Similar results from our risk-premium model are noted in the case of the Treynor ratio
measure as well. ESG stocks exhibit superior Treynor ratios over their reference counter-
parts in 9 out of 12 industries. The difference, on average, of Treynor ratios for ESG com-
panies and reference Companies are 11.81% (Figure 3). The three exception industries are
two of the same from the Sharpe ratio Analysis – automobile and banking. Additionally,
the durables industry is an exception to our results.
Even in the case of the both Sharpe and Treynor ratio exceptions (Automobiles, Dur-
ables and Banking), our analysis exhibits that ESG stocks are still less volatile by 20.12%,
24.54% and 37.83%, on average. Therefore, ESG stocks tend to be less risky and more effi-
cient vehicles for investments.
5. Conclusions and further research
Our model shows evidence that stock performance is closely linked with ESG factors. ESG
factors bring lower volatility and therefore lower risk, and consequently higher risk-
adjusted returns.
With the recent volatility in global stock markets, low-volatility investments are
increasingly relevant. Although traditional analysis assumes that lower volatility translates
into lower returns, integrating ESG factors into the investment decision can provide
superior risk-adjusted returns and is specifically relevant for improving efficiency of
low-risk investment strategies such as those followed by pension funds.
The study of ESG factors and their relevance to performance of investments is a rela-
tively recent phenomenon and requires further research. Most studies that exist focus
upon how to define and evaluate ESG factors and their impact on stock returns and
tend to overlook the impact of ESG factors on the volatility of stocks. Also, they are cen-
tered on complex investment vehicles such as private equity funds or mutual funds. The
two studies highlighted earlier, which also integrate a risk analysis, similarly indicate a
positive correlation between ESG and lower volatility. But our methodology is fairly differ-
ent. In a positive way, the Morgan Stanley study addresses long time horizons but it
assesses only mutual funds and Separately Managed Accounts and solely in the United
States, whereas we assessed directly publicly listed equity stocks. And it seemed more
apposite in our view to use the DJSI as an ESG benchmark rather than MSCI 400 KLD
Social Index given its worldwide coverage. In addition, neither Morgan Stanley (2015)
nor Eccles, Ioannou, and Serafeim (2012) dissected the particularities of different indus-
tries. As we have shown, industries react different to ESG integration and it is not necess-
arily wise to treat them by the same token.
Our study research attempts to evidence that efficient investment strategies can be
developed around listed equity stocks that perform well in terms of ESG factors. By ana-
lyzing stocks industry-wise this research can be of use to retail as well institutional inves-
tors. Our further work will expand the current model to include even longer time horizons,
control for the size and geography of companies, and account for other ESG performance
benchmarks beyond the DJSI. It would also be important to delve deeper into the robust-
ness of the model by performing quartile and percentile analyses on the existing dataset, to
ensure the results are applicable across the selected population. Even so, with the basic
relationship between ESG factors and risk-adjusted returns established, we are one step
JOURNAL OF SUSTAINABLE FINANCE & INVESTMENT 7