Chris Stanley
Allowance for Loan and Lease Losses (ALLL): Calculate fast, accurate reserves for loan and lease losses with our cloud-based ALLL solution.
Credit Assessment: Automating the process of financial spreading and credit scoring increases loan application volume and helps lenders make better credit decisions.
Credit Decisioning: Our commercial lending solutions are flexible and robust enough to support whatever loan structures, pricing, or conditions you require to reduce risk.
Credit Monitoring: Proactively monitoring the financial health of borrowers and the risk level of your loan portfolio increases the profitability of your lending business.
Current Expected Credit Loss Model (CECL): Moody’s Analytics provides tools for the most crucial aspects of the expected loss impairment model, with robust solutions to aggregate data, calculate expected credit losses, and derive and report provisions.
Portfolio Optimization: Quantify diversification benefits across portfolios and define risk types that inform risk management and active asset allocation decisions.
Valuation : Moody's Analytics insurance valuation solution support valuing liabilities of complex insurance products that contain options and guarantees.
Asset Valuation: Process of determining the fair market or present value of assets using book values.
Credit Correlations: Measurement of whether risky assets are more likely to default together or separately.
Default & Recovery Risk: Risks following a default event where the defaulting entity's contracts cannot be honored.
Economic Forecasts: Forecasts potential economic outcomes on the performance of businesses and investments.
Enterprise Risk: Business strategy to identify, assess, and prepare for any dangers to a firm's operations.
Loss Accounting: CECL: New credit loss accounting standard that replaces the current ALLL accounting standard.
Portfolio Models: Models that enable portfolio managers to assess and optimize portfolio risk.
Risk Integration: Bringing together credit and market risk modeling to better understand asset and liability dynamics over time.