Chapter 7 - ESG Analysis Valuation and Integration Flashcards

1
Q

Why Investors Integrate ESG

(7 Points)

A
  • meeting requirements under fiduciary duty or regulations
  • meeting client and beneficiary demands
  • lowering investment risk
  • increasing investment returns
  • giving investment professionals more tools and techniques to use in analysis
  • improving the quality of engagement and stewardship activities
  • lowering reputational risk at a firm level and investment level
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2
Q

Meeting Requirements under Fiduciary Duty or Regulations

(5 Points)

A

Certain country Regulations could demand a certain level of ESG integration:
* EU Shareholder Rights Directive
* UK Stewardship Code

Fiduciary Duty of investors require them to do following:
* incorporate ESG issues into investment analysis and decision making, consistent with their investment time horizon
* encourage high standards of ESG performance in the companies or other entities in which they invest
* understand and incorporate beneficiaries’ and savers’ sustainability-related preferences, regardless whether they are financially material

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3
Q

Highest Reasons to consider ESG Information

(6 Reasons with Percentage)

A
  • 63.1% ESG information is material to investment performance
  • 33.1% growing client/stakeholder demand
  • 32.6% believe such policy to be effective in bringing change at firms
  • 32.6% it’s part of the investment product strategy
  • 32.6% see it as an ehtical responsibility
  • 31.7% anticipate it to become material in the future
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4
Q

Highest Reasons to reject ESG Information

(2 Reasons with Percentage)

A
  • 26.7% no stakeholder demand for such policy
  • 21.3% lack access to reliable nonfinancial (ESG) data
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5
Q

Business Roundtable’s “Statement on the Purpose of a Corporation”

(6 Points)

A

August 2019 and signed by 181 CEOs (including major investment banks and asset managers) who commit to:
* delivering value to customers: meeting or exceeding customer expectations
* investing in employees: compensating them fairly and providing important benefits; supporting them through training and education that help to develope new skills; foster diversity and inclusion, dignity and respect
* dealing fairly and ethically with suppliers: serving as good partners to other companies, large and small, that help us meet our missions
* supporting communities near operation: respect people in communities and protect environment by embracing sustainable practices across business
* generating long-term value for shareholders, who provide capital that allows companies to invest, grow and innovate; commited to transparency and efective engagement with shareholders

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6
Q

ESG Analysis Techniques

(3 Techniques)

A
  • Qualitative ESG Analysis (e.g. opinion on quality of management)
  • Quantitative ESG Analysis (e.g. impact of financial models or valuation)
  • Hybrid of both Techniques (e.g. scorecards)
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7
Q

Qualitative ESG Analysis

(6 Points)

A
  • human judgement of non-numerical ESG data for analysis
  • company-specific research, fundamental analysis and stock picking
  • analyze ESG data to form opinion on firm’s ability to manage cartain ESG issues
  • link specific aspects of company’s ESG risk management strategy to value drivers (e.g. costs, revenues, profits, capital expenditure)
  • analysts/portfolio managers integrate opinion in quantified way into financial models by adjusting assumptions in the model (e.g. growth, margins, cost of capital)
  • qualitative techniques might be weigthed differently for different asset classes, e.g. judgement of management incentives have more weight in equity than for fixed income
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8
Q

Quantitative ESG Analysis

(4 Points)

A
  • quantify ESG data by converting into an ESG factor (ESG score)
  • used in investment processes that use quant models to identify investment opportunities
  • source data may be based on mix of third-party database or internal proprietary data
  • use heavy mathematical modeling, computing power and data analysis, potentially using AI or NLP
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9
Q

Systematic Approaches to Integrate ESG Analysis

(2 Steps)

A
  1. use correlations to understand how ESG factors might affect financial performance over time
  2. …then weight those ESG factors appropriately
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10
Q

Application Programming Interfaces (APIs)

(3 Points)

A
  • investors use APIs to compile and assess data
  • used to easily access and interface underlying databases and other datasets
  • APIs needed because number of total unique ESG data points in on the rise
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11
Q

Artificial Intelligence and Algorithms

(4 Points)

A

Available ESG data from companies is unstructured, AI attemot to bring structure and numerical value to unstructured datasets.

