In this second article about actuarial models, I focus on the importance of using well-defined design principles and guidelines that will ensure the effective and sustainable implementation of effective actuarial models.
The four vital principles of actuarial model design
By recognising the elements that contribute to a well-designed actuarial model and implementing these principles, insurance companies will quickly begin to benefit from performance improvement not just in the actuarial function but across other parts of their operations. There are four critical areas that you need to focus on:
Consistency
Well-defined design principles and guidelines ensure that all models within an insurance company are developed using the same best practices and approaches. This consistency ensures that the models are easily understandable and interpretable by all internal actuaries and other stakeholders, and that they function in a coherent and coordinated manner.
For example, consistency between pricing and valuation models is essential for the following key reasons:
Fair Value Reporting: Consistency ensures that insurance liabilities are reported at their fair value in financial statements.
Profitability Assessment: Consistency ensures that the premiums charged align with the expected value of insurance liabilities, helping the company maintain sustainable and profitable operations.
Product Development and Innovation: Consistent actuarial models facilitate product development and innovation. By having a clear understanding of the relationship between policy pricing and the resulting liabilities, insurance companies can design new products that are both competitive in the market and sustainable from a financial perspective.
Risk Mitigation: Consistency between actuarial models reduces the potential for conflicting conclusions. If valuation and pricing models provide different estimates of liabilities or risk exposure, it may lead to uncertainty and increase the risk of mismanagement.
Accuracy
By incorporating best practices and consistent approaches, the actuarial models developed by an insurance company become more accurate, reliable and trustworthy. This is critical for those models being used to make decisions that have real-world consequences, such as underwriting policies, setting premiums and managing risk. But there needs to be a balance struck between accuracy and efficiency i.e. complex models tend to offer higher accuracy, but they often require more computational resources and time to run. It’s essential to assess whether the increased accuracy justifies the additional computational cost and potential delays in decision-making. Sometimes, a simpler model that provides reasonably accurate results may be more practical and sufficient for the specific use case.
Efficiency
Having a set of well-defined design principles and guidelines allows for greater efficiency in the development and implementation of models. It ensures that time and resources are not wasted on unnecessary experimentation or reinventing the wheel, and that models are developed in a streamlined and consistent manner. Model performance is influenced not only by the complexity of the model but also by the design and implementation of the model itself. And even with complex models, a well-defined and efficiently designed model can significantly improve performance and computational speed.
Regulatory compliance
Insurance companies are subject to regulatory requirements and guidelines that govern the development and use of models. Having well-defined design principles and guidelines that incorporate best practices ensures that the models are developed and used in compliance with these regulations, reducing the risk of non-compliance and the associated penalties.
To sum up, the adoption of well-defined design principles and guidelines for implementing actuarial models is not just about following best practice for the sake of it; it is a strategic imperative for insurance companies seeking to thrive in a rapidly evolving industry. By prioritising consistency, accuracy, efficiency and regulatory compliance, insurers can bolster their decision-making capabilities, gain a competitive edge and navigate the challenges of the future with confidence.
If you need support with building and designing actuarial models that not only follow best practice but also align with your specific strategic plans get in touch with our team.
