Hybrid Annuity System Dynamic Crediting and Segmented Fees
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Solution Overview
Problem
Current annuity products in the life insurance industry are inflexible, expensive, opaque, and limited in upside potential, failing to provide policyholders with transparent and customizable risk management options that evolve with their changing needs.
Innovation Solution
A hybrid annuity system that integrates machine learning to offer a range of index-based investment strategies with lifecycle risk management, allowing policyholders to select and adjust their risk levels and fee structures dynamically, providing transparent pricing and optimized product recommendations based on individual needs and market conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Fixed Index Annuity credited rates are based on one-year market index changes with caps, then insurance companies can manage risk, but policyholders experience limited upside potential and de minimis market participation
Solution Approach 1:
The patent implements dynamic crediting mechanisms that adjust participation rates, caps, and floors based on market conditions and policyholder choices. The system allows policyholders to select from multiple crediting strategies with varying risk profiles, enabling the product to adapt between conservative and aggressive positioning rather than using fixed static parameters.
Solution Approach 2:
The invention changes key parameters including participation rates, caps, and floors to optimize returns under different market scenarios. The system dynamically adjusts these parameters based on market index performance, allowing policyholders to capture meaningful market upside while maintaining risk management through adjustable parameter sets.
2Reliability
If Fixed Guaranteed Annuity offers guaranteed fixed rate of return, then policyholders have security, but there is no upside or equity participation potential
Solution Approach 1:
The patent creates a multi-functional annuity product that combines features of both fixed guaranteed and index-linked products. Policyholders can access guaranteed minimum returns while simultaneously having the option to participate in market upside through index crediting strategies, making the product universally applicable to both conservative and growth-oriented investors.
Solution Approach 2:
The system allows dynamic switching between guaranteed fixed rate modes and index-participation modes. Policyholders can adjust their exposure to equity markets over time, enabling the product to evolve from purely protective to growth-oriented as needed, rather than being locked into a single static strategy.
3Adaptability or versatility
If Variable Annuity allows policyholders to take on additional risk for additional return potential, then upside potential increases, but fee structures become confusing and opaque
Solution Approach 1:
The patent segments the annuity product into distinct modular components with clearly defined fee structures. Each crediting strategy, risk management feature, and investment option has its own transparently disclosed fees, allowing policyholders to understand exactly what they are paying for each specific feature rather than buried in complex aggregated fee schedules.
Solution Approach 2:
The system uses visual indicators and clear labeling to differentiate between various fee types and their associated services. By making fee information visually distinct and easily distinguishable, the patent helps policyholders understand the cost structure across different risk levels and product features.
4Reliability
If annuity products have rigid risk management features, then policyholders receive protection, but the features cannot be customized to suit individual objectives
Solution Approach 1:
The patent divides risk management into separate selectable modules that policyholders can configure independently. Features such as guaranteed minimum withdrawal benefits, guaranteed minimum accumulation benefits, and market participation options are segmented into discrete choices that can be mixed and matched to create customized risk profiles.
Solution Approach 2:
The system enables policyholders to dynamically adjust their risk management preferences over time. Risk protection levels can be increased or decreased based on changing life circumstances, market conditions, or investment objectives, allowing the product to evolve with the policyholder's needs rather than being locked into static risk parameters.
5Reliability
If insurance companies engage in costly annual hedging for FIA products, then they can manage market risk, but accounting rules create income statement volatility and surplus volatility
Solution Approach 1:
The patent implements parameter changes in crediting strategies that reduce the need for expensive annual hedging. By using participation rates, caps, and floors that are more closely aligned with actual market performance rather than overly conservative fixed structures, the insurance company can manage market risk more efficiently and reduce accounting volatility.
Data Source
AI summary
A server computing device generates an input data set by determining a set of user information, a set of market index information, and available annuity products. A machine learning processor executes a price optimization module to traverse a computer-generated annuity matching model and select a subset of the available annuity products that are associated with product characteristics that match user objectives and generate annuity product recommendations for the user. The processor executes a market simulation module to traverse a computer-generated annuity perfor-mance prediction model using the annuity product recom-mendations and predictions of market performance to gen-erate simulated outcomes for each of the annuity products. A client device generates a graphical user interface for display to the user via a display device, the graphical user interface including visual representations of each of: the annuity product recommendations and the simulated out-comes.