Essec\Faculty\Model\Contribution {#2216
  #_index: "academ_contributions"
  #_id: "16053"
  #_source: array:26 [
    "id" => "16053"
    "slug" => "16053-v-shapes"
    "yearMonth" => "2025-10"
    "year" => "2025"
    "title" => "V-shapes"
    "description" => "FLORA, M. et RENO, R. (2025). V-shapes. <i>Journal of Banking and Finance</i>, 179(107521)."
    "authors" => array:2 [
      0 => array:3 [
        "name" => "RENO Roberto"
        "bid" => "B00798674"
        "slug" => "reno-roberto"
      ]
      1 => array:1 [
        "name" => "FLORA Maria"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:4 [
      0 => "Price reversals"
      1 => "Flash crashes"
      2 => "Market violations"
      3 => "Algorithmic trading"
    ]
    "updatedAt" => "2025-10-27 09:55:24"
    "publicationUrl" => "https://doi.org/10.1016/j.jbankfin.2025.107521"
    "publicationInfo" => array:3 [
      "pages" => ""
      "volume" => "179"
      "number" => "107521"
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => "Pays-Bas"
      "en" => "Netherlands"
    ]
    "abstract" => array:2 [
      "fr" => "We present a methodology for detecting flash crashes by identifying short-term V-shaped price reversals. Our approach, based on drift burst test statistics, aligns with the SEC’s forensic definition of market access rule violations, highlighting its potential as a market surveillance tool. Flash crashes have become more frequent over the past decade and are typically accompanied by high volumes, high volatility, and an increase in odd-lot trades. They are more likely to occur following periods of high volumes, elevated price impact, low volatility, and heightened algorithmic activity."
      "en" => "We present a methodology for detecting flash crashes by identifying short-term V-shaped price reversals. Our approach, based on drift burst test statistics, aligns with the SEC’s forensic definition of market access rule violations, highlighting its potential as a market surveillance tool. Flash crashes have become more frequent over the past decade and are typically accompanied by high volumes, high volatility, and an increase in odd-lot trades. They are more likely to occur following periods of high volumes, elevated price impact, low volatility, and heightened algorithmic activity."
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d'Information, Data Analytics et Opérations"
      "en" => "Information Systems, Data Analytics and Operations"
    ]
    "indexedAt" => "2025-12-06T07:21:43.000Z"
    "docTitle" => "V-shapes"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/reno-roberto">RENO Roberto</a>, FLORA Maria"
    "docDescription" => "<span class="document-property-authors">RENO Roberto, FLORA Maria</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2025</span>"
    "keywordList" => "<a href="#">Price reversals</a>, <a href="#">Flash crashes</a>, <a href="#">Market violations</a>, <a href="#">Algorithmic trading</a>"
    "docPreview" => "<b>V-shapes</b><br><span>2025-10 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1016/j.jbankfin.2025.107521" target="_blank">V-shapes</a>"
  ]
  +lang: "en"
  +"_score": 8.714207
  +"_ignored": array:2 [
    0 => "abstract.en.keyword"
    1 => "abstract.fr.keyword"
  ]
  +"parent": null
}