Forecasting
Peering Into the Layers of Market Depth During Regime Correlation Shifts
Priya Shetty
September 25, 2026
Market depth is often reduced to visible statistics, but I’ve learned that beneath each surface lies a complex network of interactions. In this article, I revisit how market layers reveal themselves during regime shifts and explore why ignoring these interactions can distort forecasting. I return to the same themes, seeking new lessons each time.
Surface-level observations rarely tell the whole story. In extreme regimes, what’s hidden beneath market depth often drives the outcomes that matter.
Rethinking the Surface: What Lies Below
Some analysts view market depth as a surface-level statistic — the visible liquidity stacked up at different price points. I used to do the same, focusing on order books and ignoring deeper structural forces. But market depth is a layered phenomenon, with hidden interconnections shaping price responses during extreme events. By revisiting this concept over the years, I’ve learned that each regime brings new layers to the foreground, while others fade from relevance. What you see is rarely all that matters.
Interconnectedness: Mapping the Invisible Web
Network effects within the market can quickly transform a minor liquidity event into something more significant. During regime shifts, the links between different assets and actors become more pronounced. It’s only in retrospect that the hidden network becomes clear, revealing how stresses travel across boundaries. I revisit these network maps regularly, knowing that what’s invisible today may be obvious tomorrow.
Policy Backdrop: The Forgotten Layer
Every regime change is underscored by a policy backdrop that can seem, at first, peripheral. But history shows that regulatory or macroeconomic policy shifts alter liquidity, change the landscape of risks, and redefine what market depth means. My approach now is to spiral back, mapping how policy layers interact with market structure and to avoid assuming any layer is ever truly dormant.
