Please use this identifier to cite or link to this item:
Title: Investigating factors predicting derivative mishandling : a sociological perspective
Authors: Grima, Simon
Seychell, Sharon
Bezzina, Frank
Keywords: Derivative securities -- Law and legislation
Derivative securities -- Mathematical models
Issue Date: 2017
Publisher: International Strategic Management Association
Citation: Grima, S., Seychell, S., & Bezzina, F. H. (2017). Investigating factors predicting derivative mishandling : a sociological perspective. European Research Studies Journal, 20(4A), 3-17.
Abstract: The purpose of this paper is to determine whether experience with derivatives, level of education, anomic behaviour, introversion, environmental influence and competitiveness can predict derivative mishandling. A study was conducted amongst 268 users of derivatives. Respondents were asked to indicate their level of education, and the experience (in years) using derivatives. Additionally, they were requested to rate their level of agreement with each of 12 statements on a four-point scale ranging from strongly disagree (coded as 1) to strongly agree (coded as 4). Derivative mishandling increases with lack of experience, higher levels of anomic behaviour, competitiveness and environmental influence. Education and introversion did not emerge as a significant predictor of derivative mishandling. This study contributes to the literature by highlighting the importance of understanding whether derivative users show signs of Organization Anomie, since this can help in predicting mishandling.
Appears in Collections:European Research Studies Journal, Volume 20, Issue 4, Part A
Scholarly Works - FacEMAIns
Scholarly Works - FacEMAMAn

Files in This Item:
File Description SizeFormat 
1.GRIMA_4A_17.pdf172.54 kBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.