Chap 7 Flashcards
ESG ANALYSIS, VALUATION AND INTEGRATION
There are many approaches to ESG analysis and a multitude of ESG integration tools and techniques.
These methods span from company analysis, asset valuation, portfolio decision making and into stewardship.
ESG analysis methods use various data sources ranging from commercially available databases to primary analytical research.
This chapter gives an overview of common and major techniques, a summary of major ESG research providers and case studies of ESG integration in practice across a range of investment strategies.
WHY INVESTORS INTEGRATE ESG
A firm may have several different aims and objectives for integrating ESG into an investment process. These may include:
A. meeting requirements under fiduciary duty or regulations;
B. ***meeting client and beneficiary demands;
C. ***lowering investment risk;
D. ***increasing investment returns;
E. giving investment professionals more tools and
techniques to use in analysis;
F. ***improving the quality of engagement and stewardship activities; and
G. *** lowering reputational risk at a firm level and investment level.
We will look at each of these objectives in the following sections.
A. and B. Meeting requirements under fiduciary duty or
regulations; or meeting client and beneficiary demands
A significant number of investment professionals still do not integrate ESG.
According to a 2017 CFA Institute global ESG survey, 24% of equity investors, 55% of fixed income investors and between 79% and 92% of alternative asset investors (across private equity, real estate, infrastructure and hedge funds) do not integrate ESG into their processes.
→ The global ESG survey is covered in Chap 8.
However, these investors, or their asset owner clients, may fall under certain country regulations, such as the EU Shareholder Rights Directive or the UK’s Department of Work and Pensions’ (DWP) regulations.
In these cases, the regulations or clients may demand a certain level of ESG integration even though the investor may not believe ESG integration enhances return or lowers risk. The aim is to meet minimum regulatory obligations or client demands.
C. and D. Lowering investment risk and increasing investment returns
Many investors seek to integrate ESG into investment processes to better understand and lower investment risk. Some also seek to enhance returns via ESG by seeking higher alpha. Recent surveys suggest that more firms do so to lower the risk rather than enhance returns, but some firms do both.
E. and F. More tools and techniques to use in analysis and in improving the quality of engagement and stewardship activities
Judging by ESG surveys undertaken by both academics and investment practitioners, not all firms believe ESG integration leads to better risk-adjusted returns. However, many ESG integration tools, such as scorecards (see Section 2), can be used to engage with company management teams and aid stewardship activities. These same tools can also enhance the clarity of a company’s business model.
G. Reputational risk at a firm level
G. Reputational risk at a firm level
THE DIFFERENT APPROACHES TO INTEGRATING ESG
Describe different approaches to integrating ESG analysis into a firm’s investment process.
Describe quantitative approaches to ESG analysis across a range of asset classes: alternative investments; equities; fixed income.
Describe qualitative approaches to ESG analysis across a range of asset classes: alternative investments; equities; fixed income.
Q or Q
It is important to note that ESG analysis can be either qualitative or quantitative.
Similarly, the way it is integrated can also be purely qualitative (e.g. opinion on quality of management added to the investment thesis) or quantified (e.g. impact on financial models/valuation).
There are some techniques that could be considered a hybrid of both techniques, for example, scorecards, where a qualitative judgment is turned into a quantitative score.
These tools and techniques cover different types of strategy
(passive, systematic, fundamental, active or activist) and different asset class.
Qualitative ESG analysis
A. Investment teams analyse ESG data to form their opinion on the ability of the firm to manage certain ESG issues.
B. They combine this opinion with their financial analysis by linking specific aspects of the company’s ESG risk management strategy to different value drivers (such as costs, revenues, profits and capital expenditure requirements).
C. Analysts and portfolio managers then seek to integrate their opinion in a quantified way in their financial models by adjusting assumptions used in the model, such as growth, margins or costs of capital.
Certain qualitative techniques may be more suitable (or weighted differently) for different asset classes.
For instance, a judgment on management incentives (a part of G analysis) may have more weight in public equity and private equity,
less weight for fixed income investors and be deemed irrelevant for sovereign bond investors.
