Hybrid Multilateral-Bilateral Financial Position Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Market makers and other financial participants face challenges in reducing regulatory capital requirements due to high notional values of index options contracts, necessitating efficient multilateral compression of position portfolios while managing cost and risk constraints.
Innovation Solution
A computer-implemented method for hybrid multilateral-bilateral compression, utilizing workflow management and advanced analytics to derive candidate portfolios that maximize capital reduction while satisfying participant-specific constraints, followed by bilateral compression of residual positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multilateral compression is implemented to reduce regulatory capital requirements, then capital efficiency is improved, but system complexity increases
Solution Approach 1:
The compression system is divided into distinct functional modules: workflow management component handles participant coordination and constraint collection, analytics component performs optimization calculations, and execution component manages trade implementation. This segmentation allows each module to be independently developed, maintained, and scaled, reducing overall system complexity while enabling comprehensive multilateral compression functionality.
Solution Approach 2:
The patent introduces an intermediary compression management system that acts as a mediator between multiple market participants. This intermediary coordinates the compression process, collects constraints from participants, performs optimization, and manages execution, thereby simplifying the interaction complexity that would otherwise exist between all participant pairs.
2Quantity of substance
If advanced analytics are used to derive optimal compression portfolios, then capital reduction is maximized, but computational requirements increase
Solution Approach 1:
The system performs preliminary actions by collecting all participant positions and constraints before initiating the optimization process. The workflow management component pre-processes input data, validates constraints, and prepares the problem formulation, which reduces the computational burden during the actual optimization execution and enables more efficient use of computational resources.
Solution Approach 2:
The analytics component employs parameter changes by transforming the compression optimization problem into different mathematical formulations that can be solved more efficiently. The system adjusts optimization parameters and uses iterative algorithms that converge to optimal solutions with reduced computational requirements compared to brute-force approaches.
3Reliability
If participant-specific constraints are enforced to manage risk exposure, then risk management is improved, but compression efficiency decreases
Solution Approach 1:
The system applies local quality by allowing each participant to define their own specific constraints and risk parameters tailored to their individual risk management requirements. The optimization process respects these local constraints while still achieving global compression efficiency by finding the optimal portfolio that satisfies all participant-specific requirements simultaneously.
Solution Approach 2:
The workflow management component implements feedback mechanisms where participant constraints and risk parameters are collected, the optimization is performed, and results are fed back to participants for review. This iterative feedback process allows participants to adjust their constraints if needed and ensures that the final compression portfolio meets both risk management requirements and efficiency goals.
Data Source
AI summary
Systems and techniques are disclosed for reducing regulatory capital requirements for market participants with financial positions. Participant positions are received in a database for matching the participant positions. Additionally, participant assessed theoretical value by position, capital requirement reduction benefit for closing transactions and penalty for opening transactions by position, compression cost constraints, and zero or more custom constraints specifying acceptable risk profile in a portfolio of trades are received from each participant. A set of trades between a plurality of participants that delivers a capital requirement reduction to each of the plurality of participants, while simultaneously satisfying all participant specified cost and risk constraints is calculated. A time period to review and approve compression portfolios prior to consummating trades is provided. Trades including a multilateral compression portfolio on unanimous approval by each of the plurality of participants are automatically cleared and reported. Trade match data is calculated and disseminated.