Climate Transition Risk and Asset Valuation Training Course

Participants can assess the valuation implications of climate policy and carbon-pricing instruments.

• Paris Agreement temperature goals translated into sectoral decarbonisation pathways
• Nationally determined contributions, net-zero laws, and policy credibility assessment
• Carbon pricing instruments: taxes, emissions trading systems, and border adjustments
• EU CBAM cost exposure calculated from embedded emissions and allowance prices
• Subsidies, mandates, and product standards affecting technology substitution rates
• Policy shock timelines aligned with asset lives and refinancing dates

Participants can evaluate emissions data quality and use it in financial risk analysis.

• GHG Protocol scopes mapped to operational control and value-chain exposure
• Scope 1, 2, and 3 inventories assessed for completeness and comparability
• Emissions intensity metrics selected for power, industry, transport, and property
• Data-quality scoring covers boundaries, estimates, verification, and reporting lags
• Financed emissions attribution using outstanding amount and enterprise value
• Avoided emissions claims separated from reported operational emissions inventories

Participants can select sector-relevant transition variables and plausible decarbonisation pathways.

• Sector pathways distinguish demand reduction, efficiency, electrification, and fuel switching
• Power-market merit order changes modelled under renewable capacity expansion
• Industrial process emissions linked to clinker, steel, chemicals, and heat
• Transport transition variables include fleet turnover, fuel standards, and charging infrastructure
• Commercial property pathways connect energy performance certificates and retrofit obligations
• Asset competitiveness assessed against peers, substitutes, and low-carbon production capacity

Participants can design transparent transition scenarios for valuation and risk analysis.

• NGFS scenario families compared by policy timing, temperature outcome, and disorder
• Scenario narratives converted into measurable financial modelling assumptions
• Carbon-price trajectories selected by geography, sector, and reporting currency
• Technology cost curves applied to substitution and capital expenditure forecasts
• Demand elasticities and pass-through rates documented with supporting evidence
• Sensitivity ranges distinguish central estimates, downside cases, and stress assumptions

Participants can prioritise transition risks for financial modelling using a documented materiality process.

• Materiality matrices rank likelihood, magnitude, timing, and management capacity
• Revenue exposure segmented by product, geography, customer, and contract duration
• Operating-cost exposure separates energy, carbon, inputs, insurance, and compliance
• Capital expenditure requirements classified as maintenance, retrofit, replacement, or growth
• Asset-life assumptions tested against regulation, technology obsolescence, and demand
• Management actions evaluated for cost, feasibility, timing, and execution risk

Participants can translate transition assumptions into structured financial forecast adjustments.

• Base-case forecasts reconciled to management plans and historical financial performance
• Revenue bridges quantify volume, price, mix, and market-share changes
• Carbon-cost schedules calculate gross liability, free allocation, and pass-through
• Transition capital expenditure phased by project timing and asset condition
• Working-capital assumptions adjusted for inventory, receivables, and supply-chain changes
• Terminal value reflects long-run competitiveness, growth, and asset replacement needs

Participants can build a discounted cash flow valuation incorporating transition-risk scenarios.

• Discounted cash flow structure links operating drivers to free cash flow
• Scenario-weighted valuations distinguish expected value from downside valuation cases
• WACC components reviewed for market risk, financing conditions, and capital structure
• Discount-rate adjustments separated from cash-flow adjustments to avoid double counting
• Terminal growth rates tested against sector transition pathways and market maturity
• Enterprise value bridges identify changes in debt capacity and equity value

Participants can assess transition effects on asset utilisation, useful life and residual value.

• Asset registers connect location, technology, emissions profile, and remaining useful life
• Capacity-factor assumptions reflect demand shifts, dispatch rules, and operating constraints
• Stranding indicators include policy bans, uneconomic operations, and replacement technologies
• Residual-value estimates test decommissioning costs, salvage markets, and reuse potential
• Real-options thinking compares immediate retrofit, deferred investment, and retirement choices
• Asset-level results aggregated without masking high-risk facilities or contracts

Participants can identify transition-related impairment indicators and reporting implications.

• IAS 36 impairment indicators applied to policy, demand, and technology changes
• Cash-generating units defined consistently with management monitoring and asset economics
• Value-in-use assumptions reconciled to climate scenarios and approved budgets
• Fair-value less-costs-of-disposal considers market participant transition assumptions
• Useful-life revisions affect depreciation, amortisation, and residual-value estimates
• Disclosure evidence documents key assumptions, sensitivities, and estimation uncertainty

Participants can assess transition risk within borrower creditworthiness and lending structures.

