MIAC's CECL software solutions provide financial institutions with an automated process for determining expected credit losses and satisfying GAAP/regulatory requirements. These solutions leverage industry-standard models, including behavioral models and macro factor forecasts, to project CECL outcomes. The powerful analytical tools perform CECL forecasting of the loss allowance for all types of financial assets, segmented into cohorts with similar attributes. The software supports various modeling methodologies such as Migration Analysis, Vintage Analysis, POD/LGD, and Loss-Rate history. It also includes features for model validation with significance tables and backtesting results, as well as stress testing to understand portfolio loss behavior under changing economic conditions. MIAC's toolkit can deploy regulator-approved CECL modeling solutions, encompassing both cash flow-based and non-cash flow-based methodologies. The company also offers custom model development tailored to specific portfolios and local circumstances, along with documentation for macro factor scenario creation, model validation, and CECL methods comparison. The tools allow for the setup and comparison of different CECL methods, with models offering similar primary displays for simplicity.

Features & Benefits

• Automated CECL Forecasting: Determines expected credit losses and ensures GAAP/regulatory compliance.
• Portfolio Segmentation: Segments loan, lease, and debt portfolios into identifiable portions with similar characteristics.
• Comprehensive Modeling: Supports various methodologies including Migration Analysis, Vintage Analysis, POD/LGD, and Loss-Rate history.
• Stress Testing & Loss Scenarios: Analyzes portfolio loss behavior under economic changes and allows comparison of CECL scenarios.
• Model Validation & Customization: Includes validation tools and offers custom model development for specific portfolios.