Retirement Asset Allocation System with Payout Stream Optimization
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Solution Overview
Problem
Individual investors face challenges in managing retirement assets to achieve a steady or gradually changing income stream, as existing investment products lack comprehensive information on how to match asset allocations with payout objectives, manage market and inflation risk, and link insurance arrangements to extend income streams beyond expected lifetimes, leading to sub-optimal investment choices and increased costs.
Innovation Solution
A system that processes data to create a hypothetical portfolio of fixed and non-fixed income securities matched to a payout stream objective, scales it against available assets and insurance products, and translates it into trading instructions for low-cost execution, providing investors with clear options and outcomes, while integrating investment and insurance rebalancing processors to optimize asset management and insurance arrangements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If investors use self-directed accounts with wide variety of investment options, then investors have flexibility in asset allocation, but investors make sub-optimal choices due to complexity and lack of coordination
Solution Approach 1:
The system transforms the complex multi-parameter investment decision problem into a simplified framework by changing the parameters from individual asset selections to coordinated portfolio configurations that automatically satisfy payout objectives, thereby maintaining versatility while reducing operational complexity
Solution Approach 2:
The system introduces an intermediary computational framework that mediates between the investor's payout objectives and the available investment options, automatically coordinating fixed and non-fixed income securities to achieve optimal asset allocation without requiring investor expertise in complex financial coordination
2Ease of operation
If investors rely on balanced funds or lifecycle funds, then asset allocation is standardized, but costs increase and ability to meet specific payout objectives is limited
Solution Approach 1:
The system extracts the essential function of standardized asset allocation from expensive balanced and lifecycle funds, providing similar coordination benefits through a direct computational approach that eliminates the need for proprietary fund structures and associated fees
Solution Approach 2:
The system creates a simplified copy of the professional portfolio management function, replicating the coordination capabilities of expensive managed funds through automated computational methods that produce comparable payout outcomes at lower cost
3Adaptability or versatility
If investors use lifecycle funds with shifting asset mixes, then basic diversification is achieved, but volatility remains high and payout objectives are not directly addressed
Solution Approach 1:
The system performs preliminary coordination of asset allocations specifically tailored to meet future payout objectives, rather than relying on generic lifecycle fund transitions, thereby proactively addressing payout needs and reducing volatility through targeted portfolio construction
Solution Approach 2:
The system applies different coordination strategies to different portions of the investment horizon, with fixed income securities allocated to match specific payout periods and non-fixed income securities allocated to meet overall return objectives, creating locally optimized portfolio segments that collectively achieve stable payouts
4Adaptability or versatility
If investors manage assets without comprehensive information on insurance arrangements, then investment flexibility is maintained, but ability to extend income streams beyond expected lifetime is reduced
Solution Approach 1:
The system merges investment asset management with insurance product coordination into a unified optimization framework, simultaneously determining optimal allocations to securities and insurance arrangements to achieve both investment flexibility and extended income stream duration through coordinated planning
Data Source
AI summary
A data processing system compiles information about account holders, holdings, and other investment-related information. A hypothetical portfolio is generated to provide for a specified payout stream over a defined period of time, statistically evaluated, and compared by means of scaling to determine the best fit scale of the portfolio to the defined criteria. The composition of this scaled portfolio in comparison with the composition of the available assets defines a series of trades. The composition of the level of payout that can be expected to be supported by the new composition of available assets defines a series of insurance trades. Insurance providers can impose limitations and requirements on the assets managed by limiting or stipulating certain settings that a given account can be allowed to have.