Skip to main content
Log in

Performances of socially responsible investment and environmentally friendly funds

  • General Paper
  • Published:
Journal of the Operational Research Society

Abstract

The socially responsible investment (SRI) funds performances remain inconclusive. Hence, more studies need to be conducted to determine if SRI funds systematically underperform or outperform conventional funds. This paper has employed dynamic mean-variance model using shortage function approach to evaluate the performance of SRI and Environmentally friendly funds (EF). Unlike the traditional methods, this approach estimates fund performance considering both the return and risk at the same time. The empirical results show that SRI funds outperformed conventional funds in EU and US. In addition, the results of EU are among the top-performing categories. EF do not perform as well as SRI, but perform in manners equal or superior to conventional funds. These results show statistically significant in some cases.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1

Similar content being viewed by others

Notes

  1. Examples of such institutions in the US are the Investor Responsibility Research Center (IRRC), KLD Research and Analytics Inc. (KLD), and Interfaith Center on Corporate Responsibility (ICCR).

  2. We are not claiming that our model prefers to multi-factor model nor comparing, instead, we intend to compare the relative position of SRI and EF with other categories.

  3. Detailed explanation of DR (a subset of S G ξ(X)) can be found in Briec and Kerstens (2009).

  4. S G ξ(X)=0.05 indicates that a portfolio will be on the Markowitz efficient frontier by increasing return and decreasing risk by 5%.

  5. We examined Jensen's (1968) alpha in Tables 2, 3 and 4.

  6. As explained above, IS indicates the potential for improvement compared with the most efficient funds, that is, the fund on the Markowitz efficient frontier. Lower the IS, the funds are better in current structure. Therefore, funds with lower IS are the best funds in the periods analysed.

  7. The Kolmogorov-Smirnov test is sensitive to differences in location and skewness as well as central tendency. It is a non-parametric test that is based on the observed deviations between the cumulative distribution functions for the two samples (Siegel and Castellan, 1988).

References

  • Basso A and Funari S (2001). A data envelopment analysis approach to measure the mutual fund performance. European Journal of Operational Research 135 (3): 477–492.

    Article  Google Scholar 

  • Basso A and Funari S (2005). A generalized performance attribution technique for mutual funds. Central European Journal of Operations Research 13 (1): 65–84.

    Google Scholar 

  • Bauer R, Koedijk K and Otten R (2005). International evidence on ethical mutual fund performance and investment style. Journal of Banking and Finance 29 (7): 1751–1767.

    Article  Google Scholar 

  • Bauer R, Otten R and Tourani RA (2006). Ethical investing in Australia: Is there a financial penalty? Pacific-Basin Finance Journal 14 (1): 33–48.

    Article  Google Scholar 

  • Bauer R, Derwall J and Otten R (2007). The ethical mutual fund performance debate: New evidence from Canada. Journal of Business Ethics 70 (2): 111–124.

    Article  Google Scholar 

  • Bello Z (2005). Socially responsible investing and portfolio diversification. Journal of Financial Research 28 (1): 41–57.

    Article  Google Scholar 

  • Briec W and Kerstens K (2009). Multi-horizon Markowitz portfolio performance appraisals: A general approach. OMEGA 37 (1): 50–62.

    Article  Google Scholar 

  • Capelle-Blancard G and Laguna MA (2010). How does the stock market respond to chemical disasters? Journal of Environmental Economics and Management 59 (2): 192–205.

    Article  Google Scholar 

  • Carhart MM (1997). On persistence in mutual fund performance. Journal of Finance 52 (1): 57–82.

    Article  Google Scholar 

  • Chang KP (2004). Evaluating mutual fund performance: An application of minimum convex input requirement set approach. Computer and Operations Research 31 (6): 929–940.

    Article  Google Scholar 

  • Chen YC, Chiu YH and Li MC (2011). Mutual fund performance evaluation—Application of system BCC model. South African Journal of Economics 79 (1): 1–16.

    Article  Google Scholar 

  • Chen Z and Lin R (2006). Mutual fund performance evaluation using data envelopment analysis with new risk measures. OR Spectrum 28 (3): 375–398.

    Article  Google Scholar 

  • Cooper WW, Seiford LM and Zhu J (eds) (2004). Data envelopment analysis: History, models and interpretations. Handbook on Data Envelopment Analysis. Kluwer Academic Publishers: Boston, MA, pp 1–39.

    Chapter  Google Scholar 

  • Daraio C and Simar L (2006). A robust nonparametric approach to evaluate and explain the performance of mutual funds. European Journal of Operational Research 175 (1): 516–542.

    Article  Google Scholar 

  • Førsund FR and Sarafoglou N (2005). The tale of two research communities: The diffusion of research on productive efficiency. International Journal of Production Economics 98 (1): 17–40.

    Article  Google Scholar 

  • Førsund FR, Kittelsen SAC and Krivonozhko VE (2009). Farrell revisited—Visualizing properties of DEA production frontiers. Journal of the Operational Research Society 60 (11): 1535–1545.

    Article  Google Scholar 

  • Galema R, Plantinga A and Scholtens B (2008). The stocks at stake: Return and risk in socially responsible investment. Journal of Banking and Finance 32 (12): 2646–2654.

