Model variables are fundamental to financial cash flow models, shaping how calculations unfold over time. In this blog post, we will explore different types of model variables and demonstrate how to create them using the cashflower package.
Understanding how to define and use model variables effectively is crucial for …
When working with actuarial cash flow models, runtime is a critical factor. With tight reporting deadlines, actuaries need results as quickly as possible without sacrificing accuracy. The speed of a model can significantly impact decision-making, especially when running multiple scenarios or handling large datasets.
In this post, we will explore …
Actuarial cash flow models predict future financial obligations, helping insurers assess risks and make informed decisions. One of the important aspects of building such models is determining the projection horizon, which defines how far into the future calculations should extend.
Choosing the right projection horizon involves balancing precision and …
Model points are essential inputs in an actuarial cash flow model. They represent individual objects - such as insurance policies or financial assets - for which cash flows are projected. Understanding model points is crucial for structuring actuarial models efficiently.
In this post, we will explain what model points are, …
With actuarial models, we try to predict the future by projecting cash flows over time. These models place results on a timeline with specific future dates, helping actuaries assess financial outcomes. Understanding how time is structured in cash flow models is important, as it …