In this second installment of our blog series of scenario analysis, we focus on how investors can start exploring impacts on portfolios of listed equities/fixed income with existing climate risk analytics. The series provides our current reflections on how corporations and financial institutions can integrate physical climate risk into scenario analysis. The first installment, on foundations, focuses on important characteristics of climate science that affect how climate data can be used to inform scenario analysis for economic and financial risk. A forthcoming post will discuss scenario analysis at the asset level for real asset investments and corporate facilities.
Scenario Analysis Serves Different Purposes
Scenario analysis serves different purposes for real asset investors and for equity or fixed income investors. When looking at a single real asset, scenario analysis can be used to inform very concrete decisions regarding the asset, working directly with the asset operator: whether and what flood protections to put in place, insurance requirements, anticipated impacts on operational costs from water and energy consumption, etc.
In contrast, for an equity or fixed income portfolio, investors’ influence on the resilience of the underlying asset (e.g. a corporation or a sovereign entity) is much more limited. In a previous publication we discussed the importance of shareholder engagement with corporations as a key channel for investors to help raise awareness of rising risks from climate change, and encourage companies to invest in responsible corporate adaptation measures. Investors, however, would be hard pressed to run scenario analysis on individual portfolio companies themselves, and disclosures from corporations on scenario analysis remain weak and fragmented.
Meanwhile, prudential authorities in Europe have been signalling expectations that insurers and banks perform scenario analysis on their portfolio to examine potential impacts of climate change, to understand how different climate-driven outcomes might prevent the insurers and lenders from meeting their financial obligations. Most recently, in April, the Bank of England Prudential Regulatory Authority (PRA) released a proposed set of specifications for scenario analysis that includes some simplified assumptions on climate impacts on financial portfolios.
In this piece we examine how available climate risk analytics can be leveraged to inform early attempts at developing stress test assumptions and simulate potential outcomes on investment portfolios aligned with the relative exposure of corporations by sectors and by regions.
Climate Risk Analytics for Equities/Fixed Income
We leverage our data on corporate physical risk exposure to determine what assumptions can be made in this type of early stress test. In this piece, we analyze the climate risk scores for 1730 of the largest companies in MSCI All Country World Index (ACWI). This physical risk assessment is based on the exposure of the underlying database of about a million facilities globally.
We score each company on three components of physical climate risk: Operations Risk, Supply Chain Risk and Market Risk.
Scores are normalized, with 0 being the least exposed and 100 being the most exposed. (For more details, please refer to our previous report Physical Climate Risk in Equity Portfolios as well as our Solutions page)
In line with considerations of relevant time horizons and of impacts being locked in over the climatic short term (detailed in Part 1), our standard equity risk score data considers projected climate impacts in the 2030-2040 time period under a single RCP scenario, RCP 8.5 (the worst case scenario, also known as business as usual), but leverages several climate models.
From Climate Hazard Exposure to Financial Impacts
Studies of how physical climate hazards translate into financial impacts at the company level are scarce. While a growing body of research explores the complex relationships between climate hazards and economic impacts, which vary by sector and by region, academic research on the relationship between climate events and corporate/stock performance, at scale, is still limited. Our approach focuses on leveraging what can be estimated in a robust, data-driven way: relative exposure of companies to climate hazards.
Our analysis of global corporations shows the relative exposure of industries to climate related risks across all three dimensions: operations risk, market risk and supply chain risk (Table 1). This table shows the sectors with the highest exposure, including manufacturing, infrastructure (utility, energy, transportation), and industries with high dependency on natural resources (food, apparel).
Table 1. Industries most exposed to physical climate risks . Source: Four Twenty Seven.
Services, not shown in the table, are not only less exposed, they’re also far less sensitive to changes in climatic conditions, with the exception of the financial sector, which holds the risk of all the other sectors in its investment, lending or insurance portfolios. Note that real estate is not included in this analysis, but data on regional exposure in that sector can be found in our white paper on climate risk in real estate.
These differentiated impacts by sectors can lay the foundations for a stress test, as industry risk levels can be used to set initial assumptions on sector-wide impacts. Following the example set out by the Bank of England’s PRA, for example, investors could assume that sectors with high exposure might see a 10% or 20% drop in value, whereas sectors with medium exposure would see half of that impact. These assumptions are not intended to substitute for financial impact modeling, but provide a shortcut to test how a portfolio might perform under climate-driven duress.
Drivers of Exposure to Physical Climate Risk
While some sectors overlap with those examined in scenario analysis exercises for transition risk, such as utilities and energy, other sectors with high exposure are not typically included in scenario analysis, like tech manufacturing or pharmaceuticals. Understanding the nuances of the risk pathways in each sector and their relative exposure to different hazards is critical to refining assumptions and developing models that can quantify value-at-risk by sector with some accuracy.
