Baton Systems, a leading provider of post-trade processing solutions, today announced an advanced portfolio optimization capability for collateral managers, treasury teams and clearing operations. The capability is designed to identify economically efficient, operationally achievable allocations across a portfolio of cash and securities and a portfolio of obligations, rather than optimizing one margin requirement at a time.
Higher funding costs, expanding clearing obligations and volatile margin demands are sharpening the economics of every collateral decision. Yet many firms still assemble inventory, eligibility, pricing and movement constraints across fragmented systems and spreadsheets. Optimization is then run sequentially for individual venues, which can consume an asset in one decision even when it would create greater value elsewhere. The result is avoidable funding cost, scarce HQLA tied up unnecessarily, and additional movements for operations teams to manage. Firms need portfolio-wide decisions grounded in complete eligibility data and the practical constraints that determine whether an allocation can actually be delivered.
Baton’s advanced optimizer uses multiple optimization models including Mixed Integer Linear Programming, Stochastic programming and Multi-Period Optimization to assess multiple assets and obligations simultaneously. It combines a consolidated view of collateral sources and uses with normalised eligibility schedules, concentration limits, internal policies, asset economics and venue-specific delivery constraints. Teams can weight objectives such as reducing delivery cost, preserving HQLA or limiting the number of movements, then compare scenarios before choosing an allocation. The selected outcome can flow into Baton’s instruction and movement workflows, connecting analysis to action. The capability is modular, allowing firms to begin with eligibility, optimization or execution and expand over time without replacing their existing books and records.
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