Liquidity Risk and Other Non-Market Risks › Liquidity Risk and Other Non-Market Risks

Throughout Part V, we have focused on risks that can be measured through price movements: market risk captured by VaR and expected shortfall, credit risk modeled through default probabilities and loss given default, and counterparty risk quantified via CVA. These risks, while challenging to measure, share a common feature: they manifest through observable market prices or clearly defined credit events. However, some of the most devastating financial losses stem from risks that our pricing models do not capture well, risks that emerge precisely when our quantitative frameworks are most stressed.

Liquidity risk arises when you cannot transact at the expected price, or cannot transact at all. A portfolio might show acceptable VaR under normal conditions, yet face catastrophic losses when the positions cannot be unwound without devastating price impact. The 2008 financial crisis demonstrated this vividly: assets that appeared liquid under normal conditions became nearly impossible to sell, turning paper losses into realized disasters.

Beyond liquidity, financial institutions face operational risks (losses arising from failed processes, systems, or human errors) and model risk, the danger that our quantitative tools themselves contain flaws or rest on invalid assumptions. These risks resist easy quantification, yet they have caused some of the largest losses in financial history. The collapse of Barings Bank from unauthorized trading, the London Whale's multi-billion dollar losses from mispriced derivatives, and the failure of sophisticated models during the subprime crisis all illustrate how non-market risks can overwhelm the careful calibrations of market risk models.

This chapter explores these risks that standard pricing models do not adequately address, examining how to measure what we can, manage what we cannot fully measure, and maintain healthy skepticism about our own quantitative frameworks.