Quantitative ESG analysis
Quantitative ESG analysis is likely to be used in investment processes that use quant models to identify attractive investment opportunities. In such cases, the ESG data is typically aggregated into an ESG factor (an ESG score), which is added to the quant models.
This could be a screen that creates the investment universe, or a quant model used to adjust valuations based on several factors (including ESG).
Highlights between the quantitative approaches and qualitative approaches and terminology confusion
Combining this information can be confusing due to the different meanings investors give to the term ‘quantitative’.
As a description of an analytical technique, it tends to be used when a numeric score is assigned. But, it can also be used to describe a whole class of investment strategy that tends to use stock, bond, derivative or other security factor properties as the main basis for investment.
In terms of investment strategies, quantitative (sometimes contracted to ‘quant’) investing can be known as ‘systematic investing’. It can include strategies such as high-frequency trading, use of algorithms based on news or factors and statistical arbitrage, and can also include trend-following, risk parity or beta strategies. The approach tends to use heavy mathematical modelling, computing power and data analysis potentially including machine and natural language learning processes. Some firms solely use these approaches and some use them to supplement human decision-making.
Typically, computer and mathematical models are built and then backtested. Where these models use ESG data or information (for instance through raw data or ratings agencies), this is considered a form of ESG integration. This produces many challenges, as the length of time series for ESG data (usually between 7–15 years depending on the series) is much shorter than for financial data.
***This typically might be viewed as a quantitative investment form of integrating ESG.
Qualitative forms of analysis typically use human judgment of non-numerical forms of analysis.
** However, advances in techniques are blurring these traditional boundaries. For instance, machine learning’s use of natural language processing and scanning of management commentary from meeting transcripts are using those qualitative words in a quantitative fashion.
Classification on active versus passive
Another way of classifying strategies is by considering how ‘active’ or ‘passive’ a strategy is, or how human ‘discretionary’ or computer algorithm based the strategy is.
Investors debate this, with some investors considering certain quantitative investment strategies as more passive due to the limited human discretion (but noting that humans programme the algorithms);
however, other investors argue that the choices in quantitative investment strategies are still active choices.
An investment class that is often viewed as sitting between fundamental active and passive index tracking strategies is often called beta (or **smart beta) or factor strategies.
Here certain factors (such as momentum, which is a security characteristic not a business/company characteristic) are chosen as investment criteria.
It is worth noting whether certain ESG factors are valuable quantitative investment factors as well.
***Fundamental active strategies where human judgment is used will tend to use ESG techniques that have both qualitative and quantitative elements to them but are typically not considered quantitative investment.
And similarly, with quantitative investment strategies that use ESG ratings data, that ESG ratings data may be based on qualitative human judgment.
Overall, ESG techniques can be considered quantitative or qualitative or will have elements of both.
Investment strategies are typically classified as quantitative (systemic, algorithmic), fundamental, active, passive or beta.
Investors interchange the term ‘quantitative’, but provide different meanings when applied to overall investment strategies and processes as opposed to specific ESG integration techniques.
Elements of ESG analysis
The elements of ESG analysis include:
▶ red flag indicators. Securities with high ESG risk are flagged and investigated further or excluded.
For instance, a company which has a board that lacks majority independence may be flagged for deep scrutiny on management incentives or simply be excluded from an investable universe.
▶ company questionnaires and management interviews.
For example, if there is insufficient detail on management aspects, or other material ESG information, the investor may ask the company for specific data.
Or the investor may have a prepared list of standard ESG data they ask for. These questionnaires are also used in parallel with regular company meetings, where investors and companies will meet to discuss the most material ESG issues.
▶ checks with outside experts.
For instance, an investor may interview key industry thought leaders or other stakeholders of the company including customers, suppliers or regulators. These may be complemented by interviews, surveys or third-party sourcing, such as the use of expert networks.
▶ watch lists.
These may include securities with high ESG risk added to a watch list for monitoring, or securities with high ESG opportunities which are put on a watch list for possible investment. For instance, once ESG risks/ opportunities are assessed by an investor, a news or stock price watchlist is created and monitored for stock price entry levels or for change in ESG events.
