Reinsurers

CyberCube’s Portfolio Manager (PM) is a scenario-based data-driven model that enables enterprise risk managers in reinsurance organizations to analyze and communicate key messages on cyber exposures to both their senior leadership and their working teams. With PM, you can run probabilistic analyses in a matter of seconds, allowing for quick access to results and the ability to efficiently re-run using different assumptions and parameters.

With PM, you can:

• Quickly access visualizations on exceedance probability metrics to include in management information materials. 
• Dive into more granular details by scenario, risk class, and account level statistics. 
• Educate stakeholders on the exposures, loss drivers and overall portfolio tail risk.

There is a significant disparity in cyber insurance wordings, pricing, and coverage, making it difficult to identify a market consensus among carriers. This increases the work that needs to be done by reinsurance companies when considering their pricing and program structures. How can treaty underwriters confidently make pricing and structural decisions based on risk exposure and company risk tolerances?

CybeCube’s Portfolio Manager is a scenario-based model offering users flexibility in analyzing the relationships between coverage types and cost components. Users can select market defaults to initially identify accumulation and exposure risks within and across insurance portfolios.

The CyberCube interface allows users to adjust the relationship between coverage types and cost components to better reflect the risks that are covered against modeled scenarios. Users can run probabilistic scenarios that highlight specific cost components to allow for sensitivity testing of potential product changes.

CyberCube’s Portfolio Manager enables stress-testing by varying frequency distributions, frequency mode, and severity modes. Scenario specific analytics also include conditional loss distributions allowing users to see the max range as well as interquartile results per scenario. Portfolio Manager allows you to drill down and identify loss drivers and areas of accumulation risk across multiple lines of business.

As a result, risk modelers get the flexibility they need to vary frequency, severity and other assumptions to dynamically stress test model outputs, and portfolio managers get the ability to efficiently stress test their assumptions, often without creating bespoke models from scratch.