Project

Investigation into the added value of mutual funds by using transactional data

Duration
01 October 2010 → 30 November 2012
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Research disciplines
  • Social sciences
    • Applied economics
Keywords
mutual funds behavioral finance earnings announcements
 
Project description

We use an extensive dataset of actual transactions of mutual funds to examine whether they are indeed able to beat the market by generating an excess return. We are innovative in the sense that use transactions, and therefore do not have to proxy transactions as the difference between two ensuing portfolio compositions.