Impact of Climate Change on Credit Scoring

Two weeks ago, a study backed by 11,000 scientists confirmed that climate change is a “clear and unequivocal” emergency. Based on 40 years of data, it reiterated much of what has already been said for a long time, including by groups such as the IPCC. In response, around 200 nations have signed on to The Paris Agreement, signed in 2016. In summary, the nations agreed to take steps to keep global temperature rise by 2100 well below 2 degrees Celsius above pre-industrial levels, and to pursue greater efforts to limit the temperature increase to 1.5 degrees Celsius. They also agreed to take steps to deal with the predicted impacts of climate change.

From the viewpoint of financial institutions, the financial risk from climate change will mostly come from three major sources:

·        Physical risk: the risk from physical effects of increased frequency and severity of weather events such as hurricanes. floods, droughts, heat waves and a rise in sea levels.

·        Transition Risk: As economies move away from fossil fuels to greener options, there will be disruptions to the fossil fuel industry and supply chains as markets, policies and consumer preferences shift.

·        Reputational Risk: As consumer sentiments continue to change, firms that fund fossil fuel projects or do not take steps to reduce their own carbon footprints will see an increase in negative sentiments to their reputation.

At the moment there are initiatives driven by both regulators as well as industry groups to encourage disclosure, propose regulatory expectations, as well as establishing consistent frameworks for managing this emerging risk. The Task Force on Climate-Related Financial Disclosures , the PRA and Network for Greening the Financial System are particularly active in this sphere. In addition, almost all businesses are taking some steps to reduce their carbon footprints – including reducing their use of things such as plastics, retro fitting offices to be more energy efficient and funding initiatives that promote such practices.

So what does all this mean to credit scoring?

While this is an emerging discipline, and most organisations at present are looking at it from a very high level – including issues like governance, frameworks and disclosure, there will certainly be a downstream impact on credit scoring and lending. Some regulators such as the EBA are already encouraging lenders to consider climate change factors in lending, but a more pervasive global approach will probably happen in the mid to long term as recommendations from groups such as the NGFS and TCFD are more widely accepted and implemented.

Physical risk

There are maps available displaying severity of impacts from physical risks such as hurricanes across geographies. This can be translated into possible negative impacts on assets such as principal residences, investment properties, commercial buildings and production facilities. If current trajectories are correct, these properties will be facing additional risks from physical damage due to events such as floods, hurricanes and droughts. In lending terms, it means increased risk of defaults (rising Probability of Defaults), lowered property values (increased Loss Given Default), loss of income (decreased debt service ratios), and downstream negative effects on credit bureau histories.

The mortgage market, in particular, is susceptible to this risk – and there are already banks and investors taking this into account for lending. Lenders may want to re-evaluate property values and use forward looking scenario analysis to predict price drops in affected areas.

Transition Risk

Transition risks will be highly dependent on public policies, consumer preferences as well as regulations concerning the fossil fuel industry. It will also be mitigated to some extent by similar policies such as tax breaks and investments in alternative energy sources. In general, we should expect decreasing investments in the fossil fuel industries – some estimates put this at over $1.3 Trillion. This would mean presumably some job losses and decreases in the values of assets for those involved directly and indirectly with the industry. The assets include for example oil fields as well as suppliers who provide services and chemicals, to related infrastructure such as rail tracks built to transport oil. For lenders, this would mean negative impacts for retail (lower income, lower property values), SME and corporate loans (lower profitability, lower asset values).

As an example of such risks, there are already lenders who have publicly announced that they will no longer finance coal projects, will not hold bonds from issuers with large climate footprint and stop funding any fossil fuel energy projects.

Note that in some sectors and regions the effects will be positive – for example, those involved in clean energy businesses and agriculture in areas where higher temperatures may produce higher yields.

What Comes Next ?