Implementation by Practicioners:
* use AI to measure ESG performance tied to measures of SASB
* provide immediate access to scores based on material ESG events as they happen
* focus on intangible ESG factors that could drive company value, e.g. corporate culture

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12
Q

Natural Language Processing (NLP) in ESG Analysis

(3 Points)

A
  • process and analyze large amounts of natural language data related to ESG
  • understand the ESG contents of documents, including nuances of the language within them
  • accurately extract information and insights to categorize and organize them
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13
Q

Quantitative/Systematic Investment Strategies

(5 Strategies)

A
  • high-frequency trading
  • use algorithms based on news or factors and statistical arbitrage
  • trend following
  • risk parity
  • use of beta strategies
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14
Q

Investment Strategies Classification

(5 Points)

A
  • quantitative (systematic, algorithmic): relies on mathematical models, statistical analysis and computer algorithms to make investment decisions based on patterns and trends in financial markets
  • fundamental: investment strategy that evaluates various qualitative and quantitative factors to determine whether an asset is overvalued, undervalued or fairly priced
  • active: investment strategy with target to outperform the market index by making active investment decisions
  • passive: investment strategy that aims to replicate the performance of a specific market index rather than trying to outperform it
  • beta: investment approach that aims to replicate a specific market index (e.g. S&P 500) with the target to outperform it by either taking more risk or reducing risk
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15
Q

Tools and Elements of ESG Analysis

(7 Tools)

A
  • Red Flag Indicators: securities with high ESG risk are flagged and investigated further or excluded, e.g. company board with lack of majority independence lead to scrutiny on management incentives or exclusion
  • Company Questionnaires and Management Interviews: if detail of material ESG information is insufficient, investor migh ask for specific data; prepare a list of standard ESG data to ask for
  • Checks with Outside Experts: interview key industry through leaders or other stakeholders of the company (e.g. customers, suppliers, regulators)
  • Watch Lists: securities with high ESG risk added to watchlist for monitoring, high ESG opportunities added to watchlist for possbile investment
  • Internal ESG Research: research based on variety of techniques and data sources and output provided in scores, ranking or reports
  • External ESG Research: research uses sell-side, ESG specialist or third-party databases to create materiality framework
  • ESG Agenda Items at Investment Committee: ESG section as standing item at committee meetings
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16
Q

Methods of ESG Intergration into Portfolio

(9 Points)

A
  • adjusting forecast financials, e.g. revenue, operating cost, capital expenditure
  • adjusting valuation models or multiples, e.g. discount rates, terminal values, ratios
  • adjusting credit risk and duration
  • managing risk, including exposure limits, scenario analysis and value-at-risk models
  • ESG factor tilts
  • ESG momentum tilts
  • strategic asset allocation, including thematic and ESG objective tilts
  • tactical asset allocation
  • ESG controversies and positive ESG events
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17
Q

ESG Assessment Technique Stages

(5 Points)

A

Stages are typically:

Research,
* gathering information
* materiality assessments
* tangible and intangible factors
* generating ideas

Valuation, and

Portfolio Construction.

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18
Q

Gathering Information as ESG Technique

(3 Points)

A
  • gather financial and ESG information from multiple sources, e.g. company reports, third-party research and primary research
  • qualitatitve data: company questionnaires, management interviews
  • quantitative data: environmental emissions data
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19
Q

Materiality Assessments as ESG Technique

(3 Points)

A
  • materiality is measured in terms of likelihood and magnitude of impact on a company’s financial performace
  • nonmaterial factors do not affect financials, valuations or company business models
  • “ethical” or “impact” investment strategies that may not be deemed material
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20
Q

Tangible Assets

(3 Points)

