Dynamic Portfolio Construction for Individual Goal Accommodation
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Solution Overview
Problem
Current financial planning systems struggle to adapt to individual investors' changing goals and risks over time, as they are typically based on standardized risk-return models that do not account for unique personal objectives and tolerance levels.
Innovation Solution
A computer-based system that dynamically constructs and maintains investment portfolios by using a software application linked to financial advisors or investors, which adjusts asset allocations based on changing market conditions and investor goals, utilizing a database of financial assets, constraints, and historical data to optimize the probability of meeting target balances while minimizing risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standardized risk-return models are used for portfolio construction, then mathematical modeling and standardization are achieved, but individual investor goals and changing priorities cannot be accommodated
Solution Approach 1:
The patent implements dynamic portfolio construction that continuously adapts to changing investor goals and market conditions. The system transitions from static standardized models to dynamic optimization that re-evaluates portfolio allocations based on updated investor preferences, time horizons, and risk tolerances, allowing the portfolio to evolve over time rather than remaining fixed
Solution Approach 2:
The system changes key portfolio parameters including risk tolerance levels, investment time horizons, and goal priorities based on investor feedback and market conditions. By allowing these parameters to be adjusted and re-optimized, the system accommodates individual investor goals while maintaining mathematical rigor through constrained optimization frameworks
2Ease of operation
If portfolios are statically maintained through periodic rebalancing, then implementation simplicity is achieved, but adaptation to changing market conditions and investor goals is lost
Solution Approach 1:
The patent incorporates continuous feedback loops where investor goals, risk tolerances, and market conditions are regularly reassessed. The system uses this feedback to dynamically adjust portfolio allocations, transitioning from periodic rebalancing to continuous optimization that responds to changing conditions while maintaining operational feasibility through automated decision-making frameworks
Solution Approach 2:
The system implements dynamic portfolio management that continuously adapts to changing market conditions and investor preferences. Rather than static periodic rebalancing, the portfolio is actively optimized in response to real-time data, allowing seamless adaptation while maintaining implementation feasibility through systematic decision rules
3Ease of manufacture
If risk is defined as standard deviation of portfolio, then mathematical modeling is simplified, but individual investor risk perceptions and goal-specific risks are not captured
Solution Approach 1:
The patent applies different risk measurement approaches tailored to specific investor goals and time horizons. Rather than using a single standardized risk metric, the system customizes risk assessment for each investor's unique situation, incorporating goal-specific risk tolerances and time-horizon-adjusted risk measures that accurately reflect individual investor perspectives
Solution Approach 2:
The system dynamically adjusts risk parameters based on investor preferences and market conditions. By allowing risk tolerance, time horizon, and goal priorities to be customized and re-optimized, the system achieves precise individualized risk measurement while maintaining mathematical tractability through constrained optimization frameworks
Data Source
AI summary
A system and method for implementation and maintenance of a dynamic goals-based investment portfolio. The system and method receive information from an investor, related to the individual goals they wish to achieve while avoiding personalized risk, and construct a portfolio to meet these goals. The system then continues to monitor the markets and interact with the investor to continuously adjust the portfolio holdings to maximize the likelihood that the portfolio will meet the investor's individual goals.