• Graduate Program
    • Why study Business Data Science?
    • Program Outline
    • Courses
    • Course Registration
    • Admissions
    • Facilities
  • Research
  • News
  • Events
  • Alumni

Hendershott, T., Menkveld, AlbertJ., Praz, R. and Seasholes, M. (2022). Asset Price Dynamics with Limited Attention Review of Financial Studies, 35(2):962--1008.

  • Journal
    Review of Financial Studies

We identify long-lived pricing errors through a model in which inattentive investors arrive stochastically to trade. The model's parameters are structurally estimated using daily NYSE market-maker inventories, retail order flows, and prices. The estimated model fits empirical variances, autocorrelations, and cross-autocorrelations among our three data series from daily to monthly frequencies. Pricing errors for the typical NYSE stock have a standard deviation of 3.2 percentage points and a half-life of 6.2 weeks. These pricing errors account for 9.4$%$, 7.0$%$, and 4.5$%$ of the respective daily, monthly, and quarterly idiosyncratic return variances.