Portfolio Alignment and Net-Zero Banking: Beyond Financed Emissions

Portfolio Alignment and Net-Zero Banking: Beyond Financed Emissions

In recent years, financial institutions have put significant effort into measuring their financed emissions. That was an important step — but on its own it can mislead. Financed emissions show how carbon-intensive your portfolio is today; they do not tell you whether that portfolio is on a path to net zero. Two banks can report the same financed emissions figure while one is rapidly exiting coal and the other is writing new coal loans. The concept that captures this difference is portfolio alignment.

Financed Emissions: A Starting Point, Not a Destination

The Partnership for Carbon Accounting Financials (PCAF) developed a global standard for measuring financed emissions (PCAF, 2022). The standard provides a consistent way to calculate the emissions attributed to an institution's loans and investments — the GHG Protocol's Scope 3, Category 15. Attribution rests on a simple logic: a share of a company's emissions, proportional to the financing provided relative to the company's total value, is written to the bank.

Attribution Mechanics: How the Share Is Calculated

The core of PCAF is the attribution factor: the proportion of a borrower's or investee's emissions a bank takes onto its books. For listed equity and corporate debt, the formula is:

Attribution factor = Outstanding amount ÷ EVIC Attributed emissions = Attribution factor × Company's Scope 1+2 emissions

Here EVIC (Enterprise Value Including Cash) is the company's market capitalisation plus total debt (without subtracting cash). The logic is clean: whatever share of the company's total capital structure the bank provides, it carries that share of the company's emissions.

A key subtlety: the denominator is not EVIC for every asset class. PCAF defines a different denominator per asset class — total equity plus debt for unlisted companies, total project value for project finance, property value for commercial real estate, and the vehicle's value for motor vehicle loans. Attribution is therefore not a single formula but an asset-class-specific set of rules.

The Data Quality Score: As Important as the Number Itself

PCAF asks institutions to assign a data quality score from 1 to 5 to every calculation. A score of 1 is best (verified, reported primary emissions data); 5 is weakest (an estimate built on coarse proxies such as sector averages). The intermediate tiers move from physical activity data toward revenue- or asset-based estimation.

Why does disclosing the score matter? The same financed-emissions figure means entirely different things depending on the data behind it. An inventory dominated by scores of 4–5 is a weak basis for target-setting; a year-on-year "reduction" may not be a real emissions cut at all, but simply a shift caused by moving to better data. Reporting the score is a precondition for auditability and comparability over time.

This metric is powerful, but it is inherently backward-looking: it gives a stock snapshot of a past year. A net-zero commitment, by contrast, is a promise about a future trajectory. Looking only at financed emissions is like driving by looking in the rear-view mirror; you see where you are, but not where you are going.

Important: A fall in financed emissions is not always good news. A bank can "improve" its figure by dropping carbon-intensive but transitioning clients from its portfolio — which does not reduce real-world emissions; it merely sends those clients to another financier. Alignment metrics help distinguish these paper improvements from genuine progress.

What Is Portfolio Alignment?

Portfolio alignment measures how consistent a loan or investment portfolio is with a given climate goal (usually 1.5 °C). The question is no longer "how much does my portfolio emit today?" but "is my portfolio consistent with a scenario that reaches net zero?" The Task Force on Climate-related Financial Disclosures (TCFD) Portfolio Alignment Team grouped these measurement methods into three main approaches (TCFD Portfolio Alignment Team, 2021).

Methods for Measuring Alignment

1. Binary target measurement. The simplest approach: it measures how many of the companies in the portfolio have a credible net-zero or science-based target — for example, "X% of our portfolio by weight has a validated SBTi target." It is easy to apply but does not measure whether those targets are actually being met.

2. Temperature rating / Implied Temperature Rise (ITR). This assigns the portfolio a single temperature score — for example, "this portfolio is aligned with 2.4 °C of warming." It is intuitive and easy to communicate, but highly sensitive to underlying assumptions, and different providers can produce different results.

3. Benchmark divergence. This compares the production or emissions trajectories of portfolio companies against the sectoral benchmarks of a climate scenario (for example, the PACTA method). It is the most granular and sector-sensitive approach — and, in return, requires the most data and modeling.

Placing the three methods side by side clarifies which suits which purpose:

No single method is perfect on its own. Mature institutions typically use a combination: a temperature score for communication, benchmark divergence for internal management, and binary target coverage for reporting.

