JLL helps international bank simplify portfolio valuation and risk assessment
As new climate reporting guidelines take hold, one progressive bank decided to take charge
Spotlight
Value and Risk Advisory
Size
1,000 properties; 300+ data sources
The European Central Bank (ECB) requires companies to report sustainability-related risk factors relating to their operations and real estate portfolios over a three-year cycle. For global companies with extensive real estate holdings, satisfying this requirement is expensive and time consuming.
An international bank with a multi- billion portfolio, soaught a way to streamline, simplify and reduce costs associated with its portfolio valuation and risk assessment process. JLL was the only service providerable to provide a solution for assets located in multiple geographies. JLL’s Risk Analytics technology applications use artificial intelligence and machine learning to provide real-time perspective into a property portfolio’s performance. The international bank was able to leverage data to simplify its portfolio risk assessment, while also helping to guide its future investment strategy.
Meeting rigorous ECB guidelines
The ECB leads the world in climate and sustainability requirements. As part of its goal to reach net-zero carbon emissions, the ECB requires companies to report on performance and risk exposure of asset holdings globally. While official on-site assessments are conducted every three years, companies with extensive real estate holdings typically conduct rolling valuations in manageable segments.
The bank wanted to take a tactical approach to climate risk reporting, and strategically monitor risk and asset value.
This was an ideal opportunity for the bank to derive a single source of truth for transaction, bid and property information across an entire global portfolio.
Harnessing the power of real-time data
JLL Risk Analytics addresses the challenges faced in identifying and monitoring risk within property portfolios. It’s proprietary technology, powered by artificial intelligence and machine learning, provides automated valuation modelling, environmental social governance (ESG) risk metrics, market momentum and liquidity analysis. This comprehensive approach helps assess critical factors such as market performance, pricing and sustainability, enabling clients to quantify the impact of these risks on asset values.
Its suite of Risk Analytics technology applications captures millions of data points from 300+ proprietary owned and third-party data sources and key markets worldwide. This empowers JLL’s global clients to identify and monitor real estate risk, predict value shifts, and capitalise on new investment opportunities.
JLL’s international banking client had several goals in mind when searching for a solution. It wanted to address not only environmental sustainability factors and prepare for EU reporting requirements, but also monitor the risk and value of its assets to support better informed and predictable investment decisions. In this case, the bank c was able to leverage JLL’s applications to identify underperforming assets within the portfolio and address assets of potential concern. The information uncovered through the process allowed the bank to mitigate future and current risk and create a competitive advantage, whilst also meeting the reporting standards set by the ECB.
Valuable, cost-saving insights
The bank was able to leverage the JLL’s applications to meet environmental reporting requirements and fill in gaps between valuations, but it gained even more than simply satisfying regulations. By using real-time analytics and automation, the bank was able to understand the portfolio better and make data-backed investment decisions.
The assessment identified 10% to 15% of the portfolio that required a further review, and as a result, the bank decided not to continue with 2% to 5% of loan refinances within the portfolio. Further, the bank also chose to reduce its exposure in two different commercial real estate sectors. Aa significant win for the bank with reduced risk exposure and improved portfolio performance delivered by the analytic insights provided. In addition, the bank will be able to leverage these updated insights when it conducts a full onsite assessment, providing more predictable investment outcomes for the bank.
By reducing risk exposure, the bank also achieved immediate operational and administrative savings. By using technology, the company saved approximately $100,000 in annual operational costs, the equivalent of a full-time employee. Of course, the assessment also ensured that the bank met climate risk and reporting standards. Overall, the bank pursued a forward-thinking and progressive solution, and it reaped the benefits.
See a brighter way
As climate risk assessments become a standard component of real estate portfolio maintenance, companies are increasingly looking for opportunities to streamline the process and reduce costs. Like this global bank found, data, risk analytics and automation are achieving that goal, providing a faster, more affordable and more accurate opportunity to evaluate an asset.
Now, this JLL client is equipped to see a brighter way forward as it explores expanding the service to its global CRE loan book.