Estimates the likelihood of credit yield based on scenario modeling, utilizing both realistic and optimistic predictions. The accuracy of these estimates is improved through remote sensing, up-to-date data, and in-depth research.
Utilizes proprietary climate models to estimate the probability of climate-related events affecting project outcomes.
Assesses risks at the national/jurisdiction and project levels using pre-set indicators to gauge the strength of legal and policy environments.
Estimates vintage-specific financial risk using complete data (holistic financial models) or limited data (break-even year and yield models) methods, depending on data availability.
Analyzes the strength of project developers using standard indicators, such as developer experience, project team strength, and project network strength.