While financial institutions are still in the early phases of current expected credit losses (CECL) planning, implementation and monitoring, others have already selected and simulated their model or model software and are ready for the next phase of the process: model validation.
It’s common for a bank of any size to have both commercial real estate (CRE) loans and construction and industrial (C&I) loans on its balance sheet. Another commonality: most small, midsize and large banks currently don’t have sufficient data to conduct an estimated loss analysis on these assets for the new Current Expected Credit Loss (CECL) standard, which goes into effect for publicly owned institutions in 2020.
The rush to collect more data is becoming a priority for many organizations that believe that by collecting more relevant data, they will have an information advantage over competitors. There is no doubt that the data opportunity is unprecedented and may even represent the biggest driver of business growth and transformation across a wide range of industries, influencing business models, products, infrastructure, marketing effectiveness, and even altering how we think about currency. In the financial services and real estate finance industries, data provides information about everything from borrower stability and product cross-sell opportunities to portfolio and asset value.