Expected Completion Probability

Expected Completion Probability is a quantitative metric in merger arbitrage that estimates the likelihood of a proposed merger or acquisition successfully closing, distinguished from other risk assessment tools by its specific focus on the probabilistic evaluation of regulatory, legal, and financial hurdles impacting deal completion.

44

Publications

1.8K

Citations

104

Authors

68

Institutions

Publications per year

2017–2026

11

Authors

104

  1. PG
    Puya Ghazizadeh

    Old Dominion University, United States

    2 publications · 51 citations

    2

    h-index

  2. SG
    Stefano Giglio

    Yale University, United States

    2 publications · 125 citations

    2

    h-index

  3. KN
    Krishnanand N. Kaipa

    University of Maryland, College Park, United States

    2 publications · 25 citations

    2

    h-index

  4. CM
    Chandra M. R. Kintala

    AT&T (United States), United States

    2 publications · 124 citations

    2

    h-index

  5. MM
    Morris Meisner

    Nathan Kline Institute for Psychiatric Research, United States

    2 publications · 64 citations

    2

    h-index

1–5 of 104

Venues

  1. 3

    h-index

  2. Management Science

    2 publications · 89 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 23 citations

    2

    h-index

  4. Operations Research

    2 publications · 71 citations

    2

    h-index

  5. Quarterly journal of business and economics

    1 publications · 46 citations

    1

    h-index

1–5