By Matthew Orsagh (@MattOrsagh), Director, Capital Markets, CFA Institute
- Investors and analysts have been investing in environmental, social, and governance (ESG) data from data providers and also developing the skills of their in-house teams to better understand ESG issues.
- Good analysts and portfolio managers exercise judgement to fill in the gaps when data are not available.
- Practitioners who fail to analyse ESG issues could miss alpha-generation opportunities, whereas investors who do analyse ESG likely will outperform their peers over the long term simply because they are engaging in a more thorough analysis.
Over the past two years, the PRI and CFA Institute have gone around the world to better understand the current state of ESG integration. These meetings have resulted in the publication of four different papers aimed at helping investors better integrate ESG data in the investment process. One key ESG topic raised in all of our discussions was the issue of ESG data—specifically, the problem of obtaining quality data that are decision useful. Many of the investors and financial analysts we spoke with said that the availability of meaningful and comparable ESG-related data is getting better but still is not at a sufficient level.
The availability of ESG-related data is growing and improving—just look at a Bloomberg terminal or whatever resource you use to collect ESG data. The amount of data available for ESG metrics has grown exponentially over the past decade, and for large multinational companies in developed markets, investors can find a lot of what they need. But gaps still exist.
If, however, you are trying to find ESG data for small or mid-cap companies or companies in emerging markets, it is likely that the data do not yet exist or will take a great deal of digging to uncover.
In recent years, investors and analysts have been investing in ESG data from data providers and also have been developing the skills of their in-house teams to better understand ESG issues. These efforts will enable them to exercise better judgement even if they lack access to every piece of data they want.
Until the availability of data catches up with the demands of financial professionals, investors and analysts will have to use more judgement than data in some of their analysis and decision making surrounding ESG issues.
Is that so bad?
Not necessarily …
It’s called analysis
After all, what we do as financial professionals is analysis. This often involves doing as much investigating and data analysis as we can so that we have a detailed, if not fully complete, picture of the companies in which we invest or are looking to invest. Although we can never have every piece of data we want, we can get enough of the story to make informed decisions. In the absence of all the data, we sometimes will have to use judgement.
Emily Chew, global head of ESG at Manulife Investment Management, sums up the question of data versus judgement well with the following observation:
”I think it can be a false dichotomy to say that data is more important than judgement. I think that investing more generally, even outside of the ESG space, is always a combination of both. Obviously in the active management space, which is where we are, it’s a combination of both.
But I don’t think that there’s ever a space where you would you say that the data is somehow more important than the judgement, as they complement and enhance each other. And I think when people get so focused on the quality of data in the ESG space, what they’re really saying is, ’I would like to feel more confident in my judgement. I would like to feel like I had all of the information that I could have obtained and that it’s high quality and reliable, so that I can make a better judgement using my qualitative interpretation of that quality data.’”
I think it can be a false dichotomy to say that data is more important than judgement. I think that investing more generally, even outside of the ESG space, is always a combination of both
Emily Chew, Manulife Investment Management
Habib Subjally, ASIP, senior portfolio manager at RBC Global Asset Management, says,
“This isn’t a ’data thing’; this is a ‘judgement thing.’ What is the right incentive scheme for management? There isn’t a right or a wrong scheme because it depends on the company, sector, and country. Judgement is needed to determine what is appropriate to the profitability of the company, the industry, the state of development of the company, and so forth. Climate and water have different impacts on and materiality to a bank, to advertising, and to a chemical plant. We need to improve the data, but we also need to make judgements about how to best use the data and about what is relevant and material for the generation of a company’s underlying business.”
We need to improve the data, but we also need to make judgements about how to best use the data and about what is relevant and material for the generation of a company’s underlying business
Habib Subjally, RBC Global Asset Management
Is data really a barrier?
Well, yes and no.
Yes, it can be in the short term, but less so in the long term. Yes, it can be for small and mid-cap companies, but less so for larger companies. Yes, it can be for those who want data to drive decision making, but less so for those who are comfortable using judgement in their investment decision making.
