Dynamic Risk Management Glide Path Map for Investment Portfolios
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Investment allocation strategies fail to effectively manage dynamic and multi-faceted risks faced by participants in defined contribution plans, such as inflation, interest rate fluctuations, market volatility, and personal risks like longevity and poor investment decisions, lacking an outcome-focused approach.
Innovation Solution
A system and method that generates a glide path map and risk ratings by identifying market and participant-related risk factors, using a processor to accumulate and process portfolio data, allowing for real-time updates and graphical displays to assess and adjust asset allocation ratios based on these risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional investment allocation strategies focusing on asset classes and risk/return profiles are used, then asset management is simplified, but the ability to address broader participant risks (inflation, interest rates, market volatility, longevity) is insufficient
Solution Approach 1:
The patent segments risk management into distinct modules: a glide path module that generates allocation strategies and a project map module that visualizes them. The system further segments risks into market risks (inflation, interest rates, volatility) and personal risks (longevity, poor decisions), addressing each through specialized processing while maintaining overall strategy coherence.
Solution Approach 2:
The glide path module serves multiple functions: it identifies various risk factors, generates glide path data based on these risks, creates visual project maps, and provides recommendations for asset allocation. This multi-functional approach allows a single system to address diverse participant risks without requiring separate specialized tools for each risk type.
2Speed
If real-time updates of asset allocation ratios are implemented, then responsiveness to changing risk factors improves, but computational resource requirements increase
Solution Approach 1:
The system pre-generates glide path data and project maps based on identified risk factors before they are needed for decision-making. By performing computational work in advance and storing the results, the system can quickly retrieve and display updated allocation ratios when risk factors change, avoiding the need for intensive real-time calculations during critical decision moments.
3Productivity
If a centralized platform for accumulating portfolio data and risk factors is created, then resource efficiency improves, but system complexity increases
Solution Approach 1:
The patent merges the glide path generation module and the project map visualization module into a single integrated system. This centralized architecture allows both modules to access and process the same portfolio data and risk factors from common data sources, eliminating redundant data storage and processing. The unified system improves resource efficiency by sharing computational resources while maintaining the functional distinctions between risk identification and visualization.
Data Source
AI summary
A network interface receives portfolio data related to an investment plan portfolio of a participant. A processor identifies a first plurality of risk factors associated with market conditions, wherein the first plurality of risk factors comprises a future data and risk strength. The processor further identifies a second plurality of risk factors associated with the participant. The processor then generates glide path data based at least partially on the first plurality of risk factors and the second plurality of risk factors. The processor also generates a glide path map based at least partially on the generated glide path data.