Basket Creation System for Non-Transparent ETFs
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Solution Overview
Problem
Conventional Order Management Systems (OMSs) fail to effectively manage non-transparent exchange-traded funds (ETFs) as they risk disclosing the fund manager's strategies and are inadequate for active ETFs, leading to potential front running and imprecise portfolio management.
Innovation Solution
A system and method that models and generates basket data for non-transparent ETFs, securely communicating with specialized market trading systems, electronically validating and transforming portfolio data, and applying rules to maintain confidentiality and accuracy, integrating with existing OMSs and infrastructure to automate the creation and redemption of ETF shares.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional OMSs are used to manage non-transparent ETFs, then operational simplicity is maintained, but fund manager strategies are disclosed and front running occurs
Solution Approach 1:
The system segments the ETF management process into distinct components: a public transparent ETF component and a private non-transparent component. The basket generation system separates public holdings data from private strategy data, allowing the OMS to handle only aggregated public information while protecting sensitive portfolio details through automated basket construction that obscures individual security positions.
Solution Approach 2:
The patent introduces an intermediary basket generation system that acts as a mediator between the fund manager's private portfolio and the public market. This system translates private portfolio decisions into public basket compositions without revealing the underlying strategy, serving as a buffer that protects confidential information while enabling efficient ETF creation and redemption processes.
2Productivity
If basket data is publicly disclosed for non-transparent ETFs, then ETF creation and redemption efficiency is improved, but front running of the fund manager's strategies occurs
Solution Approach 1:
The system performs preliminary basket generation and validation before public disclosure. The basket generation system pre-calculates optimal basket compositions based on current portfolio holdings and market conditions, then validates these baskets against confidentiality criteria before making them available for ETF creation and redemption. This preliminary processing ensures efficiency while preventing front running by controlling what information is disclosed and when.
Solution Approach 2:
The patent implements feedback mechanisms that monitor basket composition and trading activity. The system continuously compares public basket data against private portfolio holdings, detecting potential front running attempts and adjusting basket generation parameters accordingly. This feedback loop maintains trading efficiency while protecting against harmful practices by dynamically responding to market conditions and suspicious activities.
3Measurement precision
If detailed portfolio data is communicated to trading systems, then portfolio management accuracy is improved, but confidentiality of holdings is compromised
Solution Approach 1:
The system applies local quality by providing different levels of data detail to different system components. The basket generation system receives full detailed portfolio data for accurate basket construction, but communicates only aggregated, anonymized basket compositions to public trading systems. This localized data quality approach ensures high portfolio management accuracy where needed while maintaining confidentiality where required.
Solution Approach 2:
The patent transforms portfolio data parameters during the basket generation process. It converts detailed security-level holding data into aggregated basket-level compositions, changing the granularity and nature of the data. This parameter transformation maintains the mathematical accuracy needed for proper portfolio management while eliminating the confidential information that would enable front running.
Data Source
AI summary
An apparatus and method is provided for modeling and generating basket data for non-transparent exchange-traded funds (ETFs) for share creation and redemption. Portfolio data, including start of day positions for the ETF and trading information for trades executed by a fund management computer (FMC) during the trading day, is transmitted from the FMC to a basket modeling application computer (BMA). The BMA receives, stores and electronically time-stamps the portfolio data in the native FMC format, and captures, decrypts, stores, and time-stamps encrypted T−1 basket data and creation order data from a primary market trading computer (PMTC) in native PMTC format, this data including creation orders executed by the PMTC during the trading day. The BMA technically validates and transforms the data to form a composite image of the ETF portfolio, applies a set of rules to generate today's basket data (T basket), and disseminates the T basket.