Manufacturing companies in the tech sector rely on complex value chains that can be interrupted by extreme weather events, particularly in Asia, which is a region highly exposed to typhoons and extreme precipitation. They also often produce expensive and water sensitive products using costly machinery and can incur costs and damages from extreme events on site. Pharmaceuticals are particularly exposed because of the prevalence of their manufacturing in water-stressed regions (India, California) and regions highly exposed to hurricanes & typhoons. For example, damaged manufacturing sites in Puerto Rico had rippling impacts on pharmaceutical operations globally during Hurricane Maria in 2017. Pharmaceuticals is also one of the groups with the most weight in the MSCI ACWI, making this exposure particularly significant (Fig 2).
Figure 2. The average company risk score by GICS Industry Group, with Operations Risk on the y-axis and Market & Supply Chain Risk on the x-axis. Red represents those industries with the highest exposure, green represents those with the lowest exposure and the size of the bubble signifies an industry’s weight in the MSCI ACWI. Source: Four Twenty Seven.
In the utility sector, the nature of the exposure is very different from that observed in transition risk analysis: carbon neutral power generation can be as exposed as thermal generation – for example due to water stress or floods for hydro facilities. In addition, utilities rely on expensive equipment, such as cables, poles, fuel storage and pipes that are often exposed to severe weather and sensitive to extreme conditions. Their operations are also resource-intensive, relying heavily on energy and water for cooling. They can experience operations disruptions during peak energy demands or due to equipment damage during storms.
The exposure of the automobiles & components sector has been illustrated by recent flooding in Japan. Automobile companies rely on manufacturing processes and machinery that can be interrupted due to flooding or hurricane damage, but their reliance on employee labor also makes these companies vulnerable to the wider regional impacts of extreme events. For example, during Japan’s extreme flooding in July 2018, Mazda was forced to halt operations at some of its facilities that were not physically damaged themselves, because its employees could not travel safely to work.
Climate change calls for a better understanding of impacts of physical hazards on financial markets, which remains a topic largely unexplored. Yet as regulators push insurers and banks towards the integration of climate scenarios into stress testing, robust, data-driven views on the relative exposure of sectors or regions provide a helpful foundation from which to explore the potential impacts on equity and fixed income portfolios.
Over time, better data will become available as academic and industry providers develop models that capture the nuances of climate impacts on different industries and geographies, but also as companies make a concerted effort to disclose better data on their past and anticipated financial exposure to extreme weather and climate-related events.
Four Twenty Seven’s data products and portfolio analytics support risk reporting and enable investors and businesses to understand their exposure to physical climate risks across asset classes.
As climate change impacts worsen, the need for solutions to support adaptation grows. Founder & CEO, Emilie Mazzacurati, joined Molly Wood on Marketplace Tech to discuss climate risk analytics. The conversation covers the importance of understanding climate risk exposure and how companies leverage climate data to prepare for climate hazards. While recent findings on sea level rise and other climate impacts can be daunting, there is hope for adaptation that builds resilience across sectors.
For more on climate risk and resilience in the private sector, explore our climate risk analytics and read our reports on Climate Risk in Real Estate and Engaging with Corporates to Build Adaptive Capacity.
July 15, 2018 – 427 ANALYSIS: Record-setting rains in Japan led to floods and landslides that disrupted business operations of automobile manufacturers, electronic companies and others. Understanding the ownership and operations of facilities located in the damaged areas provides insight into what companies and industries may exhibit downturns in performance over the near term and be vulnerable to similar storms in the future.
Japan was the inundated by over 70 inches of rain in early July, an event that resulted in significant loss of life and business disruptions. The clouds have since receded, leaving economic damage with long-term implications yet to be understood. However, estimates expect industry losses to be in the billions USD. Destruction was centered in Okayama and Hiroshima, driven by flooding and landslides.
Typhoons Prapiroon and Maria contributed to this rainfall and climate scientists expect a warmer climate to increase the severity of these storms. Japan has fewer preparations in place for floods than it does for other extreme events, and understanding the various manifestations of risk caused by extreme rainfall is essential to mitigating damage in the future.
Much of Okayama sits immediately below mountains, which makes it particularly exposed to devastating landslides following significant rainfall events. Bursting pipes and power outages led over 250,000 homes in the Okayama and Hiroshima Prefectures to go without water for several days after the floods. Landslides destroyed homes and exacerbated infrastructure damage caused by flooding.
Many business operations were severely impacted by these events as well, and some facilities remain closed. Companies such as Panasonic experienced physical damage due to flooded facilities, and others were impacted by damaged infrastructure and communities, impacting their supply chains and workforce.
Okayama and Hiroshima are centers of economic activity for a number of key sectors in Japan, hosting production facilities for auto manufacturing, consumer electronics, retail trade and others. The figure below highlights the concentration of facilities of companies in the auto manufacturing industry by the sector of their operations. Companies that rely heavily on manufacturing operations are particularly vulnerable to flooding due in part to their utilization of expensive equipment that can easily incur water damage.
