Portfolio Liquidation Allocation for Accurate Performance Bonds
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Solution Overview
Problem
Existing systems face challenges in accurately calculating the performance bond value for financial portfolios, particularly for large positions, as liquidation costs are difficult to estimate due to their impact on market prices, leading to potential losses and the need for improved methods to account for liquidation costs.
Innovation Solution
A method involving the identification of liquidation sets, including outright-traded and spread-traded products, with corresponding cost functions, and optimized allocations to determine a reduced liquidation cost, allowing for the calculation of an optimized performance bond based on these costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a holder of a portfolio goes bankrupt or otherwise defaults, the performance bond for that portfolio can be used to reduce losses resulting from the holder no longer being able to cover its positions
Solution Approach 1:
The portfolio is segmented into liquidation sets containing specific products (outright-traded and spread-traded), allowing for granular liquidation cost calculation at the set level rather than treating the entire portfolio as a single entity. This segmentation enables more precise estimation by considering correlations and dependencies within each set.
Solution Approach 2:
The system performs preliminary liquidation cost estimation by identifying multiple liquidation sets and calculating costs for each set before finalizing the performance bond requirement. This preliminary action allows for optimization of the liquidation strategy and more accurate cost prediction.
2Productivity
Attempting to liquidate a large position in a particular financial product can itself significantly affect the market for that product
Solution Approach 1:
Large portfolio positions are divided into multiple liquidation sets that can be liquidated in sequence or parallel. This segmentation reduces the instantaneous market impact by distributing the liquidation pressure across multiple products and time periods, thereby mitigating the harmful price impact effect.
Solution Approach 2:
The system merges liquidation strategies across multiple products within liquidation sets, optimizing the overall liquidation approach. By combining outright-traded and spread-traded products in coordinated liquidation sets, the system achieves more efficient liquidation while reducing individual market impacts.
3Quantity of substance
estimating liquidation recovery becomes more difficult as position sizes increase
Solution Approach 1:
Large positions are broken down into manageable liquidation sets, making the estimation problem tractable. Each set's liquidation cost can be estimated using historical data and statistical methods, and the total liquidation cost is derived by aggregating across sets, thereby reducing the overall estimation difficulty.
Solution Approach 2:
The system changes the estimation approach by introducing multiple parameters including correlation coefficients between products, liquidation set weights, and cost function parameters. These parameter changes enable more flexible and accurate estimation that adapts to different position sizes and market conditions.
Data Source
AI summary
A set of estimated allocations Nest(X1) through Nest(Xk) of portfolio positions to products X1 through Xk may be determined, with products X1 through Xk including portfolio products and spread-traded products based on some of the portfolio products. Utilizing the set of estimated allocations, an optimized liquidation cost LCopt may be designated. Data indicating at least a portion of a performance bond based on the optimized liquidation LCopt may be output.