Pre-Match Risk Validation in Automated Exchange Systems
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Solution Overview
Problem
Current automated exchange systems fail to effectively validate financial exposure limits in real-time, leading to potential exceeding of risk profiles, which can result in inability to meet regulatory requirements, detrimental contractual actions, and increased client exposure.
Innovation Solution
An automated exchange system that receives order messages with linked risk entities, retrieves and compares maximum risk exposure parameters with aggregated risk values, validating orders before matching to ensure they do not exceed established limits, and rejects orders if limits are breached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If risk validation is performed after order matching, then the system can process orders quickly without pre-validation overhead, but the aggregated risk exposure may exceed maximum risk parameters
Solution Approach 1:
The patent performs risk validation before order matching by calculating the aggregated risk value of the incoming order combined with existing order book orders, and comparing it against maximum risk parameters in advance. This preliminary risk check ensures that only orders satisfying risk constraints are accepted for matching, preventing excessive risk exposure while maintaining processing efficiency through streamlined post-validation.
2Reliability
If pre-match risk validation is implemented, then risk compliance is ensured before orders enter the matching engine, but the validation process adds computational overhead and latency
Solution Approach 1:
The system performs risk validation in advance of matching by computing the aggregated risk value combining the incoming order with current order book positions, and comparing against pre-defined maximum risk parameters. This preliminary check ensures regulatory compliance is met before orders enter the matching engine, preventing rejections later in the process.
3Ease of operation
If post-order risk validation is used, then the system maintains simple order processing flow, but risk entities may experience detrimental contractual actions and inability to meet regulatory requirements
Solution Approach 1:
The patent implements pre-match risk validation that calculates the aggregated risk value of incoming orders combined with existing order book positions, and compares this against maximum risk parameters before the order enters the matching engine. This ensures risk profile adherence is verified in advance, preventing situations where risk entities face contractual breaches or regulatory non-compliance after trading has occurred.
Data Source
AI summary
In an automated exchange, comprising a matching module, a received order is validated for risk purposes before a match process begins. Hereby it is made possible to reduce the total financial exposure by a customer to the automated exchange.