Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include simulating the impact of qualitative assumptions on the risk model. Accordingly, the risk model may include a hierarchical tree formed of component qualitative assumption objects and quantitative assumption objects. Quantitative assumption objects include indications of distribution function parameters associated with the assumption object and qualitative assumption objects include an indication of an impact on a parent quantitative assumption. When simulating the risk model, systems and methods may adjust sampled values quantitative assumption object when a child qualitative assumption object is enabled.

Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include simulating the risk model over time. The risk model may include a hierarchical tree formed of component assumption objects associated with distribution functions. The systems and methods may apply a time function to generate time-adjusted values for the component assumption objects corresponding to defined distribution functions. The systems and methods may then combine the time-adjusted values to generate time-adjusted values for parent assumption objects.

Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include identifying sources of uncertainty within the risk model. The risk model may include a hierarchical tree formed of component assumption objects associated with distribution functions. The systems and methods may include calculating an uncertainty contribution for assumption objects included in the risk model by setting the value for a particular assumption object to a constant value and executing an additional simulation of the risk model. The amount by which the uncertainty corresponding to the risk model changes between simulations may correspond to the uncertainty contribution for the particular assumption object.

Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include simulating the risk model over time. The risk model may include a hierarchical tree formed of component assumption objects associated with distribution functions. The systems and methods may apply a time function to generate time-adjusted values for the component assumption objects corresponding to defined distribution functions. The systems and methods may then combine the time-adjusted values to generate time-adjusted values for parent assumption objects.

Abstract: Techniques for a modeling platform associated with simulating risk models. According to certain aspects, systems and methods include simulating the impact of qualitative assumptions on the risk model. Accordingly, the risk model may include a hierarchical tree formed of component qualitative assumption objects and quantitative assumption objects. Quantitative assumption objects include indications of distribution function parameters associated with the assumption object and qualitative assumption objects include an indication of an impact on a parent quantitative assumption. When simulating the risk model, systems and methods may adjust sampled values quantitative assumption object when a child qualitative assumption object is enabled.