Grassi, Stefano, Nicolosi, Marco, Stanghellini, Elena (2014) Item Response Models to measure Corporate Social Responsibility. Applied Financial Economics, 24 (22). pp. 1449-1464. ISSN 0960-3107. (doi:10.1080/09603107.2014.925070) (KAR id:49294)
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Official URL: http://dx.doi.org/10.1080/09603107.2014.925070 |
Abstract
Corporate Social Responsibility (CSR) is a multidimensional con-
cept that involves several aspects, ranging from Environment, to Social
and Governance. Companies aiming to comply with CSR standards
have to face challenges that vary from one aspect to the other and
from one industry to the other. Latent variable models may be use-
fully employed to provide a unidimensional measure of the grade of
compliance of a firm with CSR standards that is both understand-
able and theoretically solid. A methodology based on Item Response
Theory has been implemented on the multidimensional sustainability
rating as expressed by KLD dataset from 1991 to 2007. Results sug-
gest that companies in the industry Oil & Gas together with firms
in Industrials, Basic Materials and Telecommunications have a higher
difficulty to meet the CSR standards. Criteria based on Human rights,
Environment, Community and Product quality have a large capacity
to select the best performing firms, as they are very discriminant, while
Governance does not exhibit similar behavior. A stock selection based
on the ranking of the firms according to the proposed CSR measure
supports the hypothesis of a positive relationship between CSR and
financial performance
Item Type: | Article |
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DOI/Identification number: | 10.1080/09603107.2014.925070 |
Uncontrolled keywords: | item Response Theory; Latent Variable Models; Portfolio management; Ranking; Socially Responsible Investment |
Subjects: | H Social Sciences > HG Finance |
Divisions: | Divisions > Division of Human and Social Sciences > School of Economics |
Depositing User: | Stefano Grassi |
Date Deposited: | 09 Jul 2015 14:24 UTC |
Last Modified: | 05 Nov 2024 10:33 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/49294 (The current URI for this page, for reference purposes) |
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