Because of non-normality of stock returns nonparametric rank tests are gaining incremental popularity over parametric tests in event studies. In rank tests multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. We propose modifications to the existing approach that...

This study applies a rolling estimation window approach to adjust for time-varying risk parameters in asset pricing models to compute long-run abnormal returns after major corporate events. Abnormal returns are defined as realized returns minus predicted returns on each day in a five-year,...