Dividend-Weighted Financial Instrument Selection System
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Solution Overview
Problem
Existing methods for creating and tracking financial instruments do not adequately account for dividend payments, leading to missed opportunities for maximizing profits and understanding the value of dividend-paying securities, particularly in international markets.
Innovation Solution
A financial instrument and method that selects and weights securities based on dividend yield and other fundamental data, such as market capitalization, to create indices that reflect the relative importance of dividend-paying securities, allowing for the creation of investment vehicles with potentially superior returns and lower volatility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If financial instruments are created using traditional market-capitalization weighting methods, then the instruments track overall market performance, but they fail to capture the value and benefits of dividend-paying securities
Solution Approach 1:
The patent changes the weighting parameter from market capitalization to dividend yield and other fundamental data metrics. This allows the financial instrument to accurately measure and reflect the value of dividend-paying securities by using dividend-related parameters as the basis for weighting components, thereby resolving the contradiction between measurement precision for dividend value and the traditional market-cap approach.
2Productivity
If dividend payments are not taken into account in financial instrument creation, then the instrument follows established benchmark methods, but opportunities for maximizing profits from dividend-paying securities are missed
Solution Approach 1:
The patent applies preliminary action by selecting and weighting securities based on dividend yield and fundamental data before the financial instrument is established. This proactive approach ensures that dividend-paying securities are identified and weighted appropriately from the outset, capturing profit opportunities that would otherwise be missed by traditional methods that ignore dividend information.
Solution Approach 2:
The patent introduces fundamental data including dividend yield as an intermediary metric that bridges the gap between raw security data and financial instrument performance. This intermediary measurement system allows dividend value information to be systematically incorporated into the weighting mechanism, preventing loss of important dividend-related information while enhancing productivity through better-informed investment decisions.
3Reliability
If securities are weighted by market capitalization, then large companies dominate the index, but the relative value and contribution of dividend-paying securities of various sizes are not properly reflected
Solution Approach 1:
The patent applies local quality by using different selection and weighting criteria for different securities based on their dividend characteristics. Instead of a uniform market-capitalization approach, the system weights securities according to their dividend yield and fundamental data, allowing each security to be evaluated on its own merits regarding dividend contribution. This resolves the contradiction by making the weighting system reliable for representing dividend value while maintaining operational simplicity through clear fundamental data thresholds.
Data Source
AI summary
A financial instrument formed by selecting and weighting securities according to selection and weighting criteria. A primary index may be constructed from a universe of securities meeting at least one selection criterion, and may optionally be weighted according to a selection criterion. Derivative indices may be constructed from the primary index. The derivative indices may be further screened and/or weighted according to the same or different selection criteria. Derivative indices may also be created from other derivative indices, again based on selection and/or weighting criteria. The primary index and any derivative indices may be ranked according to one or more selection criteria, either before or after derivative indices are constructed.