{
  "title": "Automating the Price Discovery Process: Some International Comparisons and Regulatory Implications",
  "publication": "IMF Working Papers, October 1, 1992",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2016/12/30/automating-the-price-discovery-process-some-international-comparisons-and-regulatory-831",
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  "summary": "Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process. Seven levels of automation of price discovery are identified, and 47 systems are classified according to these criteria.",
  "sections": [
    {
      "heading": "Summary",
      "content": "- Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process.\n- Seven levels of automation of price discovery are identified.\n- 47 systems are classified according to these criteria.\n- Systems operating at various levels of automation are compared with respect to age, geographical location, and type of securities traded.\n- Information provided to market participants, and asymmetries of information between traders with direct access to the automated market and outside investors, are examined.\n- It is found that the degree of asymmetric information increases with the level of automation of price discovery.\n- The potential for trading abuses related to prearranged trading, noncompetitive execution, and trading ahead of customers is analyzed for each level of automation.\n- Certain levels of automation widen the opportunities for trading abuses in some respects, but may narrow them in others."
    },
    {
      "heading": "Key findings and observations",
      "content": "- Seven distinct levels of automation of price discovery are identified (levels described in the source).\n- 47 automated trade execution systems are classified by these levels.\n- Comparative dimensions assessed:\n  - Age of systems.\n  - Geographical location (including North America as a listed subject/keyword).\n  - Type of securities traded (Stocks, Futures, Options).\n- Information asymmetry:\n  - Degree of asymmetric information increases with the level of automation of price discovery.\n  - Differences in information provided to market participants are examined, including asymmetries between traders with direct access to the automated market and outside investors.\n- Trading-abuse vulnerabilities:\n  - Potential abuses analyzed include prearranged trading, noncompetitive execution, and trading ahead of customers.\n  - Analysis is conducted for each level of automation, noting that some automation levels widen certain abuse opportunities while narrowing others."
    },
    {
      "heading": "Methodology and scope",
      "content": "- Classification exercise of 47 systems across seven automation levels.\n- Comparative analysis across system age, geography, and securities types.\n- Examination of information provision and asymmetries between market participants.\n- Abuse-potential analysis focused on specific trading abuses (prearranged trading, noncompetitive execution, trading ahead of customers)."
    },
    {
      "heading": "Policy and regulatory implications (as analyzed in the paper)",
      "content": "- Regulatory implications are considered in light of how different levels of automation affect:\n  - Information asymmetries between direct-access traders and outside investors.\n  - Opportunities for trading abuses such as prearranged trading, noncompetitive execution, and trading ahead of customers.\n- The analysis identifies that certain automation levels can both widen and narrow opportunities for trading abuses, implying nuanced regulatory responses dependent on the level of automation.\n\n---\n\n\nSource: https://www.imf.org/en/publications/wp/issues/2016/12/30/automating-the-price-discovery-process-some-international-comparisons-and-regulatory-831"
    }
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    "Authors: Ian Domowitz",
    "Published: October 1, 1992",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781451850253.001",
    "Automated trade execution systems are examined with respect to the degree to which they automate the price discovery process.",
    "Seven levels of automation of price discovery are identified.",
    "47 systems are classified according to these criteria.",
    "Systems operating at various levels of automation are compared with respect to age, geographical location, and type of securities traded.",
    "Information provided to market participants, and asymmetries of information between traders with direct access to the automated market and outside investors, are examined.",
    "It is found that the degree of asymmetric information increases with the level of automation of price discovery.",
    "The potential for trading abuses related to prearranged trading, noncompetitive execution, and trading ahead of customers is analyzed for each level of automation.",
    "Certain levels of automation widen the opportunities for trading abuses in some respects, but may narrow them in others.",
    "Seven distinct levels of automation of price discovery are identified (levels described in the source).",
    "47 automated trade execution systems are classified by these levels.",
    "Comparative dimensions assessed:",
    "Information asymmetry:",
    "Trading-abuse vulnerabilities:",
    "Classification exercise of 47 systems across seven automation levels.",
    "Comparative analysis across system age, geography, and securities types.",
    "Examination of information provision and asymmetries between market participants.",
    "Abuse-potential analysis focused on specific trading abuses (prearranged trading, noncompetitive execution, trading ahead of customers).",
    "Regulatory implications are considered in light of how different levels of automation affect:",
    "The analysis identifies that certain automation levels can both widen and narrow opportunities for trading abuses, implying nuanced regulatory responses dependent on the level of automation."
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