A
  • physical asset (hard asset)
  • e.g. land, manufacturing plants, inventories, furniture, machinery
  • both tangible and intangible assets: ESG analysis techniques, materiality
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21
Q

Intangible Assets

(3 Points)

A
  • non-physical asset that is diffcult or impossible to touch
  • e.g. goodwill, patents, copyrights, intellectual property and know-how, software and innovative assets, corporate culture, incentives, employee productivity, other forms of social and relationship assets
  • both tangible and intangible assets: ESG analysis techniques, materiality
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22
Q

International Integrated Reporting Council (IIRC) Framework

(6 Points)

A

Describes different forms of corporate capital (both intangible and tangible):
* financial capital: pool of funds available to organization obtained through financing (debt, equity or grants) or generated through operations
* manufactured capital: manufactured physical objects of organization for use in good production or service provision, e.g buildings, equipment and infrastructure (roads, ports, bridges and wast- and water-treatment plants)
* intellectual capital: knowledge-based intangibles, including intellectual property (e.g. patents, copyrights, software, rights and licenses) and “organizational capital” (e.g. tacit knowledge, systems, procedures and protocols)
* human capital: people’s competencies, capabilities and experiences, and their motivations to innovate, including alignment and support of governance framework, risk management and ethical values; ability to understand, develope and implement and organization’s strategy; loyalities and motivations for improving processes, goods and services, including ability to lead, manage and collaborate
* social and relationship capital: institutions and relationships between communities, groups of stakeholders and other networks; ability to share information to enhance individual and collective well-being, e.g. shared norms; common values and behaviors; brand and reputation that organization has developed; organization’s social licenses to operate
* natural capital: environmental resources, including air, water, land, minerals, forests, biodiversity and ecosystem health

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23
Q

Companies that Profit from positive Relationship with Regulators

(6 Points)

A

Good Relationship to Regulators is Intangible Asset:
* social media and avertising companies
* pharmaceutical companies
* airlines
* financial services
* any company that has significant regulator

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24
Q

Examples of Forms of Intangible Corporate Capital

(5 Forms)

A
  • relationship with regulators
  • customer satisfaction
  • company reputation
  • employee satisfaction
  • supplier relationships
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25
Q

Generating ESG Investment Ideas

(5 Points)

A
  • valuation screen (fundamental screen): mix of positive (seek high G), negative (avoid low G) or momentum (seek rising G, avoid declining G) ESG factors to create attractive investment universe
  • thematic investment: work on ESG megatrends, like access to clean water or energy services
  • red flag: naroow investable universe by flagging companies, e.g. acceptable low governance score, unacceptable number of ESG controversies
  • priced in: ESG risk judged against what can be priced into the asset
  • materially negative assessment: negative assessment of a ESG factor or collection of factors could lead to investment failing to meet a specified hurdle, triggering a “sell” or “do not invest” signal
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26
Q

ESG Scorecard Development Steps

(6 Steps)

A
  1. identify sector- or company-specific ESG items
  2. break down issues into a number of indicators, e.g. policy, measures, disclosure
  3. determine a scoring system based on what good/best practice looks like for each indicator/issue
  4. assess a company and give it a score
  5. calculate aggregated scores at issue level, dimension level (ESG level) or total score level (relative weight of each issue)
  6. benchmark the company’s performance against industry averages or peer group (optional)
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27
Q

Types of unmanaged Material ESG Risk

(2 Points)

A
  • unmanageable risk: which cannot be addressed by company initiatives
  • e.g. carbon emissions of airplanes in flight
  • management gap: which is risks that could be managed through suitable initiatives, but might not yet be managed
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28
Q

Determining Materiality on ESG Issues

(3 Points)

A
  • forecasting how much one ESG issue will affect future cash flow is matter of personal judgement
  • investment professionals often develop own view what is most material
  • SASB Materiality Map provides framework to guide on most material ESG factors per sector
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29
Q

Material Risk of Cannabis Plant

(2 Points)

