Sustainable Finance and Investment
Level 2 — Portfolio Decarbonisation · SFDR Classification · NGFS Scenario Analysis

This unit covers the taxonomy of labelled sustainable debt instruments and the ICMA principles that govern each type. Green bonds, social bonds, and sustainability bonds are governed by ICMA's use-of-proceeds framework specifying four components: use of proceeds, process for project evaluation and selection, management of proceeds, and reporting. Sustainability-linked bonds differ structurally: they link the bond's financial terms to the issuer's achievement of pre-specified sustainability performance targets. The unit maps the growing market for each instrument type, noting the geographic distribution of issuance, the sector concentration, and the trend toward SLB and SLL growth relative to use-of-proceeds instruments.

This unit covers the ESG-integrated equity product landscape, from passive ESG index strategies through active ESG equity funds to direct equity engagement by asset owners. The four major ESG index construction methodologies are covered: negative screening, best-in-class screening, ESG tilting, and ESG optimisation, with the MSCI, FTSE Russell, and S&P Dow Jones index families that apply each. Active ESG equity strategies covered include thematic, ESG-integrated fundamental, and impact-oriented approaches. The active ownership dimension covers stewardship: how institutional investors use voting, engagement, and escalation to influence company behaviour on ESG issues.

This unit covers the blended finance instrument landscape and the public climate finance windows available to support private capital mobilisation. Blended finance instrument types covered are: first-loss tranches, guarantees, technical assistance grants, and co-investment at below-market terms. The public climate finance windows covered are the Green Climate Fund, the Global Environment Facility, bilateral climate funds (UK International Climate Finance, Germany's IKI, and USAID climate programmes), and multilateral development bank climate facilities (AfDB, IFC, and ADB). For each, the unit covers the thematic priorities, eligible entities, typical instrument and terms, and the access pathway.

This unit covers the regulatory drivers shaping sustainable finance flows, with particular attention to the frameworks most relevant to the programme's emerging market focus. In the EU, the key regulatory drivers are SFDR, the EU Taxonomy, the EU Green Bond Standard, and CSRD. In the UK, the Sustainability Disclosure Requirements (SDR) and the UK Green Taxonomy are primary. Emerging market frameworks covered include the African Development Bank's Sustainable Finance Framework, the Nairobi Declaration on Sustainable Finance, the ASEAN Taxonomy for Sustainable Finance, and the Monetary Authority of Singapore's Green and Sustainability-linked Loan Grant Scheme. The unit maps alignment and divergence with EU and UK approaches, identifying interoperability provisions enabling cross-border sustainable finance transactions.

This unit applies the ecosystem knowledge from Units B4.1 through B4.4 to a structured capital flow mapping exercise for a specified asset class. Learners select one of three asset classes: renewable energy infrastructure in Sub-Saharan Africa, green affordable housing in Southeast Asia, or sustainable agriculture in Latin America. For their chosen asset class, they map the sustainable finance instruments available on the debt and equity sides, the public finance windows accessible, the regulatory frameworks that apply to investors, and the key bottlenecks preventing greater private capital mobilisation. The landscape analysis is the capstone deliverable for this module.

This unit covers the WACI calculation methodology and the data sources required for a mixed equity and fixed income portfolio. WACI is calculated as the sum across all portfolio holdings of the portfolio weight of each holding multiplied by the holding's carbon intensity (Scope 1 and 2 GHG emissions divided by revenue in the same year, expressed as tonnes CO2e per million USD of revenue). The unit works through the calculation for a portfolio of 25 holdings, sourcing GHG data from the MSCI ESG Research dataset and the CDP database, and revenue data from financial statement data providers. The PCAF methodology for financed emissions is introduced as the attribution-based alternative for credit portfolios. The data quality section covers the PCAF data quality scoring system and the implications of using estimated versus reported GHG data on WACI reliability.

This unit covers the SBTi-FI framework, which specifies how financial institutions should set and disclose science-based targets for their financed emissions. The SBTi-FI methodology covers three approaches: the portfolio coverage approach, the temperature rating approach, and the WACI reduction approach. The sector pathway benchmarks covered are the IEA Net Zero Emissions by 2050 sector pathways, which specify the carbon intensity trajectory for each major sector from the current level to net zero by 2050. The unit maps the IEA sector pathways to the GICS sector classifications used in portfolio construction. The sectors covered in depth — utilities, energy, materials, and transportation — are those most commonly overrepresented in high-carbon portfolios.

