to test forecasting performance across approaches and combinations of exogenous regressors."
    },
    {
      "heading": "Key findings",
      "content": "- Forecasting and model-performance findings:\n  - Simpler parametric expressions provide on balance better performances.\n  - Adding variables to both parametric and non-parametric models provides better explanations and predictions.\n- Operational insight:\n  - Identification of “stable points” where short-term interest rate volatility is minimal aids central bank operations and implementation of monetary policy."
    },
    {
      "heading": "Evaluation and data",
      "content": "- Empirical evaluation:\n  - Proposed methodology evaluated using data from the Euro system and the US Federal Reserve System.\n- Performance testing:\n  - A method is proposed to test the forecasting performances of different approaches and exogenous regressor combinations."
    },
    {
      "heading": "Policy implications and applications",
      "content": "- Use for central banks:\n  - Inform central bank operations by estimating reserve demand and locating stability points for short-term interest rates.\n  - Facilitate scenario analysis by explicitly modeling uncertainty.\n- Practical recommendation:\n  - Consider simpler parametric specifications where forecasting performance is a priority, while augmenting models with additional relevant variables to improve explanation and prediction.\n\n---\n\n Content in this bundle\n\n- Working Paper\n  - Working Paper (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Working Paper (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2023/09/01/modeling-the-reserve-demand-to-facilitate-central-bank-operations-538754"
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    "Authors: Zhuohui Chen, Nikolaos Kourentzes, Romain M Veyrune",
    "Published: September 1, 2023",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9798400253348.001",
    "Title: Modeling the Reserve Demand to Facilitate Central Bank Operations",
    "Authors: Zhuohui Chen, Nikolaos Kourentzes, Romain M Veyrune",
    "Date: September 1, 2023",
    "Type: IMF Working Papers",
    "Summary points:",
    "Modeling approaches provided:",
    "Modeling objectives and features:",
    "Forecasting and model-performance findings:",
    "Operational insight:",
    "Empirical evaluation:",
    "Performance testing:",
    "Use for central banks:",
    "Practical recommendation:",
    "**Working Paper**"
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