How to account for banks’ contribution to CO2 emissions
Price adjustments will depend on individual counterparties’ carbon footprints
When contemplating the industries that pose the greatest threats to the planet, banking may not be the first that springs to mind. Unlike the hydrocarbons or transport sectors, the part it plays in generating carbon emissions is mostly indirect, and involves facilitating the business of energy-intensive clients via loans or derivative contracts.
Yet the impact of these activities is real enough. Under the Greenhouse Gas Protocol, these indirect contributions are referred to as Scope 3 emissions, and measuring them is key to steering banks’ portfolios towards carbon neutrality by 2050. The Net-Zero Banking Alliance, which comprises almost half of the global banking industry, has committed to that target and its members have begun taking steps to reach it.
Most banks are doing so not through a codified set of regulations but by following a rule of thumb: if a client or counterparty is projected to be significantly exposed to climate risk over the duration of a contract, a deal might not go ahead.
A rigorous framework for the measurement and the accounting of carbon emissions has yet to be established. However, Chris Kenyon, global head of quantitative innovation at MUFG, risk expert Mourad Berrahoui and Andrea Macrina, a professor of mathematics at University College London, are conducting research into the form such a framework might take. They recently presented their latest findings, in which the main innovation is the CO2-equivalent valuation adjustment (CO2eVA), a measurement based on the carbon equivalence principle the trio introduced earlier this year. CO2eVA can be positive or negative, depending on whether it refers to carbon emissions or carbon sequestration.
Any solution to the challenge of reaching net-zero will involve aligning incentives and costs. “What [CO2eVA] provides is a framework for quantifying the carbon mitigation cost of reducing those Scope 3 emissions to zero by 2050,” says Kenyon. He adds that this method applies to internal cost calculation, and therefore helps banks assess the merits of individual deals.
From the modelling perspective, the approach is based on what Christoph Burgard and Mats Kjaer presented in 2013 and 2017 on how the price of a derivative needs to be adjusted to account for the counterparty’s creditworthiness and for both the funding cost and the strategy employed to finance a deal.
“We’re really pleased that we could extend Burgard and Kjaer’s approach using a double decomposition, and get a clean answer for what a Scope 3 valuation adjustment should look like,” says Kenyon. “We worked out how to calibrate the model and deal with the P and Q measures in a rigorous way.”
Kenyon, Berrahoui and Macrina’s model uses the counterparty’s carbon footprint to assess the contribution that the financial support provided by a bank would make to carbon emissions. The model also uses the climate scenarios provided by the Network for Greening the Financial System to make its projections.
To Burgard and Kjaer’s approach, the three researchers have added a new variable: the carbon price. To factor in the time value of transactions, they also include a parameter that progressively increases from zero in 2023 to one in 2050. This has the effect of overweighting the cashflows that are being projected closer to the deadline.
They give two stylised examples of an airline and a shipping company to compare the credit valuation adjustment and funding valuation adjustment figures with CO2eVA figures. For deals of short tenors (five years), CO2eVA figures are of comparable magnitude to the corresponding CVA and FVA figures. However, as the tenor stretches to 20 years and nears the 2050 deadline, the CO2eVA figures are five to 10 times higher than the corresponding CVA and FVA figures, displaying a non-linear relationship that is curved by time. This is a typical non-linearity in the climate space, driven by the expectation that carbon prices will increase significantly to 2050.
The proposal for the internal cost calculation of CO2eVA is only an intermediate step in Kenyon, Berrahoui and Macrina’s research. Ultimately, a higher cost to the bank will be reflected in higher costs for its clients, and the trio are conducting follow-up research to determine how much banks will need to charge clients and how CO2eVA will affect derivatives pricing.
“The next chapter of our work shows how these principles can be used to adjust derivatives’ prices”, says Berrahoui.
Shareholder accountability
Under their proposed framework, a carbon-intensive deal may become prohibitively costly and push the counterparty to either decarbonise its businesses or walk away from the deal. Berrahoui points out that some banks are already trying to reduce carbon risk by divesting from high emitters with low credit ratings. Kenyon adds that the new model “enables a finer control of moving the portfolio from one place to another place in accordance with good business. Ultimately, this is about being responsible to shareholders and assessing whether the bank is being paid for the risk it’s taking. If not, it’s not being responsible to its shareholders.”
