Credit Assessment Scorecards
With credit markets constantly evolving, how do you effectively manage risk?
S&P Global Market Intelligence’s Credit Assessment Scorecards provide credit and risk management professionals with the essential tool.
Gain confidence in your decision-making and the reliability of your company’s internal risk rating systems with broad sector and geographic coverage. Access 30+ Scorecards for all major asset classes, governments, real estate, and project finance. Rely on leading benchmarks, including 90+ Industry and Country Risk scores.
Follow a roadmap to consistently assess creditworthiness, focusing on the key risk factors most predictive of default risk. Scorecards’ standardized structure allow for replicability year-to-year, analyst-to-analyst, and numerical outputs are broadly aligned with S&P Global Market Intelligence’s credit model scores, supported by historical default data dating back to 1981, and can be adapted to your own internal scale.
Make analysis easy, fast, and convenient. Key features include the ability to automate the spreading of financial ratio data using the Excel Add-in, transparent and in-depth model development and maintenance documentation to help meet regulatory requirements, seamless annual updates, the ability to deploy quickly, and extensive training for each Scorecard we offer.
Essential Solutions for IFRS 9 and CECL
Our suite of Scorecards and credit-related solutions can help institutions comply with both IFRS 9 and CECL by providing access to historic credit ratings, default and loss data, credit risk, and loss assessment models. Scorecards provide an impairment calculation engine which incorporates macroeconomic conditions and market information to produce 1-year and lifetime calculations.
Assess credit risk with confidence.
Assess credit risk with consistency.
Assess credit risk with convenience.
We strive to provide service you can rely on.
Our modeling and integration team is available to help enhance your existing internal processes and scoring models and explain the methodology of our calculations.