• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

Menkveld, A. and Wang, T. (2013). How do Designated Market Makers Create Value for Small-Cap Stocks? Journal of Financial Markets, 16(3):571--603.


  • Journal
    Journal of Financial Markets

A poor liquidity level and a high liquidity risk significantly raise the required return for small-cap stocks. Euronext allows these firms to hire designated market makers (DMMs) who guarantee a minimum liquidity supply for a lump sum annual fee. In an event study based on 74 DMM stocks, we find that the contract improves liquidity level, reduces liquidity risk, and generates an average abnormal return of 3.5%. DMMs participate in more trades and incur a trading loss on high quoted-spread days (days when their constraint is likely to bind). Finally, DMMs reduce the size of pricing errors. {\textcopyright} 2013 Elsevier B.V.