New technology signals a risk revolution as it becomes easier than ever to evaluate catastrophe risk models prior to purchase - helping insurance and reinsurance firms build a stronger business case for model adoption and maximise their business value.
Over the past 30 years, we have seen catastrophe (cat) modelling become one of the largest budget items within the insurance and reinsurance industry. Not only are cat models traditionally costly to license, but there are also significant resource requirements associated with hosting and operating cat models. This, combined with the fact that the industry has until recently lacked a simple option for evaluating models prior to purchase, has made it prohibitively difficult for (re)insurers to build a case internally for changing or adding models. But, as the frequency and severity of natural catastrophe changes, it is more important than ever that firms have a deep understanding of their cat risk.
A significant barrier for (re)insurance firms looking to add or change cat risk models has always been the difficulty associated with quantifying the benefits of doing so. After all, any business case to change or add models must present tangible benefits. However, since cat models, by definition, help companies cope with infrequent events with a large degree of uncertainty, assessing the incremental benefit of adding an extra model (or changing models) can take a significant amount of time and effort.
Adopting new models also requires a high level of confidence in the models prior to adoption. Part of the process of building confidence in a new model will come from understanding the model assumptions and performing model validations. Being able to easily test cat models prior to adoption is a critical step in building this confidence.
The ModEx platform offers model evaluations from a range of vendors, free of charge and without any infrastructure requirements. As a fully-hosted service, clients can access the models they wish to trial via a single web-based user interface. By allowing firms to access multiple models from different vendors and compare the outputs, the ModEx platform is helping firms make more informed decisions about their risk. By doing so, ModEx provides (re)insurers with the tools they need to make a sound business case for new model adoption, based on more accurate cost-benefit analysis.
The ModEx model evaluation system streamlines cat risk modelling in an area that has thus far failed to prioritise the user experience. By enabling firms to trial models prior to purchase, (re)insurers will gain confidence in alternative model vendors, promoting usage of smaller vendor models and encouraging new model development globally.
The ModEx evaluation process follows three simple steps:
Complete the model evaluation agreement
Receive ModEx training
Log in to the web-app and run the model(s) selected for evaluation
Once the evaluation is completed, firms can decide whether or not to license one or multiple models on ModEx. The licensing process is quick and easy, managed under a single contract which covers both the ModEx hosting and the individual cat risk model licenses. Evaluations are offered for free (with agreement from the model provider), ensuring the process can be undertaken at minimal cost.
Discover what models are available for evaluation:
Without hands-on experience of how a new model works, firms will struggle to justify adding or changing cat models.
The benefits of model evaluations to the (re)insurance market are clear:
Quick and efficient access to models via a web-based interface reduces pressure on internal IT resources to provide systems for model evaluation
Standardised financial module provided by Oasis LMF enables (re)insurers to consistently compare loss calculations from different Oasis-based models side-by-side
Comparing model results to other models in the market can help firms ensure they are using the best model for their needs, at the best price point
Better cost-benefit analysis to aid the business case for changing or adding catastrophe models, ultimately improves a firms’ view of risk, enhancing portfolio management and ongoing financial planning