A
  • growing plants is complex operation with enhanced risk compared to standard manufacturing
  • regulatory oversight is more complex as drug regulators and pharmaceutical regulators are involved
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30
Q

ESG Risk-Mapping Methodologies

(3 Methodologies)

A
  • research stage: company or sector has its risk mapped to a specific theme or factor that has be judged material
  • risk mapping methodology: mapping portfolio or investible universe against specific ESG risk (e.g. climate risk, water-related risk) to identify which sectors or companies have highest risk; examples include carbon-footprinting or testing portfolios against different climate scenarios
  • mapping for material opportunities and risks: score on 10-point scale or qualitative label (low or high risk), combination of scorecard technique and mapping technique
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31
Q

Adjustment Models based on Assessment of Material ESG Factors

(6 Points)

A
  • forecasted financials, e.g. assessment of environmental litigation fee, higher sales forecast due to customer satisfaction
  • valuation-model variables, e.g. cost of capital or terminal growth rates in discounted cash flow analysis
  • valuation multiples, e.g. different P/E ratios for companies with different ESG performance
  • forecasted financial rations
  • internal credit assessments
  • assumptions in qualitative or quanitative models
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32
Q

Discounted Cash Flow Input Adjustments based on ESG Assessment

(3 Points)

A
  • company’s environmental management processes are judged “strong” or “weak”
  • cost of capital used to discount cash flows in DCF analysis is adjusted down or up by 1%
  • can also be on country or sector basis
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33
Q

Balance Sheet and Margin Adjustments based on ESG Assessment

(3 Points)

A
  • adjustment can be direct impact (environmental fine) or risk-adjusted impact of a carbon tax
  • adjustments are either directly to balance sheet or capital expense
  • e.g. company’s strong management of its employees leads to assessment of strong future customer satisfaction, which leads to raised sales forecast in 5 years
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34
Q

Valuation Ratio Adjustments based on ESG Assessment

(3 Points)

A
  • investor might decide that company is woth a certain P/E ratio premium or discount because of ESG factor
  • e.g. investor might invest in company with 50% discount on P/E ratio simply because company has high ESG risk
  • e.g. investor might invest in company with 50% premium on P/E ratio simply because company has strong ESG characteristics
35
Q

Impact of weak/strong ESG Factor in Fundamental Analysis

(5 Points)

A
  • weak/strong business driver or moat
  • up/down sales or margins
  • up/down long-term cash flow
  • up/down intrinsic value
  • up/down share price
36
Q

Intrinsic Value

A

A measure of what an asset is worth that is arrived at by means of an objective calculation or complex financial model, rather than using the currently trading market price of that asset.

37
Q

P/E Ratio

A

Price-to-Earning Ratio:
A stock valuation metric that compares a company’s share price to its earning per share.

38
Q

Impact of high Employee Satisfaction in Fundamental Analysis

(3 Points)

A
  • high customer satisfaction
  • higher sales growth than competition
  • higher valuation than competition
39
Q

Impact of high Carbon Intensity in Fundamental Analysis

(6 Points)

A
  • increased risk from carbon taxes
  • increased cost of debt for new project financing
  • higher taxes
  • increased balance sheet risk or default on debt
  • change in debt rating
  • lower value of corporate debt
40
Q

Impact of weak Governance in Fundamental Analysis

(3 Points)

A
  • increased risk of negative capital allocation decisions
  • lower future cash flows or difficulty in IPO to capital markets
  • lower valuation or increased bankruptcy risk
41
Q

Active Ownership as ESG Technique

(2 Points)

A
  • stewardship-led investment team might gain commitment or action to improve ESG factor, thereby influencing future cash flows and valuation
  • information gained from active engagement might also inform about companies ESG policy
42
Q

Challenge of Company Disclosure on ESG Topics

(6 Points)

A
  • disclosure of ESG data is often not compulsory
  • management has large flexibility in determing what ESG factors are material
  • judgement of materiality may also be affected by geographical or cultural differences
  • overdisclosure, particularly of non-material ESG information
  • no disclosure may not always mean poor ESG management, especially for small companies with limited resources
  • ESG information may be commercially sensitive hence may only be disclosed selectively
43
Q

