Measurement of Assets’ Social Responsibility Degree
Mila Bravo (),
Ana B. Ruiz (),
David Pla-Santamaria () and
Paz Méndez-Rodrı́guez ()
Additional contact information
Mila Bravo: Universitat Politècnica de València
Ana B. Ruiz: Universidad de Málaga
David Pla-Santamaria: Universitat Politècnica de València
Paz Méndez-Rodrı́guez: Universidad de Oviedo
Chapter Chapter 4 in Socially Responsible Investment, 2015, pp 75-108 from Springer
Abstract:
Abstract As we have seen in Chap. 3 , one of the critical issues in SRI analysis is how to measure social responsibility levels of financial assets. Frequently, there is available disaggregated information on SRI strengths and concerns of assets from each socially responsible criterion. This information is usually provided by independent institutions like rating agencies. Most of the times the available data are presented in a disaggregated way and the individual investor has not got an aggregated indicator of the Social Responsibility Degree (SRD) of each asset. This indicator can be constructed in a subjective or objective way depending on the needs of each investor. In this chapter, we review the current practice and the most widely used methods in the academic literature mainly based on subjective approaches. In these approaches the aggregation weights depend on opinions and preferences of particular analysts, fund managers or investors.
Keywords: Corporate Social Responsibility; Social Responsibility; Corporate Governance; Mutual Fund; Socially Responsible Invest (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-11836-9_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319118369
DOI: 10.1007/978-3-319-11836-9_4
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().