There is no doubt lenders are reacting to this risk. Most banks are at the stage of designing frameworks, figuring out their exposures to climate change risk and finding ways to comply with some of the disclosure requirements suggested by regulators. Some of these are driven by recommendations from the TCFD, country regulators in places like the UK and Canada, as well as the NGFS. None that I know of is integrating analytics into lending at the retail level as yet.

It is anticipated that once frameworks are in place, and more regulatory guidance is available, the next phase will be design of analytical methodologies to incorporate these risks in banks. Those of us in the credit scoring field need to prepare for this, and recognize some challenges. These include things such as:

·        Limited historical data: credit risk models are built using plenty of historical data on defaults. The scenarios being anticipated for climate change have little or no historical data. As such, either forward looking scenario analysis or methodologies dealing with low sample sizes will need to be deployed.

·        Long prediction horizons: most credit risk models are built to predict over fairly short horizons. The impact of climate change may take decades. Predictions from any model will be very sensitive to small changes inputs and assumptions.

·        Causality: while credit models can draw correlation and assign causality from demographic and bureau data to specific defaults, it is much harder to do that with climate change. Defaults in one location may not be caused by local factors (other than location). I would imagine, climate change factors would be included in future credit models in the same way that we consider macro economic variables today.

There are of course a myriad of issues that will impact how banks can react to this. The effects of both transition and physical risks are regional – in countries that have policies against ‘redlining’, banks may face limitations in terms of allowable lending strategy. In addition, re-training, subsidies and other government actions may dampen the impacts of climate change risk.

Nthupang Magolego

Executive Senior Legal Advisor at the National Credit Regulator.

1 年
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张岳令

首席风险官

4 年

Hi,I am translating your book, how translate (odds) into Chinese?

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Vinod Kumar J S

Model Risk Management | Financial Crime Compliance | Credit Risk | Financial Management | Data Analytics | Strategy

5 年

Thanks Naeem, great and thought provoking article. One more aspect with a longer term impact could be possible migration (or shift) of population across geographies due to varied changes to temperature and rising sea level threatening many cities.?

Giada Scalpelli

?? Helping banking customers navigating the challenges of risk management ?? Senior Customer Advisor Risk Management ?? SAS

5 年

Great article, Naeem! A down-to-earth analysis that was missing: this is a trending topic that needs a deeper understanding to analyze the real impacts on financial institutions and risk management.

Raymond Anderson

Credit scoring specialist and author - Rayan Risk Analytics

5 年

Thanks Naeem, good article that got me going. A significant shortcoming of credit-risk models is that most are developed using data from limited timeframes (five years is a stretch) for groups in particular circumstances; hence, they work well as long as those circumstances do not change significantly. Where once glacial, the last centuries have seen quickening rates of change, especially in technology, but also in economics, politics, social issues, and the planet around us. Changes in technology undid the Luddites and the best buggy-whip makers, and continue to disrupt into the fourth industrial revolution. Changes in climate affect property and agriculture through increasing temperatures and volatile weather patterns. Exhaustion of natural resources, or changing preferences, affect employment in communities based on extractive industries. And so on… And in all cases, some win and some lose, albeit for climate change losers will dominate. Siddiqi [2019], in a brief article on credit scoring and climate change, highlighted the shortcomings when prediction horizons are long, data is short, assumptions are many, inputs are few, and correlations/causality are difficult to discern. Judgmental and other overlays can aid, along with changes to strategy should corrective action be required. Climate change is not a new phenomenon, it is ongoing. What differs is the pace of change, and cause. The Akkadian empire of 4,000 years ago collapsed as the region became increasingly drier, as it is to this day. During Roman times there were reindeer in north German forests, and the Rhine and other rivers’ winter freeze was sufficient for them to carry heavy wagons. Some pre-industrial climate change can be ascribed to human agriculture, but other forces played a greater role. The same cannot be said today with our massive release of pre-historic carbon and felling of massive swaths of carbon-absorbing greenery. ?

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