Inferensys

Glossary

Liquidity Adjusted Value at Risk (L-VaR)

A risk metric that extends traditional Value at Risk by incorporating the additional cost of liquidating a position in an illiquid market over a specific time horizon.
Risk analyst performing AI risk assessment on laptop, risk matrices visible, casual office risk session.
RISK METRIC

What is Liquidity Adjusted Value at Risk (L-VaR)?

L-VaR extends the traditional Value at Risk framework by integrating the cost of liquidating a position in a market with limited depth.

Liquidity Adjusted Value at Risk (L-VaR) is a risk metric that modifies standard Value at Risk by adding the exogenous cost of liquidation—specifically the bid-ask spread and the price impact of unwinding a position—to the potential loss calculated from adverse price movements over a defined holding period.

Unlike traditional VaR, which assumes frictionless markets, L-VaR explicitly models the execution cost of selling an asset quickly. It quantifies the worst-case loss by factoring in both the volatility of the asset's price and the market depth, ensuring the risk assessment reflects the reality that large positions cannot be exited at the mid-price without moving the market.

LIQUIDITY RISK METRICS

Frequently Asked Questions

Explore the core concepts behind Liquidity Adjusted Value at Risk (L-VaR), a critical extension of traditional risk models that accounts for the cost of exiting positions in stressed or illiquid markets.

Liquidity Adjusted Value at Risk (L-VaR) is a risk metric that extends the standard Value at Risk (VaR) framework by incorporating the exogenous cost of liquidation into the potential loss estimate over a defined holding period. While traditional VaR assumes a frictionless market where positions can be unwound at the mid-price, L-VaR explicitly models the bid-ask spread and the market impact of the trade itself. It works by adding a liquidity cost component to the standard price-volatility VaR. The formula is often expressed as: L-VaR = VaR + L, where L represents the liquidity cost. For a single asset, L is frequently calculated as half the spread plus a scaling factor for the price impact of the position size relative to normal market volume. This adjustment ensures that the risk assessment reflects the true exit value, not just a theoretical mark-to-market price, making it essential for institutions holding large, concentrated, or illiquid assets.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.