Personalized Financial Advisory System for Target Date Funds
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Solution Overview
Problem
Target Date Funds (TDFs) provide a 'one size fits all' investment management solution, failing to account for individual investor profiles, leading to inaccurate retirement income estimates and risk assessments, and lack personalized guidance, especially for investors with risk tolerance beyond the assumed idealized representative investor.
Innovation Solution
A system and method for personalized financial services that automatically allocate and rebalance reference date dependent investments based on differences between an investor's profile and the representative investor's profile, using Monte-Carlo simulations and portfolio tracking algorithms to provide tailored investment strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If Target Date Funds use a one size fits all investment management solution, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent segments the representative investor profile into multiple distinct factors (age, risk tolerance, time horizon, savings rate, etc.) and creates separate weighting parameters for each factor. This allows the system to divide the general TDF approach into customizable components that can be tailored to individual investors while maintaining the overall automated framework.
Solution Approach 2:
The system dynamically adjusts the weighting of representative investor factors based on the individual investor's actual profile. Instead of a static one-size-fits-all approach, the system continuously adapts the investment strategy by calculating personalized weights for each factor, enabling the same TDF platform to serve multiple investor types effectively.
2Device complexity
If Target Date Funds assume an idealized representative investor, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent changes the parameters of the representative investor model from a single idealized profile to multiple adjustable parameters representing different investor characteristics. By modifying the model to include weighted factors for age, risk tolerance, time horizon, and savings behavior, the system achieves more precise measurements of individual investor needs without substantially increasing system complexity.
3Stability of the object's composition
If Target Date Funds provide static portfolio allocations, then stability is improved, but adaptability deteriorates
Solution Approach 1:
The system implements dynamic portfolio allocations that adjust based on the individual investor's profile and the representative investor factors. Rather than static allocations, the system continuously recalculates optimal portfolio composition by weighing different representative investor characteristics, allowing the portfolio to adapt to changing market conditions and individual investor needs while maintaining stability through systematic rebalancing.
Data Source
AI summary
A system and method is provided to generate personalized savings recommendation and/or needed assignments of reference-date dependent investments. Recommendations and assignments are based on differences between a investor profile and an ideal representative that was used to construct the investments. The system provides a configurable increasing level of financial service based on a Methodology Publisher's configuration for reference date based investments. A forecast simulation system is provided for each investor with various optimizers by the Methodologically Publisher to provide various level of financial services and portfolio recommendations for reference date dependent investments. Reports may be provided to investors illustrating progress toward goals and highlighting distribution of potential risky outcomes. An online inter-active mode may allow an investor to provide further profile information and customize a solution to their needs.