• Graduate Program
    • Why study Business Data Science?
    • Research Master
    • Admissions
    • Course Registration
    • Facilities
  • Summer School
  • Research
  • News
  • Events
    • Events Calendar
    • Events archive
    • Tinbergen Institute Lectures
    • Summer School
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Foundations of Machine Learning with Applications in Python
      • Machine Learning for Business
      • Marketing Research with Purpose
      • Sustainable Finance
      • Tuition Fees and Payment
      • Tinbergen Institute Summer School Program
    • Annual Tinbergen Institute Conference archive
  • Alumni
  • Magazine

Pfeil, S. and Hoffmann, F. (2010). Reward for luck in a dynamic agency model Review of Financial Studies, 23(9):3329--3345.


  • Journal
    Review of Financial Studies

This article studies a continuous time principal-agent problem of a firm whose cash flows are determined by the manager's unobserved effort. The firm's cash flows are further subject to persistent and publicly observable shocks that are beyond the manager's control. While standard contracting models predict that compensation should optimally filter out these shocks, empirical evidence suggests otherwise. In line with this evidence, our model predicts that the manager is “rewarded for luck.”