{
  "title": "Capital Flow Data – A Guide for Empirical Analysis and Real-time Tracking",
  "publication": "IMF Working Papers, August 21, 2020",
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  "summary": "This paper provides an analytical overview of the most widely used capital flow datasets. The paper is written as a guide for academics who embark on empirical research projects and for policymakers who need timely information on capital flow developments to inform their decisions.",
  "sections": [
    {
      "heading": "Overview and Purpose",
      "content": "- Provides an analytical overview of the most widely used capital flow datasets.\n- Written as a guide for:\n  - Academics embarking on empirical research projects.\n  - Policymakers who need timely information on capital flow developments to inform decisions.\n- Addresses common misconceptions about capital flow data and differences between high-frequency proxies for portfolio flows."
    },
    {
      "heading": "Data and New Dataset Construction",
      "content": "- Constructs a new dataset for academic use consisting of monthly portfolio flows broadly consistent with balance of payments (BoP) data.\n- Emphasizes alignment between high-frequency proxies and official BoP portfolio flow measures."
    },
    {
      "heading": "Methods and Empirical Strategy",
      "content": "- Discusses differences between high-frequency proxies for portfolio flows and their interpretation relative to BoP statistics.\n- Implements a nowcasting “horse race” to evaluate predictive content."
    },
    {
      "heading": "Key Empirical Finding(s)",
      "content": "- In the nowcasting “horse race,” high-frequency proxies have significant predictive content for portfolio flows from the balance of payments (BoP)."
    },
    {
      "heading": "Target Audience and Applications",
      "content": "- Academics conducting empirical analysis of capital flows.\n- Policymakers and analysts seeking real-time or timely indicators of portfolio flow developments to inform decision-making."
    },
    {
      "heading": "Publication and Identifiers",
      "content": "- Authors: Robin Koepke, Simon Paetzold\n- Publication date: August 21, 2020\n- Series: Working Paper No. 2020/171\n- Issue: 171\n- Volume: 2020\n- Pages: 47\n- DOI: https://doi.org/10.5089/9781513554495.001\n- Stock No: WPIEA2020171\n- ISBN: 9781513554495\n- ISSN: 1018-5941"
    },
    {
      "heading": "Subjects and Keywords",
      "content": "- Subjects: Balance of payments, Balance of payments statistics, Capital flows, Economic and financial statistics, Emerging and frontier financial markets, Financial institutions, Financial markets, Flow of funds, National accounts, Stocks\n- Keywords: Africa, balance of payments, Balance of payments statistics, Capital flows, coincident indicators, debt flow, Emerging and frontier financial markets, flow data, Flow of funds, flow proxy, fund flows, Global, IIF data, IMF balance of payments data, IMF balance of payments statistic, portfolio flow, portfolio flows, Stocks, WP\n\nIMF Working Paper No. 2020/171 (August 21, 2020) — Capital Flow Data – A Guide for Empirical Analysis and Real-time Tracking\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/2020/08/21/capital-flow-data-a-guide-for-empirical-analysis-and-real-time-tracking-49646"
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    "Authors: Robin Koepke, Simon Paetzold",
    "Published: August 21, 2020",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781513554495.001",
    "Provides an analytical overview of the most widely used capital flow datasets.",
    "Written as a guide for:",
    "Addresses common misconceptions about capital flow data and differences between high-frequency proxies for portfolio flows.",
    "Constructs a new dataset for academic use consisting of monthly portfolio flows broadly consistent with balance of payments (BoP) data.",
    "Emphasizes alignment between high-frequency proxies and official BoP portfolio flow measures.",
    "Discusses differences between high-frequency proxies for portfolio flows and their interpretation relative to BoP statistics.",
    "Implements a nowcasting “horse race” to evaluate predictive content.",
    "In the nowcasting “horse race,” high-frequency proxies have significant predictive content for portfolio flows from the balance of payments (BoP).",
    "Academics conducting empirical analysis of capital flows.",
    "Policymakers and analysts seeking real-time or timely indicators of portfolio flow developments to inform decision-making.",
    "Authors: Robin Koepke, Simon Paetzold",
    "Publication date: August 21, 2020",
    "Series: Working Paper No. 2020/171",
    "Issue: 171",
    "Volume: 2020",
    "Pages: 47",
    "DOI: https://doi.org/10.5089/9781513554495.001",
    "Stock No: WPIEA2020171",
    "ISBN: 9781513554495",
    "ISSN: 1018-5941",
    "Subjects: Balance of payments, Balance of payments statistics, Capital flows, Economic and financial statistics, Emerging and frontier financial markets, Financial institutions, Financial markets, Flow of funds, National accounts, Stocks",
    "Keywords: Africa, balance of payments, Balance of payments statistics, Capital flows, coincident indicators, debt flow, Emerging and frontier financial markets, flow data, Flow of funds, flow proxy, fund flows, Global, IIF data, IMF balance of payments data, IMF balance of payments statistic, portfolio flow, portfolio flows, Stocks, WP",
    "**Working Paper**"
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