Financial Reconciliation Matching Outstanding Trade Orders
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Solution Overview
Problem
Financial institutions face challenges in efficiently and accurately reconciling financial records across multiple entities, leading to costly and error-prone processes due to manual comparison and correction of differences in securities holdings and transactions.
Innovation Solution
A system and method for reconciling financial records that allows users to define rules for categorizing differences, automatically correct and post transactions, accept custodian values directly, match outstanding trade orders, compare backdated transactions, and manage unsettled positions, thereby streamlining the reconciliation process and reducing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual comparison and correction of financial records is performed, then accuracy can be maintained through human judgment, but the process becomes costly and error-prone due to manual intervention
Solution Approach 1:
The system enables automatic self-reconciliation by matching transactions between custodian and shadow systems without human intervention. The automated matching engine compares transaction data, identifies breaks automatically, and performs corrections based on predefined rules, allowing the system to serve itself rather than requiring manual processing.
Solution Approach 2:
The patent replaces the mechanical manual process of comparison and correction with an automated computer-based system. The matching engine uses algorithmic logic to compare transactions, identify discrepancies, and apply corrections automatically, substituting human mechanical operations with automated computational processes.
2Measurement precision
If transaction reconciliation is performed manually, then comprehensive comparison can be achieved, but the process becomes too costly and time-consuming
Solution Approach 1:
The system performs automated transaction reconciliation by having the computer system independently compare custodian transactions with shadow system transactions. The matching engine automatically processes all transactions without requiring human time investment, achieving both completeness and efficiency.
Solution Approach 2:
The system changes the parameter of processing speed from manual to automated, enabling rapid comparison of large volumes of transactions. By implementing automated matching algorithms, the system can process transactions in seconds rather than hours, maintaining completeness while dramatically reducing time loss.
3Measurement precision
If all transaction differences are manually reviewed, then accuracy can be ensured, but resource consumption increases significantly
Solution Approach 1:
The automated matching engine independently identifies and categorizes all transaction breaks without requiring human reviewers. The system self-manages the entire reconciliation process, from data comparison to break identification to correction, eliminating the need for human resource investment in manual review.
Solution Approach 2:
The patent substitutes human review mechanics with automated computational analysis. The matching engine uses programmed logic to accurately identify all breaks, replacing the need for human reviewers and significantly reducing quantity of human resources required while maintaining or improving accuracy.
4Quantity of substance
If position reconciliation only is performed, then resource usage is reduced, but the completeness of reconciliation is compromised
Solution Approach 1:
The system implements a tiered approach where essential position reconciliation is performed to ensure basic accuracy, while optional transaction reconciliation can be added for complete coverage. This allows organizations to perform partial reconciliation when resources are constrained, or excessive (complete) reconciliation when full accuracy is required.
Solution Approach 2:
The system allows dynamic adjustment of reconciliation scope as a configurable parameter. Organizations can change the parameter from position-only reconciliation to full transaction reconciliation based on resource availability and accuracy requirements, enabling flexible resource usage while maintaining the option for complete reconciliation.
Data Source
AI summary
A system and method for financial account reconciliation of a portfolio account system includes, for investments that are not reported as trades once an order to purchase has been placed, using a computer to electrically match investments that are not reported as trades to unmatched transactions of the portfolio account system. In this manner investments that are not reported as trades once an order to purchase has been placed do not create breaks of the portfolio account system.