Accessibility navigation

Socially responsible investment portfolios: does the optimization process matter?

Oikonomou, I., Platanakis, E. and Sutcliffe, C. ORCID: (2018) Socially responsible investment portfolios: does the optimization process matter? The British Accounting Review, 50 (4). pp. 379-401. ISSN 0890-8389

Text - Accepted Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/


This study investigates the impact of the choice of optimization technique when constructing Socially Responsible Investment (SRI) portfolios. Corporate Social Performance (CSP) scores are price sensitive information that is subject to considerable estimation risk. Therefore, uncertainty in the input parameters is greater for SRI portfolios than conventional portfolios, and this affects the selection of the appropriate optimization method. We form SRI portfolios based on six different approaches and compare their performance along the dimensions of risk, risk-return trade-off, diversification and stability. Our results for SRI portfolios contradict those of the conventional portfolio optimization literature. We find that the more “formal” optimization approaches (Black-Litterman, Markowitz and robust estimation) lead to SRI portfolios that are both less risky and have superior risk-return trade-offs than do more simplistic approaches; although they also have more unstable asset allocations and lower diversification. Our conclusions are robust to a series of tests, including the use of different estimation windows and stricter screening criteria.

Item Type:Article
Divisions:Henley Business School > ICMA Centre
ID Code:73426


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation