Skip header navigation

University of Stirling

×

Article

Choosing Among Alternative Long-Run Event-Study Techniques

Citation
Dionysiou D (2015) Choosing Among Alternative Long-Run Event-Study Techniques. Journal of Economic Surveys, 29 (1), pp. 158-198. https://doi.org/10.1111/j.1467-6419.2012.00742.x

Abstract
This paper reviews the long-run event-study debate by outlining the strengths and weakness of the most commonly used alternative techniques. The fist part of the discussion highlights that prior literature has failed to provide a single risk-adjusted model of long-run abnormal returns with no biases. Subsequently, the paper provides guidance on how one can choose among pertinent alternative techniques. As a conclusion, researchers ought to choose among alternative techniques after considering issues such as (i) the nature of dataset and market of interest, (ii) the event type (regulatory or corporate), (iii) returns' time-interval, (iv) association of the event with accounting data, (v) sample characteristics and prior evidence regarding similar events, as well as (vi) risk changes following the event. Robustness tests are essential, while the road for further research regarding the appropriate technique(s) is open.

Keywords
Long-run abnormal returns; Bad model problems; Statistical tests; Chosen techniques; Robustness tests

Journal
Journal of Economic Surveys: Volume 29, Issue 1

StatusPublished
Author(s)Dionysiou, Dionysia
Publication date28/02/2015
Publication date online03/10/2012
URLhttp://hdl.handle.net/1893/16696
PublisherWiley-Blackwell
ISSN0950-0804
Scroll back to the top