For example, a highly carbon-intense company identified with high E risk might be monitored against changing policies on carbon taxes.
▶ internal ESG research.
This may be based on a variety of techniques and data sources.
**Proprietary ESG research and analysis is performed and the output can be provided in scores, rankings or reports.
The research may be based on a variety of data sources, and proprietary ESG research or scores could be created.
Furthermore, research could consist of: **** » materiality frameworks; » ESG-integrated research notes; » research dashboards; » strengths, weaknesses, opportunities and threats (SWOT) analysis with ESG factors; » scenario analysis; and » relative rankings. *****
▶ external ESG research, where:
» sell-side, ESG specialists or third-party databases may all be used; and
» a materiality framework is created.
▶ ESG agenda items at investment committee or Chief Information Officer (CIO)-level meetings.
One technique to ensure consistent integration is to ensure an ESG section as a standing item at committee meetings. This may ensure scrutiny from senior level investors and signal importance to the investment firm.
Elements of ESG integration
The elements of ESG integration include:
▶ adjusting forecast financials, for example revenue, operating cost, asset book value or capital expenditure;
▶ adjusting valuation models or multiples, for instance discount rates, terminal values or ratios;
▶ adjusting credit risk and duration;
▶ managing risk, including exposure limits, scenario analysis, value-at-risk models;
▶ ESG factor tilts;
▶ ESG momentum tilts;
▶ strategic asset allocation, including thematic and ESG objective tilts;
▶ tactical asset allocation; and
▶ ESG controversies and positive ESG events.
Differences between company or business analysis and security analysis
There are two distinctions that many investment practitioners make in fundamental investment analysis:
▶ the difference between a company or business assessment; and
▶ a security, stock, bond or convertible (or other tradeable construct including derivatives) assessment.
While the differences are often interchanged in ordinary language, many investors give them different meanings. Stocks and bonds can have properties that companies do not, such as stock beta or volatility, which are potentially expressed in different ways.
A company or business assessment typically examines fundamental properties of a business, such as its competitive advantages (or lack of), sometimes described as a business moat (after the popular Warren Buffett Annual Letters).
These properties could appear in the company’s products or services,
suppliers, employees,
management, organisational structure,
incentives, corporate cultures or its resources (natural, intellectual or innovation).
Many of these properties could be considered as under an ESG category.
For instance:
▶ natural capital as E;
▶ corporate culture or supplier analysis under S; and
▶ management structure or incentives under G.
A business may have strong aspects of ESG, which lead to an assessment of a strong or competitive advantage, which can lead to a judgment on that business or company.
The analysis of judgment on the properties of a stock or bond of a company may differ.
For instance, beta or stock volatility are properties of a stock, not of a company or business per se. This could also include a property of the company itself, although a company with very constant yearly sales may have a stock that has a low beta (of less than one).
This is important due to the debate amongst investors who use security factors to invest.
The debate here is whether they are ESG components that are robust quantitative ESG stock or bond factors.
This is an important debate because of how an assessment of the strength or weakness of a company or business can then lead to a valuation of its securities.
TYPICAL STAGES OF INTEGRATED ESG ASSESSMENT
These can run alongside a financial analysis or have integrated aspects to the analysis. The stages typically are:
A. a research stage;
B. a valuation stage; and
C. a portfolio construction stage, which leads to investment decisions.
Each of these stages is considered in further detail in the following sub-sections.
Research and idea generation stage
Gathering information
Materiality assessments
The research stage typically contains a materiality assessment to identify the ESG issues that are likely to have an impact on the company’s financial performance.
Materiality is typically measured both in terms of the likelihood and magnitude of impact.
The materiality assessment is considered important as there is evidence that non-material factors do not impact financials, valuations or company business models.
It is **distinguished from some exclusionary socially responsible investing (SRI) strategies, which may also consider non-material factors, e.g. exclusion of pork-based product companies for certain religious stakeholders, which a typical investor would not deem a material ESG factor.
