Event studies with daily stock returns in Stata: Which command to use?

in Stata Journal (in press)

This article provides an overview of existing community-contributed commands for executing event studies. I assess which command(s) could have been used to conduct event studies that have appeared in the ... [more ▼]

This article provides an overview of existing community-contributed commands for executing event studies. I assess which command(s) could have been used to conduct event studies that have appeared in the past ten years in three leading accounting, finance and management journals. The older command eventstudy provides a comfortable graphical user interface and good functionality for event studies that do not require hypotheses testing. The command estudy described in Pacicco et al. (2018, Stata Journal 18(2), pp. 416–476; 2020, Stata Journal, forthcoming) provides a set of commonly applied test statistics, useful exporting routines to spreadsheet software and LATEX for event studies with a limited number of events. The most complete command in terms of available test statistics and benchmark models as well as its ability to handle events with insufficient data, thin trading and large samples is eventstudy2 [less ▲]

Kernel-smoothed cumulative distribution function estimation with akdensity

in Stata Journal (2012), 12(3), 543-548

In this article, I describe estimation of the kernel-smoothed cumulative distribution function with the user-written package akdensity, with formulas and an example.