Geographical Insurance Risk Blocking Based on Aggregate Exposure
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Solution Overview
Problem
Current insurance evaluation methods assess risk in isolation, leading to imbalanced portfolios with concentrated high-risk areas, lacking the ability to manage and maintain a balanced risk exposure across geographical areas.
Innovation Solution
An aggregate risk management system that calculates and compares the risk exposure of insurance policies within specific geographical areas against a maximum tolerable threshold, preventing the issuance of new policies if the risk exceeds the threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If insurance policies are evaluated in isolation without reference to existing portfolio, then individual policy risk assessment is simplified and faster, but the portfolio becomes imbalanced with concentrated high-risk areas
Solution Approach 1:
The system implements feedback by continuously monitoring aggregate risk exposure across geographical areas and using this information to control new policy issuance. The risk management system calculates aggregate risk exposure values for different geographical areas, compares them against maximum tolerable thresholds, and provides feedback signals that either permit or block new policy applications based on current portfolio conditions.
Solution Approach 2:
The system performs preliminary action by evaluating the potential impact of new policy requests on aggregate risk exposure before allowing policy issuance. The risk management system calculates what the aggregate risk exposure would be if a new policy were issued, and only permits issuance if this preliminary calculation shows the threshold would not be exceeded.
2Stability of the object's composition
If aggregate risk exposure monitoring is implemented across geographical areas, then portfolio balance is maintained and risk is spread across perils, but the system complexity and computational requirements increase
Solution Approach 1:
The system applies segmentation by dividing the insurance portfolio into discrete geographical areas and calculating aggregate risk exposure separately for each area. This segmentation allows the system to manage complexity through modular processing - each geographical area is evaluated independently against its own maximum tolerable risk exposure threshold, making the overall system more manageable than a monolithic approach.
Solution Approach 2:
The risk management system acts as an intermediary layer between individual policy evaluation and portfolio-level risk control. It receives policy requests, calculates their impact on aggregate risk exposure, and returns approval or block decisions. This intermediary function simplifies the overall system architecture by centralizing the complex risk calculation logic in a dedicated component rather than distributing it across the entire insurance system.
3Reliability
If new policies are blocked in geographical areas with high aggregate risk exposure, then maximum tolerable risk level is maintained, but the insurance company loses potential premium income from those areas
Solution Approach 1:
The system implements dynamics by making policy issuance capability dynamic rather than static. Geographical areas transition between blocked and unblocked states based on real-time aggregate risk exposure conditions. When risk exposure decreases (through policy expirations, cancellations, or non-renewals), areas automatically become unblocked, allowing the insurance company to capture premium income opportunities that arise dynamically rather than permanently losing market access.
Solution Approach 2:
The system changes parameters by adjusting the effective capacity to issue policies in different geographical areas based on risk exposure levels. Rather than using a uniform policy issuance rule across all areas, the system varies the issuance parameter (blocked vs. unblocked) for each geographical area based on its specific aggregate risk exposure relative to its maximum tolerable threshold, optimizing both risk compliance and income potential.
Data Source
AI summary
Systems and methods are provided for evaluating aggregate risk exposure of insurance policies associated with a geographical area. An insurance system may include an aggregate risk management system, which calculates an aggregate risk exposure of insurance policies associated with a geographical area, and compares the aggregate risk exposure with a maximum tolerable risk exposure for the geographical area. Based on the comparison, the aggregate risk management system determines whether more insurance policies may be issued associated with the geographical area. The aggregate risk management system may issue a block at an insurance system to prevent new insurance policies associated with a geographical area based on the aggregate risk exposure for that geographical area.