• Borrower business models assessed for transition-sensitive revenue and cost exposure
• Debt-service coverage ratios stressed under carbon costs and reduced demand
• Liquidity analysis tests refinancing risk, covenant headroom, and capital expenditure
• Collateral values assessed for energy performance, regulation, and market liquidity
• Loan covenants link emissions targets, reporting duties, and remediation actions
• Watchlist triggers identify deteriorating transition assumptions before financial distress

Participants can measure and report transition-risk concentrations across financial portfolios.

• Portfolio segmentation combines sector, geography, tenor, collateral, and emissions intensity
• Concentration metrics identify correlated exposure to policy and technology shocks
• Weighted average carbon intensity interpreted alongside business-model transition evidence
• Financed-emissions baselines distinguish absolute emissions from attribution methodology changes
• Look-through analysis traces fund and structured-product exposure to underlying assets
• Portfolio heat maps prioritise review using materiality and management-readiness scores

Participants can evaluate portfolio alignment against sector pathways and stated targets.

• Portfolio alignment compares company emissions trajectories against sector reference pathways
• Temperature-alignment metrics examined for assumptions, coverage, and interpretation limits
• Implied temperature rise separated from financed-emissions reduction target metrics
• Forward-looking alignment evidence includes capital expenditure, production plans, and governance
• Engagement, financing conditions, and divestment assessed as portfolio-management responses
• Target credibility tests interim milestones, baseline choice, and reported progress

Participants can model financial exposure to compliance carbon markets and allowance positions.

• Compliance carbon markets distinguish allowances, offsets, registries, and surrender obligations
• Allowance demand driven by emissions, allocations, banking, and hedging policy
• Forward curves, spot prices, and basis risk applied to carbon-cost forecasts
• Hedging strategies evaluated against volume uncertainty and counterparty credit risk
• Carbon allowance accounting considers inventory, provisions, and purchase commitments
• Voluntary carbon-credit claims separated from compliance-market financial exposures

Participants can evaluate whether a transition plan is financially credible and decision-useful.

• Transition-plan components connect targets, governance, capital expenditure, and financial outcomes
• Capital allocation assessed between abatement projects, maintenance, acquisitions, and dividends
• Marginal abatement cost curves prioritise emissions reductions by cost and feasibility
• Internal carbon prices tested for consistency with investment appraisal assumptions
• Project economics compare retrofit, replacement, fuel switching, and closure alternatives
• Funding plans assess grants, green finance, retained earnings, and debt capacity

Participants can assess transition risk in property and infrastructure valuation cases.

• Energy performance certificates influence property rents, liquidity, and refinancing conditions
• Building retrofit pathways model insulation, heating systems, and energy-cost savings
• Infrastructure concessions tested for demand, regulation, tariff, and technology changes
• Contract allocation reviewed for carbon costs, performance standards, and force majeure
• Long-dated assets assessed against policy milestones and replacement cycles
• Valuation comparables adjusted for energy efficiency, compliance, and capital expenditure

Participants can establish governance and control requirements for transition-risk valuation models.

• Board oversight defines accountability for climate assumptions and capital-allocation decisions
• Three-lines model assigns ownership, challenge, assurance, and escalation responsibilities
• Model inventories record purpose, methodology, data sources, and validation status
• Assumption registers document source evidence, owner, approval date, and review frequency
• Version control preserves calculation lineage, scenario changes, and decision records
• Independent challenge tests bias, double counting, and unsupported management assumptions

Participants can prepare financial disclosure evidence for material transition-risk judgements.

• IFRS S2 disclosure structure covers governance, strategy, risk management, and metrics
• Climate-related financial effects connected to reported amounts and future cash flows
• Scenario-analysis disclosures explain methods, horizons, assumptions, and limitations
• Cross-industry metric categories include emissions, internal carbon prices, and capital deployment
• Materiality judgements documented for investor-focused climate-related financial information
• Disclosure controls align sustainability data, financial reporting, and assurance evidence

Participants can communicate transition-risk findings in clear investment, credit or board papers.

• Decision papers state recommendation, financial effect, assumptions, and required approvals
• Scenario results presented through valuation ranges, sensitivities, and key drivers
• Risk registers distinguish mitigants, residual risk, owner, and trigger dates
• Investment-committee materials compare base case, transition case, and management response
• Credit memoranda link borrower actions to rating, pricing, tenor, and covenants
• Evidence packs retain source documents, calculations, challenge records, and sign-offs

Participants can build, review and present a complete transition-risk asset valuation and recommendation.

• Case scope defines asset, decision question, valuation date, and stakeholders
• Emissions baseline and sector pathway establish the transition-risk evidence base
• Scenario assumptions quantify policy, carbon price, demand, technology, and capital expenditure
• Climate-adjusted cash flows produce valuation, impairment, and credit-risk implications
• Peer review challenges data quality, model logic, sensitivities, and recommendation evidence
• Final presentation defends governance actions, disclosures, and investment or lending decision