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Translating Liquidity Risk Stress Testing into a Practical Technical Framework

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Liquidity risk stress testing is an essential component of risk management for investment funds. It ensures that funds can meet redemption requests - even under stressed market conditions - while continuing to fulfill their investment objectives. In our previous article, Liquidity Risk Stress Testing in UCITS & AIFs Regulation, we explored the regulatory backdrop and expectations under frameworks such as UCITS and AIFMD. This article bridges the gap between regulatory mandates and real-world implementation by outlining a practical approach to liquidity stress testing that is scalable, adaptable, and grounded in robust methodology.

 

  1. Summary


As highlighted in our earlier article, regulatory frameworks such as UCITS and AIFMD require fund managers to perform liquidity stress tests under both normal and stressed conditions. These tests must be comprehensive, covering sudden redemption shocks, market-wide liquidity crises, and other relevant scenarios. The goal is to ensure that funds can manage redemptions and maintain stability in adverse conditions.

Key drivers of portfolio liquidity are captured by two core metrics that provide a clear picture of a fund’s resilience and enable informed decisions on risk management and contingency planning:

  • Liquidity Horizon: The estimated time required to liquidate positions under stress without causing undue market impact.

  • Liquidity Cost: The cost incurred from forced sales, including price slippage and wider bid-ask spreads.

  • Liquidity Valuation: The expected value the portfolio could realize under forced liquidation, given time-to-sell and market impact.

 

  1. Scenario Design


At Plutus Analytics, we approach liquidity stress testing by starting with scenario design. This involves defining redemption shocks that reflect both historical stress periods and hypothetical, yet plausible, market events. For example, a sudden redemption shock might represent a large investor withdrawal, while a gradual redemption scenario could simulate persistent liquidity strain.

Typical scenarios include:

  • Sudden Redemption Shocks: Large investor withdrawals over a short period, testing the fund’s immediate liquidity capacity.

  • Gradual Liquidity Drain: Sustained redemptions over several days or weeks, simulating persistent market stress.

  • Market-Wide Liquidity Crisis: A broad decline in market liquidity across multiple asset classes, often triggered by systemic events.

By carefully crafting these scenarios, managers can better understand how different market stresses impact their portfolios.

 

  1. Instrument-Level Liquidity


A key objective in liquidity stress testing is to build a liquidity profile for each instrument in the portfolio. By leveraging market data - including asset prices, historical trade volumes, bid-ask spreads, and market depth - we model how each instrument might behave under stress. At this stage, Liquidity Horizon and Liquidity Cost are calculated at the instrument level, independently of any portfolio dynamics. This approach allows us to estimate how easily each asset could be sold in a stressed environment, providing the building blocks for more comprehensive portfolio-level analysis.

 

  1. Portfolio-Level Liquidity


Once instrument-level liquidity metrics are established, they must be aggregated to assess the portfolio’s overall liquidity risk. This aggregation process considers both the liquidity profile of individual instruments and the composition of the portfolio, ensuring that liquidity stress testing reflects the fund’s true risk exposure under stressed conditions.

Different strategies can be applied at this stage: some focus on preserving investment alignment during stress events while meeting specified cost limits, while others emphasize minimizing market impact and cost to fulfill redemption requests quickly. Both approaches offer valuable insights into liquidity management, helping managers plan for various redemption scenarios while aligning with the fund’s investment strategy.

 

  1. Cross-Scenario Analysis


A robust liquidity stress testing framework doesn’t stop at modeling redemption shocks alone. It also considers the impact of changing market conditions on the asset side. For example, stressed liquidity can be exacerbated by widening bid-ask spreads, declining market depth, or price volatility.

By cross-checking multiple scenarios, managers can assess the combined impact of investor redemptions and adverse market conditions on the portfolio’s liquidity profile. This holistic view ensures that the stress testing process captures the interplay between funding and market liquidity, providing a more complete picture of the fund’s resilience in real-world stress situations.

 

  1. Integrated Calculations and Adaptability


These calculations draw on both portfolio-level and instrument-level data, integrating market depth, trading volumes, and bid-ask spreads. By applying a consistent and adaptable methodology, we evaluate how different liquidity shocks affect a fund’s ability to meet redemptions while preserving its investment strategy.

Our framework is designed to be scalable and flexible, allowing asset managers to tailor stress tests to their fund’s unique liquidity profile and investor base. This approach aligns with regulatory expectations for proportionality and relevance, ensuring that stress tests are both meaningful and actionable.

 

  1. Conclusion


Liquidity risk stress testing is a strategic risk management tool, not just a regulatory requirement. By building on robust instrument-level analysis and portfolio-level integration, managers can identify vulnerabilities and prepare effective contingency plans.

At Plutus Analytics, we specialize in developing practical, adaptable frameworks that empower asset managers to navigate liquidity challenges with confidence.

 

Looking to implement a robust liquidity stress testing framework in your fund? Let’s connect to explore tailored solutions that strengthen resilience and build investor confidence.

 

 
 
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