The heavy rainfalls showed no favorites in their disruption of manufacturing facilities across industries. For example, Mitsubishi and Mazda halted operations at some factories during the storms, due in part to supply chain disruptions. Many companies were also forced to pause operations because employees couldn’t get to work. While Mazda’s headquarters in Hiroshima Prefecture and a production facility in Yamaguchi Prefecture weren’t damaged themselves, they remained closed after the storms until employees could return to work safely. Likewise IHI Corp. closed its No. 2 Kure factory in Hiroshima because of water shortages and employees’ commute challenges.
The extent of long-term economic impacts that these companies will bear in the aftermath of last week’s storms is not yet known, but merits ongoing examination as the region recovers. Understanding the location of a corporation’s facilities and their exposure to extreme weather events is a key starting point for gauging exposure, and therefore can be instrumental in understanding company’s future performance.
Four Twenty Seven’s extensive facility level database can help investors proactively identify their portfolio companies’ exposures both to chronic climate effects and to individual extreme weather events such as the extreme rainfall that beset Okayama and Hiroshima. This deeper understanding can drive better risk-return tradeoffs, and importantly, shareholder engagement strategies that foster investments in resilience.
This Four Twenty Seven webinar on emerging metrics and best practices for physical climate risks and opportunities disclosures covers recent developments in TCFD and Article 173 reporting, challenges to assessing climate risk exposure, strategies for investors to incorporate this information into decision-making and approaches to build corporate resilience.
The European Bank for Reconstruction and Development (EBRD) and the Global Centre of Excellence on Climate Adaptation (GCECA) have announced details of their conference, “Advancing TCFD guidance on physical climate risk & opportunities.” A culmination of their initiative focused on building climate resilience in the financial sector, the conference will share findings on physical risk and resilience metrics from three expert working groups. Read the press release below, originally published on EBRD’s website:
Findings of industry working groups will be published ahead of the event “Advancing TCFD guidance on physical climate risk and opportunities”
The EBRD and GCECA are hosting an event “Advancing TCFD guidance on physical climate risk and opportunities”, which will be held on 31 May 2018 at the EBRD’s headquarters in London.
Findings about physical climate risk and opportunity disclosure by industry-led working groups, which have been meeting at the EBRD’s headquarters since 2017, will be released at the conference.
This event will build on the recommendations of the TCFD, headed by Mark Carney and Michael Bloomberg. These recommendations highlight a growing concern over the effects of climate change on the economy and financial markets, and the need for investors to be able to assess climate-related risks.
At the conference, senior representatives from the financial, business and regulatory communities will discuss the development of metrics for disclosing physical climate risk and opportunities, and the integration of these disclosures into decision-making.
The confirmed high-level speakers at the conference will include:
The panelists will represent a rich variety of market leaders such as Aon, Citi, Maersk, Moody’s and Standard Chartered, as well as the Bank of England, the French Treasury and the European Commission.
Findings from the expert working groups will also be published. The working groups include representatives from Allianz, APG, Aon, Bank of England, Barclays, BlackRock, Bloomberg, BNP Paribas, Citi, DNB, DWS, Lightsmith Group, Lloyds, Meridiam Infrastructure, Moody’s, OECD, S&P Global, Shell, Siemens, Standard Chartered, USS and Zurich Asset Management. An expert team led by Acclimatise and Four Twenty Seven is providing the Secretariat function to the working groups.
TCFD recommendations, released for the G20 summit in June 2017, call for the inclusion of metrics on physical climate risk and opportunities into financial disclosures by corporations and financial institutions. This is echoed in the recommendations of the European Union’s High Level Expert Group on sustainable finance, released in January 2018, and the Action Plan from the European Commission released in March 2018.
Last month the EBRD become a TCFD supporter, the first multilateral development bank to do so. The EBRD’s 2017 Sustainability Report, to be released later this month, will provide an initial outline of how TCFD recommendations relate to the Bank’s operations. The conference on 31 May will be an important milestone in the Bank’s support for the TCFD process.
Since 2006 the EBRD has invested over €22 billion in projects under its Green Economy Transition approach. Energy efficiency and environmental sustainability have been a priority for the Bank since its creation in 1991.
April 25, 2018 – 427 TECHNICAL BRIEF. Financial institutions, corporations, and governments increasingly strive to identify and respond to risks driven by physical climate impacts. Understanding the risks posed by climate change for facilities or infrastructure assets starts with conducting a risk assessment, which requires an understanding of the physical impacts of climate change. However, climate data in its raw form is difficult to integrate into enterprise risk management, financial risk modelling processes, and capital planning. This primer provides a brief introduction to climate models and data from a business or government perspective.
The first of several reports explaining the data and climate hazards analyzed in Four Twenty Seven’s equity risk scores and portfolio analytics, Using Climate Data unpacks the process through which raw climate data is transformed into usable metrics, such as future temperature projections, to help financial, corporate and government users productively incorporate climate-based analytics into their workflows. Beginning by explaining what a global climate model is, the report explains climate data’s format, computational choices to hedge uncertainty and resources for aggregated climate projections tailored to specific audiences.