ARC Analytics
ARC Risk Analytics delivers solutions for effective regulatory compliance and for business intelligence to improve your bottom line. Our solutions are non-invasive, with minimal impact to your existing systems.
Becoming CECL-compliant has never been easier.
The ARC Expected Loss Model (ELM) provides an agile and cost-effective solution.
ARC Expected Loss Model (ELM)
ARC ELM is the first cloud-based, on-demand, CECL compliant, ACL solution. Using advanced machine learning, the ARC ELM combines a complex simultaneous structural equation framework with multiple publicly available datasets enabling us to model all banks individually by their unique loan products.
The ARC ELM delivers powerful, stable results, while giving users control and flexibility to better understand their expected loss.
Detailed model output enables users to benchmark and scale their ACL against any number of selected peer banks, geographical regions, and asset size. The ARC ELM further enables users to challenge their internal ACL, or stress test their current loan portfolio.
Offering multiple economic scenarios, the ARC ELM can create robust, qualitative adjustment factors to support any quantitative ACL process.
What will your CECL losses look like under various scenarios?
ARC can help you extract value from your compliance investment to enhance risk-adjusted returns.
