For our analysis, we used the monthly US dollar returns of FTSE World Developed Index constituents before January 2001 and of MSCI World Index constituents thereafter. The full sample period of our investigation spanned from January 1986 to November 2021. For each month, we constructed market-cap weighted sub-industry portfolios based on the GICS1 classification of stocks.
The sub-industry classification is the most granular within the GICS methodology and resulted in 158 different portfolios as at the end of our sample period. However, certain sub-industries have not always existed, while others have ceased. And in some cases, there were no developed large- or mid-cap stocks that belonged to a sub-industry. Therefore, we used the market index return for the months in which there were no returns at the sub-industry level.
For all sub-industries, we assigned SDG scores based on Robeco’s proprietary SDG framework. The framework provides a clear, objective, consistent and replicable approach to measuring the contributions that companies make to the 17 SDGs. Our method resulted in a baseline sub-industry assessment of the goods produced and/or services provided by a company and how these impacted the SDGs.
Sub-industries that make a positive impact receive SDG scores of +1 to +3 (low positive to high positive), depending on the strength and quality of their contributions. For example, positive contributions can be related to healthcare, medicine and water. Similarly, sub-industries that have a negative impact attain SDG scores of -1 to -3 (low negative to high negative), depending on the severity of their adverse impact. For instance, negative contributions can be linked to gambling, fast food and shale gas. In our analysis, we assumed the SDG scores are fixed over the full sample period.
For our investigation, we avoided any exposure to sub-industries with negative SDG scores when we constructed the SDG-aware portfolios. Similarly, we first ranked all sub-industries on their carbon footprints as at the end of our sample period. Thereafter, we excluded the most pollutive ones when we constructed the low-carbon portfolios. We assumed that present-day high-carbon sub-industries were also high-carbon sub-industries historically.
We then simulated the full sample return and volatility: for each market-cap-weighted sub-industry portfolio, the market index (market-cap-weighted combination of sub-industries), low-carbon index (market index excluding high carbon footprint sub-industries), and SDG index (market index excluding sub-industries with negative SDG scores).
Moreover, we constructed three different efficient frontiers, as depicted in Figure 1. The unrestricted frontier is based on the full universe, the low-carbon frontier is based on a more limited pool as it has zero exposure to high carbon footprint sub-industries, and the SDG frontier is based on a more restricted group as it excludes sub-industries with negative SDGs. These were constructed using historical sub-industry returns, and as such, are based on hindsight knowledge. It is also important to note that, by definition, the restricted frontiers (Low carbon and SDG) cannot lie north or west of the unrestricted frontier.