Stock or Trajectory? A Worked Example

To make the concept concrete, consider two banks operating in the same sector. Both report 2.0 MtCO₂e of financed emissions for their power portfolio — on paper, they look identical.

• Bank A is actively winding down coal lending; the weighted majority of its portfolio is renewables and grid clients with validated net-zero targets. Its trajectory runs below the sectoral 1.5 °C benchmark, and its ITR score is 1.7 °C.
• Bank B carries the same figure but is writing new coal and gas plant loans. Most of its clients have no credible transition plan; its trajectory diverges upward from the sectoral benchmark, and its ITR score is 2.9 °C.

The financed-emissions figure is identical for both banks — yet the alignment metrics tell a completely different story. Bank A is converging on net zero while Bank B is drifting away from it. A supervisor or investor looking only at the stock snapshot cannot see this difference; adding trajectory metrics brings the risk profile into focus.

Net-Zero Banking Frameworks

Banks using these metrics usually anchor to a commitment framework. The Net-Zero Banking Alliance (NZBA) set the template for this space as an initiative in which banks commit to align their lending and investment portfolios with net zero by 2050 and to set interim targets (typically 2030) for priority sectors. Although the initiative's governance and membership have evolved over time, the "interim target + sectoral trajectory" logic it established has become a sector reference.

In parallel, the Science Based Targets initiative (SBTi) developed a net-zero standard specific to financial institutions (SBTi, 2024). This standard combines the measurement of financed emissions (on PCAF logic) with portfolio alignment and target setting, integrating the "measure, set targets, align, report" loop.

Regulatory and Supervisory Drivers

These metrics are no longer the preserve of voluntary commitments; they are increasingly a matter of supervisory expectation. The European Central Bank (ECB) has run climate stress tests that assess the resilience of bank portfolios to transition and physical climate risks, setting the expectation that banks perform scenario analysis grounded in financed-emissions and alignment data. The European Banking Authority (EBA), in its guidelines on the management of ESG (Environmental, Social, Governance) risks, expects banks to integrate climate risk into their risk-management frameworks and to engage in transition planning. The direction of travel is clear: portfolio alignment is moving from a well-intentioned sustainability metric to part of prudential oversight.

What This Means for Your Team

Practical takeaways for sustainability and risk teams at financial institutions:

• Two metrics, two purposes. Use financed emissions to measure the current state; use portfolio alignment to manage the trajectory. Do not substitute one for the other.
• The data foundation is shared. Both metrics rest on the same client- and asset-level data; a solid PCAF foundation also lays the groundwork for portfolio alignment.
• Match the method to the purpose. A temperature score suits board communication; benchmark divergence suits sectoral strategy.
• Don't penalize transition finance. Dropping a carbon-intensive client fixes the figure but does not transform the real economy. The shift to a net-zero economy requires the highest-emitting sectors — steel, cement, power generation — to keep accessing finance. The real climate contribution lies not in expelling these clients but in financing their transformation against a credible transition plan. Alignment metrics capture exactly this: they reward the client's transition trajectory and pace, not its current stock of emissions. A bank that takes the "just transition" principle seriously risks inadvertently penalising transition finance unless it uses trajectory-tracking metrics.

The essence of net-zero banking is managing a direction, not a single number. Financed emissions show where you started; portfolio alignment shows whether you are moving toward the goal. Institutions that use both respond to regulatory expectations and stakeholder trust on far firmer ground.

To see how financed emissions and portfolio alignment metrics are managed on a single auditable data foundation, request a demo from Azalt.

References

1. PCAF, "The Global GHG Accounting and Reporting Standard for the Financial Industry — Part A: Financed Emissions," 2nd Edition, Partnership for Carbon Accounting Financials, 2022.
2. TCFD Portfolio Alignment Team, "Measuring Portfolio Alignment: Technical Considerations," 2021.
3. SBTi, "Financial Institutions Net-Zero Standard," Science Based Targets initiative, 2024.
4. Net-Zero Banking Alliance, "Guidelines for Climate Target Setting for Banks," UNEP FI, 2021.
5. 2° Investing Initiative (2DII), "PACTA — Paris Agreement Capital Transition Assessment: Methodology Document," 2DII, 2021.
6. European Central Bank, "2022 Climate Risk Stress Test," ECB Banking Supervision, 2022.
7. European Banking Authority, "Guidelines on the Management of ESG Risks (EBA/GL/2025/01)," EBA, 2025.