Dynamic Credit Matrix for Real-Time Risk Evaluation

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Solution Overview

Problem

Small financial institutions lack the capacity to develop in-house credit evaluation departments, and even large institutions face inefficiencies in the credit evaluation process, as prior art systems require significant time and effort to populate credit modules with counterparty information, offering limited flexibility for traders to set credit risks on an as-needed basis.

Innovation Solution

The system facilitates trades using pre-populated or dynamically updated credit matrices, where intermediate nodes provide credit profiles to a master node, allowing traders to set credit statuses for counterparties, enabling 'Always Accept,' 'Always Reject,' 'Reject for Day,' or 'Check' options, and updating the matrix based on trade outcomes, thus simplifying the population of credit information during normal trading.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If credit modules are pre-populated with counterparty information before trading begins, then credit risk evaluation capability is improved, but significant time and effort are required to populate the credit module, reducing productivity

Engineering Contradiction:

Improvecredit risk evaluation capabilityVSAvoidtime and effort to populate credit module

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by automatically generating initial credit ratings for counterparties using algorithms that analyze publicly available financial data, news articles, and other sources before trading begins. This preliminary credit information is stored in the credit module, enabling immediate credit risk evaluation without requiring manual population of counterparty data.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The credit module serves itself by automatically updating credit ratings and counterparty information through continuous monitoring of financial data sources, news feeds, and market conditions. The system self-maintains the credit database without requiring manual intervention from credit officers to populate or update counterparty information, thereby improving both reliability and productivity.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If proprietary credit evaluation algorithms are used by large institutions, then credit risk assessment accuracy is improved, but flexibility for traders to set credit risk on an as-needed basis is reduced

Engineering Contradiction:

Improvecredit risk assessment accuracyVSAvoidflexibility for traders to set credit risk

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system implements dynamic credit ratings that automatically adjust in real-time based on changing market conditions, news events, and financial data. Credit ratings are not static but continuously updated through algorithmic analysis, allowing the system to maintain high measurement precision while adapting to current market conditions. Traders can access these dynamic ratings and make informed decisions without being constrained by rigid, pre-set credit limits.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where trader decisions and market outcomes continuously inform and refine the credit evaluation algorithms. Traders can provide feedback on credit decisions, and the system learns from actual trade outcomes and market performance, improving assessment accuracy over time while maintaining flexibility for individual trading decisions.

Inventive Principle:

Principle #23Feedback

3Reliability

If credit evaluation departments are established to evaluate counterparty credit risk, then credit risk management capability is improved, but the complexity and resource requirements of the system increase

Engineering Contradiction:

Improvecredit risk management capabilityVSAvoidsystem complexity and resource requirements

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces the mechanical system of manual credit evaluation by human analysts with automated electronic algorithms that continuously assess counterparty credit risk. Computer-based systems analyze financial statements, news articles, market data, and other information sources to generate credit ratings, eliminating the need for physical credit evaluation departments and significantly reducing system complexity and resource requirements while maintaining or improving credit risk management capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The automated credit evaluation system performs multiple functions simultaneously: it monitors financial data, analyzes news articles, updates credit ratings, notifies traders of credit changes, and integrates with trading systems. This multi-functional approach consolidates what would traditionally require separate departments and personnel into a single integrated system, reducing overall complexity while enhancing credit risk management capability.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS8938397B2Systems and methods of facilitating trading of instruments

Publication Date: 2015.01.20 ICAP SERVICES NORTH AMERICA LLC

AI summary

Systems and methods of facilitating trades of instruments are provided. A master node and a plurality of intermediate nodes store counterparty credit matrices. Trades are executed based on the information stored in these matrices. The systems and methods allow selection of trading options that not only accept or reject a trade, but also can indicate a credit status to be assigned to a counterparty to the trade.