Traditional event study methods use regression models to estimate market models and conduct statistical tests. We present a method based on option-implied information about the distribution of stock returns and the co-movement with return factors. This method decreases the reliance on historical market information, uses more contemporaneous inputs, and avoids potential bias from standard regression approaches. We derive this method for one- and two-factor models and provide illustrations of how it compares to the historical and in-sample approaches. We discuss empirical implementation issues and situations where this forward-looking approach might be most appropriate.
Semiannual reporting threatens enforcement of insider trading
CRA’s Swati Kanoria has co-authored a new article with Douglas Miller and Val Bianchi-Demicheli of Boies Schiller Flexner LLP, in which they assess how the...