This unit covers the gap analysis between the portfolio's current sector-level carbon intensity and the SBTi-FI 1.5 degree sector pathway benchmarks, and the design of the decarbonisation pathway that closes the gap over the 2025 to 2030 near-term horizon. The gap analysis produces a heat map of sectors by the magnitude of their current intensity gap relative to the benchmark: red sectors (intensity significantly above the benchmark, requiring urgent action), amber sectors (intensity above the benchmark but within a manageable range), and green sectors (intensity at or below the benchmark). The pathway design covers the investment management decision between the engagement pathway (active engagement with companies to accelerate decarbonisation) and the divestment pathway (gradual divestment and reinvestment in lower-intensity holdings), including the conditions under which each is preferable and the portfolio construction constraints that apply as binding constraints.

This unit covers the quantitative modelling of the portfolio rebalancing required to implement the decarbonisation pathway. The rebalancing model covers the current portfolio sector weights and carbon intensities, the target sector weights implied by the pathway, the trades required to move from current to target, the transaction costs of the rebalancing, and the tracking error impact of the sector tilts relative to the portfolio's benchmark index. The tracking error analysis is covered because it is the primary commercial constraint on portfolio decarbonisation for benchmark-aware institutional investors. The resolution approaches covered are: enhanced indexing (minimising tracking error while applying WACI constraints), engaging companies rather than divesting, and explicitly widening the tracking error budget in the client mandate to accommodate the decarbonisation commitment.

This unit covers the preparation of the portfolio decarbonisation strategy document for an institutional asset owner client and the annual monitoring framework that tracks progress against the pathway. The strategy document covers: the current WACI baseline with methodology note and data quality assessment, the sector gap analysis heat map, the decarbonisation pathway specification, the implementation approach (engagement strategy, divestment triggers, and climate solution overweights), the portfolio construction constraints, and the expected WACI trajectory. The annual monitoring framework specifies the WACI calculation frequency, engagement progress reporting, divestment log, and pathway deviation reporting. The capstone deliverable is the complete strategy document and the monitoring framework template, structured for an institutional investment committee audience using the language of the NZAM and NZAOA commitment frameworks.

This unit covers the SFDR classification framework and the criteria for each article. Article 6 applies to financial products that do not integrate sustainability risks systematically; Article 8 applies to products that promote environmental or social characteristics; Article 9 applies to products that have sustainable investment as their objective. The unit covers the ESMA Q&A guidance on classification, including key distinctions: Article 8 allows a mix of sustainable and non-sustainable investments while Article 9 requires that all investments are sustainable investments (with the exception of hedging instruments and liquidity holdings); Article 8 requires that promoted characteristics are pursued through binding investment strategy elements, not merely aspirational language; Article 9 requires a specific sustainable investment objective. The unit covers the most common misclassification patterns and the regulatory enforcement actions that have resulted from them.

This unit covers the design of a compliant Article 8 fund investment strategy, including the specification of binding elements (minimum ESG score thresholds using MSCI or Sustainalytics scores, sector exclusions, WACI maximum constraints, or engagement requirements) and the calculation of the sustainable investment proportion. The three-step sustainable investment assessment is covered: contribution (how the investment contributes to the claimed environmental or social objective, using EU Taxonomy alignment or alternative metrics for non-Taxonomy activities), DNSH (how the investment avoids significant harm to other objectives, typically assessed through PAI indicator screens), and good governance (assessed through board composition, remuneration policy, and anti-corruption measures).

This unit covers the 18 mandatory PAI indicators specified in the SFDR RTS and the calculation methodology for each. The mandatory indicators cover five categories: GHG-related indicators (GHG emissions Scope 1, 2, and 3; carbon footprint; GHG intensity of investee companies; exposure to fossil fuel companies; share of non-renewable energy consumption and production), biodiversity-related indicators, water-related indicators, waste-related indicators, and social and employee matters, respect for human rights, anti-corruption, and anti-bribery indicators (violations of UN Global Compact and OECD Guidelines, gender pay gap, board gender diversity, and exposure to controversial weapons). The unit works through the calculation for each mandatory indicator using the case portfolio data and covers ESMA guidance on handling data gaps: the acceptable estimation approaches for each indicator category and the disclosure treatment of coverage ratios.

This unit covers the production of the entity-level PAI statement, which financial market participants above a specified size (500 or more employees at group level) must publish annually. The entity-level PAI statement covers the PAI indicators across all financial products managed by the entity. The format specified in the SFDR RTS includes: the entity description, the description of principal adverse impact policies, the mandatory PAI indicators table (with current period values, prior period values, and percentage change), actions taken or planned to reduce adverse impacts, and engagement policies related to PAI reduction. The actions section is the most substantive non-quantitative element: it must describe specific actions for each mandatory indicator where the entity's managed portfolio has significant adverse impact exposure, with specificity required to satisfy ESMA's anti-greenwashing supervisory expectations.