Disclosure and ESG Data-Related Challenges

(6 Points)

A
  • generally inadequate disclosure, e.g. scope 3 emissions missing
  • different understanding of materiality between companies and investors
  • no consensus on the level of detail required
  • inconsistensy across companies, geographies and sectors
  • mostly unaudited
  • mostly not publicly available and hard to obtain
44
Q

Comparability of ESG Data Challenges

(4 Points)

A
  • analysts have different judgements on materiality
  • different countries have different governance best practices or different view on risk and materiality
  • different countries might also put different weights on social factors
  • lacking consensus on disclosure of natural capital
45
Q

Global Real Estate Sustainability Benchmark (GRESB)

(7 Points)

A

Established in 2009.
Provides the following:
* composite of peer group information
* overall portfolio KPI performance
* aggregate environmental data in term of usage and efficiency gains
* GRESB score that weights management, policy, disclosure, risk, opportunities, monitoring and EMS
* environmental impact reduction targets
* data validation and assurance

46
Q

ESG in Fixed Income Investment

(4 Points)

A
  • ESG techniques for equity need to be adopted for fixed income because bonds differ in credit quality, duration, currency, etc.
  • impact of ESG factors on a company’s ability to pay its debt obligations
  • ESG factors that affect balance sheet strength are most material
  • not much focus on future growth and ESG opportunities as main focus is the repayment of debt
47
Q

ESG Factors in Sovereign Debt Investment

(2 Points)

A
  • material country-level factors: peace, corruption, ease of doing business, freedom of expression, education levels, regulatory robustness and legal robustness
  • ESG factors integrated, like political risk factors and governance factors
48
Q

ESG in Municipal Credit Investment

(10 Points)

A

Municipal space: Region, State or City.

ESG analysis assessment for:
* governance practices
* management practices
* overall transparency
* reporting
* corruption levels
* budgetary practices
* pension liabilities
* contracts

Environmental factors (e.g. regions air quality and associated health risks) and quality of public infrastructure (e.g. wastewater treatment plant) can also affect issuer’s ability to repay its debt.

49
Q

Challenges for ESG Integration

(3 Points)

A
  • disclosure and data-related challenges, such as: data consistency, data scarcity, data incompleteness, lack of audited data
  • comparability difficulties, include a lack of comparability between ESG rating agencies, comparison across different accounting standards, comparisons across geographies/cultures, inconsistent use of jargon terminology
  • materiality and judgment challenges, such as: judgments that are difficult and uncertain, and judgments that are inconsistent
50
Q

Challenges from Incomplete ESG Datasets

(3 Points)

A
  • ESG data are not consistently reported across companies, geographies and sectors
  • most ESG data are not audited
  • some ESG data are not easily available in public databases and are difficult to obtain
51
Q

ESG Data Disclosure Challenge

(5 Points)

A
  • disclosure vary between companies and regionally
  • ongoing efforts on data disclosure via organizations, such as SASB, GRI and IASB
  • investor: assessing material piece of ESG information is difficult without data disclosure
  • companies: vast range of possible ESG data and differing demand of investors, stakeholders and rating agencies make resource demands unreasonable
  • no consensus agreement on what good ESG disclosure looks like, and it might differ by strategy and asset class
52
Q

ESG Comparability and Materiality Judgment Challenge

(4 Points)

A
  • ESG rating agencies use different techniques and assessments, so their ratings are not easily compareable
  • judgments on ESG materiality differ between analysts
  • differences are magnified by cultural or regional differences, like different governance best practices or differing views on risk materiality between countries
  • jargon terms (e.g. responsible, sustainable, ethical) are not used consistently by specialists and are confusing to non-specialists
53
Q

ESG Integration Challenges

(3 Points)

