Insurers and pension funds face the imperative of finding investment solutions that generate sufficient returns while also managing risk, in a world of high inflation, geopolitical uncertainty and increasing regulation. The focus on sustainability and specifically climate change is also rising, with increasing pressure to set net-zero commitments.
Setting and implementing climate targets are the next steps in this challenge. Targets typically include emission reductions, engagement and investment in climate solutions, with the ultimate aim of reducing real-world emissions and enabling the transition to a low-carbon economy. Implementing these targets requires forward-looking climate analytics that go beyond traditional carbon footprint data and that can be applied to anticipate future emission pathways.
We consider the most effective metrics for building Paris-aligned portfolios and illustrate how they can be used in conjunction with other portfolio metrics to construct buy-and-maintain and constrained credit portfolios.
There are different ways of estimating and assessing the future pathway of emissions for a company. We discuss four metrics that we use for this assessment: two proprietary in-house metrics and two external metrics.
1. The Robeco Paris Alignment Assessment (‘Traffic Light’)
The Robeco Traffic Light assesses a company’s degree of alignment with a below 2 °C scenario. The categories of alignment can vary from ‘aligned’, ‘aligning’ and ‘partially aligning’ to ‘misaligned’ (see Figure 2). Our SI research analysts assess a company’s degree of alignment by determining the following:
We use the Paris Alignment assessment for three main purposes: engagement, voting and portfolio construction. While this is our preferred method for assessing the future trajectory of portfolio emissions, external metrics can also be used to assess alignment. Two such metrics are Science Based Targets initiative approval and Implied Temperature Rise.
2. Robeco Climate Risk Assessment
The Traffic Light is also an important input in our fundamental assessment to determine to what extent climate risk could have an impact on a firm’s business fundamentals. This climate risk assessment by our fundamental credit analysts of a company’s credit risk profile has three components: assess the level of climate risk exposure, establish how the firm is dealing with climate risk, and estimate the potential financial impact. It incorporates internal and external metrics. We see this as the most complete assessment of a company’s exposure to climate change and the potential impact on default and downgrade risk.
3. Science Based Targets initiative (SBTi)
The SBTi was created in 2015, following the Paris Agreement, to measure the robustness of companies’ targets relative to the ambition of the Paris Agreement. To do this, the SBTi created sectoral methodologies to determine the required reduction in emissions per sector and to establish which metrics are most relevant. The SBTi assesses whether the trajectories of companies are aligned with different pathways. The main advantages of this metric are that it is simple, has a transparent methodology and is widely used and scrutinized. One of the drawbacks is that it can not confirm the likelihood of a company’s ability to meet its targets.
4. Implied Temperature Rise
Implied Temperature Rise (ITR) metrics reflect an implied global temperature rise that is calculated using a company’s emissions overshoot or undershoot relative to a given carbon budget. It is an intuitive metric that, by making a number of assumptions, data providers are usually able to achieve high coverage of the investment universe. However, the modeling entails significant complexity and various assumptions, which can result in a wide range of possible portfolios and outcomes. And, as is the case with the SBTi, most providers rely on the targets set by companies and do not include any assessment of the credibility of these targets.
There is overlap between these four metrics and each has advantages and disadvantages, ranging from issuer coverage and data quality, to comprehensiveness of assessment. In our view, the metrics are best used in combination, with our fundamental assessments of climate alignment and risk being an overriding factor for issuer selection.
We illustrate our approach to incorporating climate targets using a cash flow-matching case study that is a typical for many life insurers or when de-risking a pension scheme. The portfolio in this case study needs to limit the number of fallen angels, match the target cash flow, uphold a minimum rating, have an optimal spread, maintain low capital requirements, make an impact across the SDGs and limit the current and future carbon footprint.
After in-depth client consultation, we construct a portfolio that balances the client’s various risk, return, regulatory and sustainability criteria, and we show across a range of metrics how this portfolio measures up versus a passive reference, as illustrated in Figure 3.
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