Risk Management
A multi-layer quantitative risk framework covering pre-trade order admission controls, real-time exposure monitoring, liquidity-adjusted VaR, and post-trade attribution.
Order Matching Risk Controls
Every order submitted to the FundInsight matching engine passes through a multi-stage pre-admission risk validation pipeline before it is accepted into the live order book. The first stage enforces hard limits on maximum order notional size, per-instrument gross exposure, and total portfolio notional—any order exceeding a configured limit is rejected with a FIX Execution Report (8) indicating "Order Rejected — Risk Limit Breach" before consuming any matching engine resources. The second stage performs a forward-looking margin check, computing the pro-forma margin utilisation that would result from the order's full execution and rejecting orders that would push utilisation above the configured threshold (default: 80%). The third stage applies a velocity control filter, limiting the number of order modifications per instrument per second to prevent runaway algorithmic order behaviour. All rejection events are logged with full order context and delivered to the client's designated risk monitoring webhook in real time.
Multi-Tier Risk Governance Architecture
FundInsight operates a three-tier risk governance model that separates risk monitoring responsibilities across the pre-trade, intraday, and post-trade lifecycle. At the pre-trade tier, the order admission pipeline enforces static limits configured in each client's Risk Parameter Profile (RPP). At the intraday tier, a continuous risk monitoring daemon recomputes real-time VaR using the EWMA covariance model (λ=0.94, RiskMetrics standard) and sends alert notifications when portfolio VaR exceeds 75% of the configured 99% one-day VaR limit. At the post-trade tier, a daily P&L attribution report decomposes realised gains and losses into market move, spread cost, slippage, and funding components—providing a granular audit trail that supports both internal risk review and regulatory reporting obligations under MAS Notice SFA04-N02 and MiFID II Article 25.
Liquidity-Adjusted VaR & Drawdown Monitoring
Standard VaR models assume that positions can be liquidated at or near current market prices. In practice, large institutional positions face significant market impact costs during liquidation, particularly during periods of compressed liquidity. FundInsight addresses this limitation through a Liquidity-Adjusted VaR (LaVaR) framework that augments the standard parametric VaR estimate with a liquidation cost component modelled using the Almgren-Chriss optimal execution framework. The LaVaR is computed as: LaVaR = VaR_parametric + LC(S, T, σ), where LC represents the expected liquidation cost for position size S over liquidation horizon T in a market with intraday volatility σ. The Liquidity Adjustment Factor (LAF, default: 1.18×) is calibrated quarterly against realised execution cost data from the FundInsight SOR system, ensuring that the LaVaR estimate reflects current market liquidity conditions rather than pre-crisis historical averages.
Regulatory Capital & Margin Attribution
FundInsight's capital attribution module provides real-time estimates of regulatory capital requirements under both the Standardised Approach and the Internal Models Approach as specified under Basel III. Initial margin requirements are computed using SPAN margin methodology for exchange-cleared instruments and a proprietary sensitivity-based model for OTC FX and CFD positions. Variation margin is marked-to-market at 1-second intervals during active market sessions. The module generates a Capital Utilisation Report (CUR) on a configurable schedule—intraday, end-of-day, or on-demand—expressing capital consumption as a percentage of the institutional client's total risk capital base. This report is designed to satisfy the internal capital reporting requirements of MAS-regulated entities and FCA-authorised firms operating under the Investment Firms Prudential Regime (IFPR).
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