Investors who primarily see ESG analysis and ESG integration as a way to enhance investment processes
are likely to focus on ESG issues they consider *** financially material, i.e. a factor that will have a financial impact in the future, either positive or negative.
By contrast, investors that are primarily interested in the impacts that companies’ practices and products have on the
**environment and society are likely to focus on related ‘high impact’ ESG issues, even if these issues are not considered as the most material from a financial performance viewpoint.
This distinguishes an ‘ethical/impact investor’, who may judge factors affecting social or environmental returns, but minimal financial returns, from a responsible investor.
Tangible versus intangible factors; different forms of capital
A tangible asset (or hard asset) are physical assets, whereas intangible assets are non-physical ones that are difficult or impossible to touch physically.
TANGIBLE ASSETS
- Land.
- Manufacturing plants. • Inventories.
- Furniture.
- Machinery.
INTANGIBLE ASSETS
• Goodwill. • Patents. • Copyrights. • Intellectual property and know-how. • Software and innovation assets. • Corporate culture. • Incentives. • Employee productivity. • Other forms of social and relationship assets.
APPLICABLE TO BOTH TANGIBLE AND INTANGIBLE ASSETS
- ESG analysis techniques.
- Materiality.
Evaluating different forms of tangible or intangible factors
One framework for evaluating different forms of ‘capital’ or tangible or intangible factors was developed by the International Integrated Reporting Council (IIRC).
The IIRC framework (to which certain companies report) describes capitals (both intangible and tangible) as follows:
▶ Financial capital – The pool of funds that is:
» available to an organisation for ***use in the production of goods or the provision of services; and
» obtained through financing, such as debt, equity or grants, or generated through operations or investments.
▶ Manufactured capital – Manufactured physical objects (distinct from natural physical objects) that are available to an organisation for use in the production of goods or the provision of services,
including:
» buildings;
» equipment; and
» infrastructure (such as roads, ports, bridges, and waste and water treatment plants).
Manufactured capital is often created by other organisations, but includes assets manufactured by the reporting organisation for sale purposes or when they are retained for their own use.
▶ Intellectual capital – Organisational, knowledge-based intangibles, including:
» intellectual property, such as patents, copyrights, software, rights and licences; and
» ‘organisational capital’, such as tacit knowledge, systems, procedures and protocols.
▶ Human capital – People’s competencies, capabilities and experiences, and their motivations to innovate, including their:
» alignment with and support for an organisation’s governance framework, risk management approach, and ethical values;
» ability to understand, develop and implement an organisation’s strategy; and
» loyalties and motivations for improving processes, goods and services, including their ability to lead,
manage and collaborate.
▶ Social and relationship capital – The institutions and relationships between communities, groups of stakeholders and other networks, and the ability to share information to enhance individual and collective well-being.
These include:
» shared norms, and common values and behaviours;
» key stakeholder relationships, and the trust and willingness to engage in an organisation that has
developed and strives to build and protect with external stakeholders;
» intangibles associated with the brand and reputation that an organisation has developed; and
» an organisation’s social licence to operate.
▶ Natural capital – All renewable and non-renewable environmental resources and processes that provide goods or services that support the past, present or future prosperity of an organisation.
This includes:
» air, water, land, minerals and forests; and
» biodiversity and eco-system health.
It is clear to see how not all capitals (intangible or tangible) would be material or relevant to all companies, however this might require a materiality judgment (see later section on ‘Materiality assessments and risk mapping’)
Many of the non-financial capitals would be considered under ESG, with a large number also intangible.
A qualitative identification and judgment would be considered a form of qualitative approach to ESG.
Generating ideas
Investment ideas can be generated from the data. Some practitioners start this stage using a valuation screen, or fundamental screen, which may incorporate ESG factors
– this may be a mix of positive (e.g. seek high G), negative (avoid low G) or momentum (seek rising G or avoid declining G) to create an attractive investment universe.
This is commonly referred to as ‘positive’ or ‘best-in-class’ screening.
Investment ideas can also be generated by themes associated with specific ESG megatrends.