A
  • many QESG factors are not agreed upon and data is relatively short run
  • separation between ESG analyst teams and investment decision makers; ESG analysts are more junior
  • ESG factors are difficult to judge and quantify; impacts to cash flows, growth rates or DCF assumptions are hard to express
54
Q

Investment Firm Culture Challenge on ESG

(5 Points)

A
  • significant number of investment professionals still don’t integrate ESG in their investments
  • firms don’t have significant resources to buy third-party ESG data
  • lack of comparability across asset classes, which makes being consistent on ESG integration difficult
  • additional resources are needed for ESG integration which raises financial and operational challenges
  • investment professionals don’t have much detailed training on ESG integration techniques
55
Q

Criticism on ESG Integration

(5 Points)

A
  • too inclusive of poor companies: ESG mutual funds and ETFs often hold investments in companies that are “bad actors” in one or more ESG spaces
  • dubious assessment criteria: criteria used for selecting ESG factors are too subjective; non-material factors might be overemphasized; materiality assessments might be considered flawed
  • quality of data: information used for ESG factors often comes from companies themselves; complicates ability to verify, compare and standardize information
  • lack on emphasis on long-term improvements: financial advisers screen for performance first and only after for ESG; this can exclude companies with high ESG factors that focus on long-term performance
  • evidence for benefits of ESG is mixed or not proven
56
Q

Providers for ESG or Sustainability Products

(3 Points)

A

Large Providers for Profit:
* offer multiple ESG-related products and services, as well as non-ESG-related
* e.g. MSCI, S&P, Sustainalytics, Fitch, Moody’s

Boutique Providers for Profit:
* offer speciality ESG products and services
* e.g. RepRisk, Urgentum, Truvalue Labs, ISS

Nonprofit Providers:
* offer ESG-related products and services which are free for general public
* e.g. Carbon Disclosure Project, IMF Economic Data, World Bank’s ESG Data Portal

57
Q

Types of ESG Services

(8 Points)

A
  • ESG data: quantitative and qualitative information on ESG practices of companies
  • ESG ratings: quantitative and qualitative evaluation of an asset based on assessment of their approach, disclosure, strategy or performance on ESG issues
  • ESG screening: tools that evaluate assets based on their exposure or involvement-specific factors, sectors, products or services
  • voting and governance advice: voting guidelines on governance and other proxy voting items, including compensation and board directorships
  • ESG benchmarks and indexes: set of securities (e.g. stocks, bond) designed to represent an aspect of the total market by including some ESG criteria in the selection
  • ESG news and controversy alerts: assessments that highlight events, behaviors and practices that might lead to reputational and business risk and opportunities
  • integrated research: research of contextualized, data-informed, analytical opinion design to support investment decision making
  • advisory services: ESG strategy, integration, investment process, reporting, corporate advice and ESG-related services
58
Q

ESG-related Advisory Services

(9 Points)

A
  • class action litigation (group of individuals [class] collectively brings a lawsuit against a defendant)
  • SDGs reporting and alignment
  • carbon and water analysis
  • norms and sanctions
  • policy development
  • real estate assessment
  • factor databases
  • supply chain assessment
  • assurance services
59
Q

Berg at al. Study

(4 Points)

A

2019 Study that looks at dataset divergence of ESG Ratings from 6 different Raters:
* ESG performance less likely to be reflected in corporate stock and bond prices as investors face challenge when identifying outperformers and laggards; even if large fraction of investors has preference for ESG, the divergance of ratings disperses the effect on asset prices
* divergence hampers ambition of companies to improve ESG performance, because they receive mixed signals from rating agencies which actions are expected and will be valued
* divergence of ratings poses challenge for research, as using different ratings may alter study’s results and conclusions; different interpretation around ESG ratings represent a challenge for decision-makers

60
Q

Impact of Correlation between ESG Rating Providers

(2 Points)

A
  • high correlation could lead to groupthinking and lack of rigorous thinking; to some, a low correlation is a healthy and useful outcome
  • simplicity and low correlation could bring credibility to ESG ratings and give more consistent message to companies
61
Q

