
CECL
Trusted CECL Solution
MIAC’s CECL software solution provides your financial institution a reliable, automated process for determining your expected losses and satisfying GAAP/regulatory requirements. MIAC’s modeled estimates of future credit losses and forecasts are relied upon throughout our industry, the accounting profession, and across multiple government agencies.
Transitioning to CECL
MIAC employs industry best practices for model development and CECL, which have been validated and chosen by leading participants including lenders, banks, accountants, and regulatory bodies. Using macro factor forecast scenarios and MIAC’s family of behavioral models, CORE™, the most accurate and defensible CECL outcomes are projected. MIAC Analytics Vision™/CORE™ can also be used for ALM and DFAST/CCAR to bring consistency across the enterprise.
MIAC’s powerful analytical tools allow your institution to perform CECL forecasting of the loss allowance for all types of financial assets, segmented into cohorts with similar attributes.
Modeling for Expected Losses
MIAC has been modeling expected credit losses for loan valuations since our formation. MIAC can model all loan types and has supporting databases. Our toolkit of software solutions can be used to deploy ANY of the regulator-approved CECL modeling solutions.
These alternatives encompass both cash flows based and non-cash flows based regulator-sanctioned methodologies.
Portfolio-Specific Models
MIAC’s behavioral modeling team can create custom models tailored to your specific portfolios and local circumstances.
MIAC can quickly implement any of these regulator-sanctioned tools and provide documentation on:
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Macro factor scenarios creation
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Model validation
CECL Methods Comparison
MIAC’s tools allow for the setup and comparison of different CECL methods quickly and easily.
The models menu allows you to select a modeling method, populate the needed data either by a paste-in, manually, or extracted from loaded data.
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All models have similar primary displays for simplicity
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Input or data summary information above