    Article  Google Scholar 

  • Goldreyer EF and Diltz JD (1999). The performance of socially responsible mutual funds: Incorporating sociopolitical information in portfolio selection. Managerial Finance 25 (1): 23–36.

    Article  Google Scholar 

  • Gregoriou GN (2006). Trading efficiency of commodity trading advisors using data envelopment analysis. Derivatives Use, Trading and Regulation 12 (1): 102–114.

    Article  Google Scholar 

  • Gregoriou GN and Chen Y (2006). Evaluation of commodity trading advisors using fixed and variable benchmark models. Annals of Operations Research 145 (1): 183–200.

    Article  Google Scholar 

  • Gregoriou GN and McCarthy K (2005). Efficiency of funds of hedge funds: A data envelopment analysis approach. In: Gregoriou GN, Hubner G, Papageorgiou N and Rouah F (eds). Hedge Funds: Insights in Performance Measurement, Risk Analysis, and Portfolio Allocation. John Wiley & Sons: New Jersey, pp 365–380.

    Google Scholar 

  • Gregoriou GN and Zhu J (2007). Data envelopment analysis. The Journal of Portfolio Management 33 (2): 120–132.

    Article  Google Scholar 

  • Gregory A, Matatko J and Luther R (1997). Ethical unit trust financial performance: Small company effects and fund size effects. Journal of Business Finance and Accounting 24 (5): 705–724.

    Article  Google Scholar 

  • Hamilton S, Jo H and Statman M (1993). Doing well while doing good? The investment performance of socially responsible mutual funds. Financial Analysts Journal 49 (6): 62–66.

    Article  Google Scholar 

  • Hsu CS and Lin R (2007). Mutual fund performance and persistence in Taiwan: A non-parametric approach. The Service Industries Journal 27 (5): 509–523.

    Article  Google Scholar 

  • Jensen MC (1968). The performance of mutual funds in the period 1945-1964. Journal of Finance 23 (2): 389–416.

    Article  Google Scholar 

  • Kempf A and Osthoff P (2007). The effect of socially responsible investing on portfolio performance. European Financial Management 13 (5): 908–922.

    Article  Google Scholar 

  • Kreander N, Gray G, Power DM and Sinclair CD (2005). Evaluating the performance of ethical and non-ethical funds: A matched pair analysis. Journal of Business, Finance and Accounting 32 (7–8): 1465–1493.

    Article  Google Scholar 

  • Lin R and Chen Z (2008). New DEA performance evaluation indices and their applications in the American fund market. Asia-Pacific Journal of Operational Research 25 (4): 421–450.

    Article  Google Scholar 

  • Lintner J (1965). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics 47 (1): 13–37.

    Article  Google Scholar 

  • Luenberger DG (1992). Benefit functions and duality. Journal of Mathematical Economics 21 (5): 461–481.

    Article  Google Scholar 

  • Luenberger DG (1995). Microeconomic Theory. McGraw-Hill: Boston, MA.

    Google Scholar 

  • Luther R, Matatko J and Corner D (1992). The investment performance of UK ethical unit trusts. Accounting Auditing and Accountability Journal Review 5 (4): 57–70.

    Google Scholar 

  • Mallin CA, Saadouni B and Briston RJ (1995). The financial performance of ethical investment funds. Journal of Business Finance and Accounting 22 (4): 483–496.

    Article  Google Scholar 

  • Managi S, Okimoto T and Matsuda A (2012). Do socially responsible investment indexes outperform conventional indexes? Applied Financial Economics 22 (18): 1511–1527.

  • Morey MR and Morey RC (1999). Mutual fund performance appraisals: A multi-horizon perspective with endogenous benchmarking. OMEGA 27: 241–258.

    Article  Google Scholar 

  • Mossin J (1966). Equilibrium in a capital asset market. Econometrica 34 (6): 768–783.

    Article  Google Scholar 

  • Renneboog L, Horst JT and Zhang C (2008a). Socially responsible investments: Institutional aspects, performance, and investor behavior. Journal of Banking and Finance 32 (9): 1723–1742.

    Article  Google Scholar 

  • Renneboog L, Horst JT and Zhang C (2008b). The price of ethics and stakeholder governance: The performance of socially responsible mutual funds. Journal of Corporate Finance 14 (3): 302–322.

    Article  Google Scholar 

  • Schroder M (2004). The performance of socially responsible investments: Investment funds and indices. Financial Markets and Portfolio Management 18 (2): 122–142.

    Article  Google Scholar 

  • Seiford LM and Thrall RM (1990). Recent developments in DEA: The mathematical programming approach to frontier analysis. Journal of Econometrics 46 (1–2): 7–38.

    Article  Google Scholar 

  • Sharpe WF (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance 19 (3): 425–442.

    Google Scholar 

  • Siegel S. and Castellan NJ (1988). Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill: New York.

    Google Scholar 

  • Statman M (2000). Socially responsible mutual funds. Financial Analysts Journal 56 (3): 30–39.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank anonymous referees and Kristiaan Kerstens for helpful comments. This research was funded by a Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology. The results and conclusions of this paper do not necessary represent the views of the funding agency.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ito, Y., Managi, S. & Matsuda, A. Performances of socially responsible investment and environmentally friendly funds. J Oper Res Soc 64, 1583–1594 (2013). https://doi.org/10.1057/jors.2012.112

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/jors.2012.112

Keywords

Navigation