Berg at al. Study on low Correlation

(4 Points)

A
  • sustainability performance less likely reflected in a company stock and bond prices, making it difficult for investors to identify outperformers and laggards
  • could have consquences for investors who rely on single ESG rating and don’t account for low correlation
  • restricts companies from improving their ESG performance due to mixed signals on expected actions
  • challenge for academic and empirical (knowledge by means of direct and indirect observation) research as using different rating providers might alter a study’s conclusion
62
Q

ESG Data and Research Providers

(3 Points)

A

Traditional Providers:
* provide sustainability data and and ratings about primarily large publicly traded companies
* level of automation is low or medium, with human judgment still used
* founded from the Socially Responsible Investment (SRI) Industry

Nontraditional Providers:
* credit-rating agencies (e.g. Fitch, Moody’s, S&P) entered the space more recently
* level of automation is low or medium, with human judgement still used

AI or Algorithm-Driven Providers:
* using new technologies, like Natural Language Processing (NLP), to identify ESG risks and opportunities from web-based sources
* launched recently (past 5 years)
* level of automation is high

63
Q

ESG Rating and Data Providers Rating Basis

(3 Points)

A
  • raw or partially transformed data (e.g. absolute carbon emissions, carbon intensity)
  • ratings based on backward-looking reported data
  • ratings or information based on internet, 3rd party and web-reported data
64
Q

Considerations when choosing ESG Providers

(9 Points)

A
  • number of companies covered
  • history/length of datasets
  • languages used
  • stability of methodology
  • regularity of updates
  • asset class coverage
  • quality of methodology
  • range of datasets
  • range of tools and services offered
65
Q

Difference of Investor Focus to ESG Rating Agencies Focus

(6 Points)

A
  • focus on subsector and company-specific material issues
  • focus on product impacts and actual financial (sales) or extra-financial performance (customer retention)
  • more focus on interpreting raw data
  • deeper insights into associated financial risks for companies
  • focus less on company policies and common disclosures
  • focus less on history and more on forward-looking factors
66
Q

Limitations of ESG Assessments

(5 Points)

A
  • unaudited limited data sources
  • limited time resource to make the comparisons
  • relatively nontransparent and noncomparable way assessments are performed
  • different methodologies (e.g. focus on investment processes or portfolio holdings)
  • different data sources or rating providers
67
Q

ESG Rating Provider’s Assessment Sources

(4 Points)

A
  • fundamental, including risk, business model, policies and preparedness
  • operational, including carbon impact, water stress and human capital management
  • disclosure-based assessment
  • algorithm and news based, including controversies
68
Q

ESG Rating Provider’s Assessment Steps

(3 Steps)

A
  1. identify indicators to determine which ESG factors are most material to each sector
  2. gather set of data points for identified ESG indicators on company in question based on public disclosures, survey responses, unstructured company data or third-party data; assess data gathered for consistency and missing data points
  3. quantify data points through scoring or ranking methodologies; combine data points with predetermined weighting system applied to create a sector-relative score
69
Q

Function of ESG Index Providers

(3 Points)

A
  • FTSE Russell and MSCI provide ESG index benchmarks
  • rules-based criteria assessed on underlying ESG scores and metrics
  • indexes can be used as benchmark for fund managers to be measured against or as funds to directly invest in (ESG ETFs)
70
Q

ESG Data Sources

(3 Points)

A

Primary Data Source (direct):
* directly via surveys, company communication, company reports, presentations and public documents
* e.g. company website, UN Global Compact

Primary Data Source (indirect):
* indirectly via news articles, thrid party reports/analysis and investment/consulting research
* e.g. Glassdoor for employee satisfaction

Secondary Data Source:
* transforming primary ESG data to create new scores, assessments or ratings
* available from commercial organizations, regulators, NGOs and other nonprofit or charitable bodies

71
Q

Levels at which ESG Factors affect Price Performance

(4 Points)

A

Issuer and Company Level:
* risks that affect specific bond issue and not whole market
* related to factors like governance, regulatory compliance, strength of balance sheet and company specific items (e.g. brand reputation)

Industry and Geographic Level:
* risks from wide-ranging issues affecting entire industry or region
* related to factors like regulatory, legal, technological changes and market changes

72
Q

Do Credit Investors focus on E-, S- or G-Factor?

