Title
Multicriteria decision aid models for the prediction of securities class actions: evidence from the banking sector
Abstract
In recent years, there has been an increase in the number and value of securities class actions (SCAs), attracting the attention of various stakeholders such as investors, managers, policy makers, lawyers, etc. The present study extends the literature, by investigating for the first time the development of a classification model to forecast SCAs filed against US banks. Our results show that the proposed multicriteria decision aid model achieves a satisfactory accuracy, by classifying correct around 80 % of the banks in an out-of-sample testing. We obtain similar results when we use a walk-forward approach, instead of a tenfold cross-validation technique, for the estimation and testing of the model. Further analysis indicates that the classification accuracies can improve further by the inclusion of a corporate governance indicator that relates to executive and director compensation and ownership.
Year
DOI
Venue
2014
10.1007/s00291-013-0333-8
OR Spectrum
Keywords
Field
DocType
classification model,classification accuracy,us bank,proposed multicriteria decision aid,cross-validation technique,securities class action,out-of-sample testing,director compensation,policy maker,multicriteria decision aid model,present study,corporate governance indicator,banking sector
Corporate governance,Economics,Actuarial science,Operations management
Journal
Volume
Issue
ISSN
36
1
1436-6304
Citations 
PageRank 
References 
3
0.37
7
Authors
4
Name
Order
Citations
PageRank
Vassiliki Balla130.37
Chrysovalantis Gaganis2606.72
Fotios Pasiouras313311.01
Constantin Zopounidis4106690.47