2026/03/10 by Otar Sepper · 1 voice
Economics, Econometrics and Finance · #q-fin.RM
We introduce Slippage-at-Risk (SaR), a quantitative framework for measuring liquidity risk in perpetual futures exchanges. Unlike backward-looking metrics such as Value-at-Risk computed on historical returns or realized deficit distributions, SaR provides a forward-looking assessment of liquidation execution risk derived from current order book microstructure. The framework comprises three complementary metrics: SaR(α), the cross-sectional slippage quantile; ESaR(α), the expected slippage in the distributional tail; and TSaR(α), the aggregate dollar-denominated tail slippage. We extend the base framework with a concentration adjustment that penalizes fragile liquidity structures where a small number of market makers dominate quote provision. Drawing on recent work by Chitra et al. (2025) on autodeleveraging mechanisms and insurance fund optimization, we establish a direct mapping from SaR metrics to optimal capital requirements. Empirical analysis using Hyperliquid order book data, including the October 10, 2025 liquidation cascade, demonstrates SaR's predictive validity as a leading indicator of systemic stress. We conclude with practical implementation guidance and discuss philosophical implications for risk management in decentralized financial systems.