Free Practice Questions for CFA Institute Sustainable-Investing Exam

GRESB scoresreal estate assets based on both management practices (I) and performance KPIs (II). Themanagementcomponent includescorporate policies, governance, and sustainability commitments, while theperformancecomponent evaluatesenergy efficiency, carbon footprint, and resource usage.

Thegreeniumrefers to thelower yield ("green premium") investors accept when purchasing green bonds, as they prioritize sustainability over purely financial returns.

Green bonds often trade at lower yields than conventional bonds due to high demand from ESG-conscious investors.

Increased return required (A) is incorrect because green bonds generally offer lower yields.

Excluding fossil fuels (C) is part of negative screening, not greenium.

Employee relations(e.g., fair wages, diversity, workplace safety) are a keysocial factorunder ESG. Companies withstrong labor policiestend to havehigher productivity and lower turnover risks.

Lobbying (A)is agovernanceissue.

Bribery & corruption (C)are alsogovernance risks, not social risks.

Investment mandates should reflectboth ESG factors and their prioritization, ensuring alignment withclient beliefs, risk tolerance, and sustainability goals.

Materiality alone (A) is not enough, andrationale (B) is part of the process but not the defining criterionfor structuring investment mandates.

Both stock exchanges and securities regulatorsplay a role inmandating ESG disclosures:

Stock exchanges(e.g., London Stock Exchange, NYSE) may require ESG disclosures as part oflisting requirements.

Securities regulators(e.g., SEC, European Securities and Markets Authority) enforce ESG reporting laws.

TheEU Green Taxonomyprovides aclassification system that defines which economic activities are environmentally sustainable, ensuringinvestors and companies align with EU climate goals.

It does not classify all businesses by ESG scores (A).

It does not mandate investment in climate solutions (C), but encourages it.

ESG rating providerstypically uselonger time horizonsthan credit rating agencies because ESG factors (e.g., climate change, governance risks)unfold over extended periods.

Credit rating agencies focus onshort-term default risk, whereas ESG ratings assesslong-term sustainability risksthat may impactvaluation and performance over decades.

Ajust transitionensures that the move toward alow-carbon economy is fair, particularly forworkers in carbon-intensive industries. It promotessocial inclusion, retraining programs, and economic supportfor affected communities.

Carbon taxes (B) and immediate divestment (C) are strategies but do not define a just transition.

Product liabilitydirectly impactsexternal stakeholders, such asconsumers, regulators, and the general public. Companies withunsafe or defective productsfacelegal risks, reputational damage, and financial losses.

Labor rights (A) and human capital development (C) primarily affect internal stakeholders (employees).

Thelargest driverof global greenhouse gas (GHG) emissions iscarbon dioxide (CO₂) from fossil fuels and industry, accounting for approximately75% of total GHG emissions. This includes emissions from coal, oil, and natural gas combustion for energy, manufacturing, and transportation.

While land-use change (C) contributes significantly (~10–15%), and methane (A) is a potent GHG,CO₂ from fossil fuels remains the dominant factordriving climate change.

ESG rating providersrely on multiple sources of public information, includingcompany reports, government databases, and nonprofit organizations.

They do not require company-reported ESG data to be audited (A).

Many ESG rating providers (e.g., MSCI, Sustainalytics) use CDP carbon data, making (C) incorrect.

Social trends, such as demographic shifts, diversity and inclusion, or changing consumer behavior, can impact companies differentlyeven within the same sector. The extent of impact depends oncorporate culture, business model, and regional market dynamics.

For example, two technology companies may face the same social trend (e.g., remote work demand), but their responsediffers based on leadership philosophy, operational strategy, and corporate values.

Option A is incorrect because different industries experiencevarying levels of exposureto social trends. Option B is incorrect because economic development significantly influences how social trendsmanifest and affectbusinesses.

TheGreenbury Report (1995)was developed in response to concerns overexcessive executive pay in newly privatized UK utilities. It introducedrecommendations on executive compensation transparency and governance.

TheDodd-Frank Act (A)was a U.S. financial reform law, while theSarbanes-Oxley Act (C)focused on corporate financial reporting.

Stranded asset risk refers to the financial risk associated with assets that may suffer from unanticipated or premature write-downs due to regulatory, environmental, or market shifts. Equity investors generally bear a higher risk than fixed-income investors because they are the residual claimants on a company’s assets. If an asset becomes stranded, equity investors absorb the losses first before bondholders or other creditors.

Equity holders are exposed to long-term sustainability risks, such as fossil fuel companies losing value due to climate policies, technological advancements, or consumer preferences shifting toward renewable energy. Fixed-income investors, particularly those holding investment-grade bonds, have priority in claims, and their risk is more directly tied to credit quality and duration rather than asset obsolescence.

A challenge to ESG integration at the asset allocation level when using mean-variance optimization is that it is highly sensitive to baseline assumptions.

Baseline Assumptions: Mean-variance optimization relies on assumptions about expected returns, volatilities, and correlations among assets. Small changes in these inputs can lead to significantly different asset allocation outcomes.

Estimation Risk: The sensitivity to assumptions increases the risk of estimation errors, which can result in suboptimal asset allocation decisions and increased portfolio risk.

ESG Data Integration: Integrating ESG factors adds another layer of complexity, as ESG data can be inconsistent or incomplete, further complicating the optimization process.

CFA ESG Investing References:

The CFA Institute’s materials on portfolio management and asset allocation discuss the challenges of mean-variance optimization, including its sensitivity to baseline assumptions and the difficulties in integrating qualitative ESG data into quantitative models​​​​.

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