For instance, an ESG opportunity theme might be to seek improving access to **clean water or to **energy services.
This is commonly referred to as ‘thematic’ investing.
At this stage, checklists – internal or externally-sourced – may ‘red flag’ companies and use that to narrow
the investable universe,
for instance, an acceptable low governance score or an unacceptable number of ESG controversies (real world ESG events that are contested by different stakeholders or impact society, e.g. a dam failing).
Red flag techniques can also be used in later stages.
These risks may be ESG risks judged on an absolute hurdle basis or judged against what may be ’priced into the asset’.
A materially negative assessment of a particular ESG factor or collection of factors may lead to a decision that an investment fails to meet a specified hurdle.
For example, an incentive structure deemed to be poorly aligned under a G assessment may disqualify a possible investment, the assessment triggers a ‘sell’ or ‘do not invest’ signal.
This assessment can be:
quantitative, e.g. the carbon intensity of company A is too far above an index benchmark to meet a practitioner’s investment criteria; or
qualitative, e.g. the experience of the management team in managing environmental risk and the lack of disclosed policies may indicate risks too great for an investor on a qualitative basis.
Scorecards can be used to assess ESG risk and opportunity
Describe how scorecards may be developed and constructed to assess ESG factors.
As an example, a credit analyst identifies a company that has no third-party ESG rating available, but where the company is issuing investment grade bonds that might be investable.
In this case, the analyst creates their own ESG assessment. A custom ESG self-assessment tool that reflects the sector-specific risk issues relevant to the issuer is created, and the company management or investor relations team is asked to fill this out.
An ESG scorecard based on the self-assessment response is created with ESG factor scores out of 5, and high or low scores are then used in valuation or further assessment work.
Ethical marketing may, for example, be identified as a key ESG social risk (perhaps via a risk mapping process, which is covered in the next section) for pharmaceutical companies X, Y and Z:
▶ Company X has no policy and a history of violations, so they score 0.
▶ Company Y has a brief policy and no violations, so they score 3.
▶ Company Z has a detailed policy and one minor violation, so they score 4.
It may be that scores of 0 make a company unattractive and scores of 5 lead to further investment work.
Alternatively, total scores of all factors in the scorecard are used in further assessment or valuation work.
The scorecard can take a qualitative judgment of a factor and put a form of quantitative score on it.
ESG ratings agencies may provide scores and a form of scoring is typically used in commercially available ESG ratings services.
These can be used raw or adjusted by practitioners to reflect their own views. These scores can then be compiled for use in assessment or idea generation.
→ See Section 5 for more on ESG ratings agencies.
In summary, to develop a scorecard:
- Identify sector or company specific ESG items.
- Breakdown issues into a number of indicators (e.g. policy, measures, disclosure).
- Determine a scoring system based on what good/best practice looks like for each indicator/issue.
- Assess a company and give it a score.
5. Calculate aggregated scores at issue level, dimension level (environmental, social or governance level) or total score level (depending on the relative weight of each issue).
- Benchmark the company’s performance against industry averages or peer group (optional).
Materiality assessments and risk mapping
Some ESG issues might be material for companies in a specific industry (e.g. water stress can disrupt the operations of mining or beverages companies, which rely heavily on clean water in their production processes), but not for other sectors (e.g. water stress has little impact on media or financial companies).
Determining which ESG issues are most material is not an exact science, and there might be important differences between what each investor considers most material, even when analysing the same company. This is because it is typically a forecast of judgment on how much one ESG or risk factor will impact a financial metric such as future cashflow.
Frameworks such as the materiality maps provided by the Sustainability Accounting Standards Board (SASB) are helpful in providing some guidance but investment professionals often develop their own view on what is most material.
For instance, in the healthcare example (Figure 7.5) using the SASB materiality map, a pharmaceutical company is judged to have a material exposure to fair marketing practices.
▶ Pharmaceutical company A is judged to have a low risk to this factor because it has up-to-date policies, training programmes and has never had a regulatory warning letter.
