• Graduate program
  • Research
  • Summer School
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • Foundations of Machine Learning with Applications in Python
      • From preference to choice: The Economic Theory of Decision-Making
      • Gender in Society
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 16th Tinbergen Institute Annual Conference
    • Annual Tinbergen Institute Conference
  • News
  • Alumni
  • Magazine

Hendershott, T., Jones, M. and Menkveld, A. (2011). Does algorithmic trading improve liquidity The Journal of Finance, 66(1):1--33.


  • Journal
    The Journal of Finance

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade-related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes. {\textcopyright} 2011 the American Finance Association.