This unit covers the preparation of the pre-contractual disclosure document (the SFDR annex to the fund prospectus) for an Article 8 fund and the periodic reporting requirements. The pre-contractual disclosure annex must cover: the environmental or social characteristics promoted and how they are met, the investment strategy binding elements, the proportion of sustainable investments and the EU Taxonomy-aligned proportion, the monitoring approach, the data sources used, the asset allocation and geographical and sector distribution, and the share of assets excluded on the basis of the fund's sustainability screening criteria. The ongoing reporting covers the periodic disclosure document updating actual portfolio data, the reconciliation between pre-contractual disclosed targets and actual portfolio data, and the disclosure treatment of shortfalls. The capstone deliverable is the complete pre-contractual disclosure document for the case Article 8 fund and the entity-level PAI statement.

This unit covers the NGFS scenario architecture, the NGFS Scenario Explorer tool (hosted at ngfs.net/ngfs-scenarios-portal), and the mapping of scenario assumptions to the financial risk drivers relevant to institutional investors. The Scenario Explorer provides detailed economic and financial variable projections for each scenario, including carbon price trajectories, energy mix transitions, GDP growth rates, and sector-specific output and price impacts. The assumption mapping covers the six most commercially significant sectors for a diversified equity and fixed income portfolio: utilities (high transition risk and physical risk), oil and gas (high transition risk from demand decline and asset stranding), automotive (high transition risk from EV transition pace), financial services (moderate transition risk through financed emissions; significant physical risk), real estate (significant physical risk; transition risk from building energy efficiency regulation), and agriculture (high physical risk from crop yield impacts under hot house world).

This unit covers the quantification of transition risk exposure for equity holdings under the orderly and disorderly scenarios through two risk channels: the direct carbon cost channel (higher carbon prices increase operating costs for carbon-intensive companies, reducing EBIT margins and equity valuations) and the revenue impact channel (the energy transition changes the demand for fossil fuel products and high-emission services, reducing revenue growth rates for affected sectors). The sector-level transition risk exposure calculation uses the NGFS Scenario Explorer carbon price trajectories and the portfolio's sector-level WACI from Module 2.1 to estimate the annual carbon cost impact per sector per scenario. The revenue impact assessment uses the IEA World Energy Outlook demand scenarios to estimate oil, gas, and coal demand trajectories and translates these into revenue growth rate assumptions for energy sector holdings. The unit works through the full calculation for three sectors — utilities, oil and gas, and automotive — producing a transition risk exposure table.

This unit covers the quantification of physical risk exposure for real asset holdings under the hot house world scenario. Physical risk quantification for a portfolio requires asset-location-level data: the geographic coordinates of real estate, infrastructure, and operational assets held in the portfolio (either directly or through REIT and infrastructure fund holdings). The unit covers the data sources: WRI Aqueduct for water stress and riverine flood risk, the Climate Central coastal risk screening tool for sea level rise and coastal flood risk, and the NASA GISS temperature dataset for chronic heat stress. The physical risk exposure estimate for each asset uses a risk score derived from the physical risk dataset, translated into a financial impact estimate through a lookup table of typical asset impairment rates for each risk level and asset type, derived from insurance industry loss data. The unit covers the appropriate way to present probabilistic estimates with confidence intervals rather than point estimates given the significant uncertainty in physical risk financial quantification.

This unit covers the assembly of the portfolio-level scenario analysis results and the identification of climate-related opportunities across the three scenarios. The scenario analysis assembly integrates the transition risk table from Unit 2.3.2, the physical risk table from Unit 2.3.3, and an opportunity identification exercise covering portfolio holdings positioned to benefit from the climate transition under orderly and disorderly scenarios: renewable energy companies, energy efficiency technology companies, electric vehicle manufacturers, and adaptation service providers. The portfolio-level scenario analysis output table presents the estimated impact on portfolio value (as a percentage change in NAV) under each scenario across three time horizons: short term (2025 to 2030), medium term (2030 to 2040), and long term (2040 to 2050), distinguishing transition risk impact, physical risk impact, and opportunity upside for each time horizon and scenario.

This unit covers the preparation of a TCFD-compliant scenario analysis disclosure for an institutional investor, which is the capstone deliverable for this module. The TCFD recommendations for asset managers and asset owners specify four elements of scenario analysis disclosure: the scenarios used and the time horizons applied (with justification for the selection), the key assumptions and parameters for each scenario, the risks and opportunities identified under each scenario (covering both transition and physical risk by asset class or sector), and the impact of the scenarios on the portfolio's assets and investment strategy. The disclosure format covers the narrative description requirements (which ISSB S2 and TCFD specify must be sufficiently specific to be useful without being unnecessarily detailed) and the quantitative disclosure requirements (which ISSB S2 adds relative to TCFD by requiring disclosure of the potential financial effects of climate risks and opportunities). The unit covers the appropriate uncertainty qualification language for scenario analysis disclosures, which must acknowledge the inherent uncertainty of long-horizon climate projections without undermining the analytical usefulness of the disclosure.