Whether banks will adopt a common methodology to assess carbon risk remains uncertain. For Berrahoui, there are three obstacles, the first of which is data. Banks will need to obtain reliable emissions figures from clients or public sources, and these cannot always be guaranteed. “To calculate Scope 3 emissions, banks need to know their clients’ carbon impact,” he says.
The second obstacle is the limited scope of the Partnership For Carbon Accounting Financials, an accounting standard that differs from product to product and which does not currently include swaps and certain other types of derivative. This means banks do not currently get credit for reducing Scope 3 emissions linked to these products in their financial reports, though PCAF says it is working on ways to account for carbon emissions in financial reporting. Berrahoui believes PCAF ought to include more derivatives, such as swaps and swaptions, within its scope.
The third is the very absence of any methodology for measuring and accounting for a bank’s Scope 3 emissions – something Kenyon, Berrahoui and Macrina are attempting to address in their research.
Notwithstanding these obstacles, Kenyon believes there is increasing momentum in banking to reduce the emissions for which the industry is indirectly responsible, “both because the regulators are asking more and more questions and also because people have more experience of unusual climate events”.
Editing by Daniel Blackburn
コンテンツを印刷またはコピーできるのは、有料の購読契約を結んでいるユーザー、または法人購読契約の一員であるユーザーのみです。
これらのオプションやその他の購読特典を利用するには、info@risk.net にお問い合わせいただくか、こちらの購読オプションをご覧ください: http://subscriptions.risk.net/subscribe
現在、このコンテンツを印刷することはできません。詳しくはinfo@risk.netまでお問い合わせください。
現在、このコンテンツをコピーすることはできません。詳しくはinfo@risk.netまでお問い合わせください。
Copyright インフォプロ・デジタル・リミテッド.無断複写・転載を禁じます。
当社の利用規約、https://www.infopro-digital.com/terms-and-conditions/subscriptions/(ポイント2.4)に記載されているように、印刷は1部のみです。
追加の権利を購入したい場合は、info@risk.netまで電子メールでご連絡ください。
Copyright インフォプロ・デジタル・リミテッド.無断複写・転載を禁じます。
このコンテンツは、当社の記事ツールを使用して共有することができます。当社の利用規約、https://www.infopro-digital.com/terms-and-conditions/subscriptions/(第2.4項)に概説されているように、認定ユーザーは、個人的な使用のために資料のコピーを1部のみ作成することができます。また、2.5項の制限にも従わなければなりません。
追加権利の購入をご希望の場合は、info@risk.netまで電子メールでご連絡ください。
詳細はこちら ビュー
市場は決して忘れない:平方根則の持続的な影響
ジャン=フィリップ・ブショー氏はトレードの流れは資産価格に大きく、かつ長期的な影響があると主張する。
ポッドキャスト:ピエトロ・ロッシ氏による信用格付けとボラティリティ・モデルについて
確率論的手法とキャリブレーション速度の向上により、クレジットおよび株式分野における確立されたモデルが改善されます。
2025年の影響度合い:デリバティブ価格設定が主導的役割を担い、クオンツはAIの群れに追随しない
金利とボラティリティのモデリング、ならびに取引執行は、クオンツの優先事項の最上位に位置しております。
東京の豊富なデータが市場への影響について明らかにすること
新たな研究により、定量金融において最も直感に反する概念の一つが普遍的であることが確認されました。
ブラックロックが、ピエール・サロー氏を最高リスク責任者に任命
現CROのエドワード・フィッシュウィック氏は、ブラックロックのRQAグループにおいて研究部門の責任者を務めることとなります。
2026年クオンツ修士課程ガイド:プリンストン大学とバルーク校が二強体制を確立
コロンビア大学が3位に躍進、チューリッヒ工科大学が欧州のライバル校をリードしております。
クアンキャスト・マスターズ・シリーズ:ウォルター・ファルカス、チューリッヒ大学(ETH)
スイスの計画、大規模な共同教員陣、そして公開プレゼンテーションがプログラムを形作っています。
Quantcast Master’s Series: Jack Jacquier, Imperial College London
A shift towards market micro-structure and ML has reshaped the programme