▶ Pharmaceutical company B is judged to have a high risk to this factor because it lacks a strong policy, training is minimal and the company has received several fines and warnings from regulators.
▶ Pharmaceutical company C is judged to have no risk to this factor, as it only engages in pharmaceutical research and does not have any commercially marketed products.
Here we can see that even though the factor is material to the sector, it is of limited risk or arguably no risk to the company as the company is not exposed.
As seen earlier, the same technique can be applied to whole sectors or sub-sectors, as well as companies. For instance, biodiversity as an E factor is not seen to impact the whole pharmaceutical sector, but may have an impact on the agriculture sector.
Using SASB as a baseline framework in a materiality assessment.
One example of where you might want to use SASB as a baseline framework in a fundamental active investment process might be for a bio-pharmaceutical company that has a cannabis plant as its raw active ingredient.
(This applies to the company GW Pharmaceuticals.)
As is shown in Figure 7.5, ‘materials sourcing’ is not considered a material ESG risk for biotechnology and pharmaceutical companies.
However, an analyst might judge that a cannabis-derived medication would be a material risk on two accounts:
- Growing the plants is potentially a complex operation with enhanced risks compared to standard manufacturing.
- The regulatory oversight is more complex as the drug regulator as well as the pharmaceutical regulator (in the USA, the Drug Enforcement Agency (DEA) and the Food and Drug Administration (FDA)) would both be involved. Whereas for a standard pharmaceutical, it would only be the pharmaceutical regulator that would be involved.
The analyst might further judge that there is an ESG opportunity here as well because of:
▶ the technology needed to harvest the plants;
▶ the knowledge protection around that technology; and
▶ the barriers involved in having to satisfy two regulators.
This might lead to longer intellectual property protection (and longer cashflows) as well as higher barriers to entry (and lower likelihood of competition).
In this example, the social impacts might be more complex to judge as well, whereas all the other aspects of the companies’ analysis may correspond to where SASB has judged most risk to be (e.g. energy, water and waste.
As of 2019/20, there is a trend in company reporting to include more material ESG factors.
However, there is no agreement from various stakeholders on materiality and how to report, so developing proprietary materiality assessments may continue to be an important technique for investors to potentially develop their own analytical framework alongside standardised frameworks, such as SASB or the Global Reporting Initiative (GRI).
As SASB becomes more established as a leading materiality framework, it may be worth further investigation as there are increasing calls from stakeholders for such standardisation.
ESG risk mapping methodologies
ESG risk mapping may also be done at the research stage.
Here, an individual company (equity or credit) or sector has its risk mapped to a specific theme or factor, usually one that has been judged ‘material’.
Risk mapping could also mean mapping a portfolio or investable universe against a specific ESG risk (e.g. climate risk or water-related risks) to identify which sectors or companies contribute the most to this particular risk profile (e.g. carbon- or water-intensive companies).
Examples of risk mapping methodologies include carbon footprinting or testing portfolios against different climate scenarios.
Mapping can also be done for material opportunities (e.g. opportunity from recycling or the transition to renewable energy) as well as risks. It can be scored, for instance, on a ***10-point scale, or given a qualitative label, such as low or high risk.
This shows how the scorecard technique (described earlier) can be combined with a mapping technique.
Quantitative, systematic and thematic approaches to integrated ESG analysis
Quantitative practitioners may assess ESG factors at the research stage typically using a third-party database, or a mix of third-party data or internal proprietary data.
This is typically done with large data sets of stocks or credits, rather than individual company assessment, although some firms will create their own proprietary scores from individual company assessment.
*** The data gathering can be similar to fundamental investors but tends to be over larger datasets.
For instance, a global dataset may contain 2,000 to 4,000 companies with 100 data points per company.
Quantitative factor investors typically integrate ESG factors alongside other factors, such as value, size, momentum, growth and volatility.
Some of these factors may be from third party models.
ESG data are included in their investment processes and could result in upward or downward adjustments to the weights of securities, including to zero.
For instance, a strong score on an environmental factor might be sought.
The aim could be to increase ESG factor returns or lower risk, or do both to increase risk-adjusted returns.