The challenges around data and the use of judgement are further explained by Jacob Messina, CFA, head of SI Research at RobecoSAM: “Quality and availability of ESG data have greatly improved over the past five years, but there are still many deficiencies, so you need judgement to decide if you’re using data in the right way. If you manage a quantitative strategy, you have to understand the data, and you may have to accept some of these flaws. If you have a fundamental strategy, then obviously a lot of judgement comes into it.”
Quality and availability of ESG data have greatly improved over the past five years, but there are still many deficiencies, so you need judgement to decide if you’re using data in the right way
Jacob Messina, CFA, RobecoSAM
Small and mid-cap companies
As ESG disclosure standards such as SASB (Sustainability Accounting Standards Board) and TFCD (Task Force on Climate-Related Financial Disclosures) gain traction with investors and issuers, the data supporting ESG data will only improve. Small and mid-cap companies and companies in emerging markets will feel more comfortable gathering and disclosing ESG information, will be able to focus on the handful of ESG metrics germane to their business, and will not have to worry about hundreds of other ESG datapoints.
Currently, with so many ESG key performance indicators (KPIs) demanded by investors, practitioners are concerned about which ones to choose—a problem that standardisation of data reporting would help. ESG integration requires understanding the ESG issues and selecting those that are material. Including every KPI in an analysis would result in a tiny weighting of each, with the most relevant KPIs being diluted.
Large companies have an advantage over small companies in reporting ESG data. Investors need comparable data and a significant data history, which are not available with small-cap firms. Because large companies have more resources in terms of personnel and budget, they also can spend more on ESG marketing, allocate more time to engaging with investors, and devote more resources to tracking ESG data.
Judgement versus data
ESG integration is just good analysis. Such analysis captures more of the risks and opportunities—including unknown risks and opportunities—that ESG integration techniques typically identify. Practitioners who fail to analyse ESG issues could miss alpha-generation opportunities, whereas investors who do analyse ESG are likely to outperform their peers over the long term simply because they are engaging in a more thorough analysis.
Pristine, complete, and comparable ESG data are not always available. This is where judgement becomes essential. Being an analyst or portfolio manager means you have to understand the whole story of the companies in which you invest. As Sebastien Thevoux-Chabuel, portfolio manager at Comgest, points out, “if you want to have an edge, you need to go from data to judgement to insight. Insight creates a holistic view of what truly matters for a specific company.”
If you want to have an edge, you need to go from data to judgement to insight. Insight creates a holistic view of what truly matters for a specific company
Sebastien Thevoux-Chabeul, Comgest
When complete data are not available or standardised, which is often the case with ESG analysis, analysts and portfolio managers really earn their money. Knowing the industries in which they invest and the companies they analyse enables good analysts and portfolio managers to exercise judgement to fill in the gaps when data are not available. Rob Wilson, research analyst at MFS Investment Management, explains that “even if you have good, comparable, consistent data that is nicely arranged in a perfect time series, as an investor you still need to understand the context of the industry in which the company operates, how that industry might look different in five years’ time, and what unique aspects of that company might impact your interpretation of that data.”
Nevertheless, judgement and data go hand in hand, as Patrick O’Hara, senior responsible investment analyst at USS Investment Management, points out: “You can’t apply judgement without reliable data, if the data is unreliable then this can compromise your judgement. Equally raw data provides very little insight unless it is contextualised and judgement is applied to it.”
Good analysts track down data when they aren’t handed data in company filings. Analysts can do channel checking, kick the tires of a company’s supply chain, or do a deep dive into regulatory data (such as health and safety data in each market) that may not be included a company’s filings.
In our workshops held around the world over the past two years, we encountered more than just a few investors who admitted that ESG data needed to be improved, but they were in no hurry to see ESG data standards develop. These investors were confident that their judgement around ESG issues was a competitive advantage, and that if that data were standardised, their advantage might be taken away.
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