A

G-Factor due to downside risk prevention (e.g. bankruptcy risk)

73
Q

ESG Challenges for Credit Rating Agencies

(4 Points)

A
  • lack of transparency
  • inconsistency or changing methodologies
  • use of estimated data
  • lack of comparability through time and between providers and companies
74
Q

Challenges of Fixed Income

(4 Points)

A
  • time horizon (e.g. 3 month paper or 50 year bond)
  • lack of proxy vote
  • different levels of management engagement
  • unique qualities of sovereign credit
75
Q

Credit Rating Agencies (CRAs) Standard Credit Ratio Analysis

(4 Points)

A

Analyses on:
* how ESG factors affect issuers ability to convert assets into cash (profitability and cash flow analysis)
* extent to which ESG-related costs affect issuers ability to generate profits and add to refinancing risks
* impact of changing yields, from ESG events, have on cost capital (interest coverage ratio and capital structure)
* how well issuer’s management uses assets under control to generate sales and profit (efficiency ratios)

76
Q

Credit Rating Agencies (CRAs) Rating Method

(4 Points)

A
  • based on analytical judgment (quantitative and qualitative), using all information deemed material by analysts
  • forward looking, with varying time horizon
  • composed of dynamic and relative measures
  • statement of relative likelihood of default
77
Q

Term: QESGs (Quantitative ESG Scores)

(3 Points)

A
  • used by fixed income investors for fixed income assessments
  • based on quantitative data (carbon intensity) or judgments based on data or policy (commitment to align business model to science-based targets)
  • term QESG is not used by all investors and they might refer to different proprietary systems
78
Q

Green Bonds

(4 Points)

A
  • fixed income instrument tied to projects that create environmental benefit, such as climate change mitigation, climate change adaption, conservation or pollution control
  • e.g. projects for renewable energy, public transportation, energy-efficient buildings, energy-efficient manufacturing processes, agricultural land management, waste management and water management
  • often verification from third-party organization to ensure financing meets criteria set out in the bond
  • frameworks that aim to standardize classification of “green” bonds: EU Green Taxonomy / EU Green Bond Standard
79
Q

Sovereign Credit Risk Assessment

(6 Points)

A

ESG factors to consider:
* resources (incl. population trends, human capital, education and health)
* emerging technologies
* government regulations and policies

Governments ability to generate enough revenue to repay its financial debt obligations.

CRA assessment framework:
* economic growth (including E & S)
* governance

80
Q

Credit Default Swap (CDS) Market

A

Marketplace where credit default swaps are bought and sold. Buyer of protection does periodic payments to seller in exchange for protection against default.

81
Q

Bias in ESG Ratings

(3 Points)

A
  • company size bias: larger companies might obtain higher ratings because of ability to dedicate more resources to nonfinancial disclosures
  • geographical bias: toward companies in regions with high reporting requirements or other cultural factor (e.g. higher unionization in Europe)
  • industry and sector bias: rating providers oversimplify industry weighting and company alignment
82
Q

Impairment

A

A permanent reduction in the value of a company asset.

83
Q

Correlation Coefficients

(3 Points)

A
  • -1: negatively correlated
  • 0: uncorrelated
  • +1: positively correlated

The correlation of ESG Rating Providers range from +0.2 to +0.46, therefore are positively correlated.

84
Q

Real-time Dynamic Analysis

(8 Points)

A

Geospatial Data is used to track:
* deforestation
* mining
* construction
* shipping
* traffic

Natural Language Processes (NLP) is used to track:
* social sentiment on the internet