HQLA Optimization

AI-powered High-Quality Liquid Asset optimization aligned with Basel III Liquidity Coverage Ratio (LCR) requirements - delivering explainable, audit-ready recommendations for Treasury and ALCO teams.

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HQLA Optimization

AI-powered High-Quality Liquid Asset optimization aligned with Basel III Liquidity Coverage Ratio (LCR) requirements - delivering explainable, audit-ready recommendations for Treasury and ALCO teams.

Overview

Features

Case Studies

OverviewOverview

From Regulatory Complexity to Clear, Defensible Decisions

Treasury teams at financial institutions face a persistent challenge: maintaining a High-Quality Liquid Asset buffer that satisfies Basel III LCR requirements while simultaneously optimizing yield, managing duration risk, and meeting ALCO's return targets. Managing these competing priorities through spreadsheets creates risk, inefficiency, and decisions that are difficult to defend to regulators.

HQLA Optimization brings Surya's AI directly into the treasury desk - turning regulatory complexity into clear, actionable recommendations that are explainable, audit-ready, and immediately usable by Treasury and ALCO teams. Every recommendation is produced within regulatory and internal constraints, with any action breaching a hard limit automatically excluded before it surfaces to the user.

Built on Surya's 25-year foundation in Balance Sheet Management and Risk Analytics - trusted by 75+ clients across 25+ countries - HQLA Optimization optionally integrates with market data sources in real time, giving Treasury teams a live view of eligible instruments, haircuts, cap constraints, and LCR impact before any trade is executed.

FeaturesFeatures

AI - Powered HQLA OptimizationOptimization engine aligned with Basel III LCR requirements - automatically enforcing L1, L2A, and L2B haircut rules, composition caps (40% L2A, 15% L2B), and hard regulatory limits across all recommendations.

Rebalancing ModeGenerates Buy / Sell / Hold recommendations for existing HQLA holdings - staying within your current universe and reallocating weight to better meet the active objective without requiring external market data inputs.

Hybrid ModeBlends current holdings with available market data to chart a realistic transition path - anchored to what you own today while identifying the most valuable reallocation opportunities from the broader eligible instrument set.

Market Data IntegrationOptional integration with real-time market data sources to analyze available instrument data - pricing, yield, duration, and eligibility - directly within the optimization engine, enabling live transition path analysis.

ALCO - Ready OutputRecommendations formatted for direct use in ALCO presentations - with summary metrics (LCR impact, yield delta, duration shift) and supporting rationale structured for board and committee-level review.

Regulatory and User Defined ConstraintsOptimization runs within both regulatory hard limits and internal policy constraints simultaneously. Any recommendation that breaches a constraint is automatically excluded - the output is always compliant before it reaches the user.

Universe ModeProposes an optimal HQLA portfolio built from eligible market instruments - ideal for a clean-slate strategy review or scenario planning ahead of a significant balance sheet change, independent of current holdings.

Three Optimisation ObjectivesFocus the engine on a single priority per cycle: maximise running yield without weakening liquidity quality; steer modified duration to target without leaking LCR; or improve the LCR ratio by improving buffer composition toward lower-haircut assets.

Explainable RecommendationsEvery SELL / BUY / HOLD call includes a plain-language explanation of why it was generated, which constraint it respects, and the expected impact on yield, duration, or LCR - fully defensible at ALCO and to regulators.

Audit - Ready TrailFull traceability of every recommendation - input parameters, constraint set, model version, and output rationale - ensuring complete audit readiness for internal controls and external regulatory review requirements.