Crowding Is a Macro Story -Where It Matters
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
When crowded trades unwind, what drives the move — positioning, or macro?
Quant Insight ran eight years of the UBS Crowding Long/Short index through our Macro Factor Equity Risk Model (MFERM). The answer reframes the question.
On average days, macro explains around 17% of the index's variance. That looks like a negative result — but average days are the wrong test.
On tail days — the largest 10% of moves — macro's explanatory power rises to 38%, against 9% on normal days. It concentrates exactly where the P&L damage is done. The 2025 garbage rally: macro accounted for 60% of the −18% drawdown.
Covid 2020 and the February 2021 reflation rotation: macro accounted for effectively all of the move.
This is a feature of the current regime. From 2018 to 2021 the macro-crowding link was weak; since 2022 it has roughly tripled and stayed elevated.
Positioning screens tell you crowding is stretched.
They cannot tell you what moves it.
When the unwind comes, the majority of the P&L is macro — measurable, attributable, and hedgeable.
Get the full article by clicking the Download button
Related Articles
"Sell America". Sector by Sector
Copper and the Yield Curve Agree on One Thing
Long-End Yields Reprice Equity Risk, Unevenly
Announcement:
Quant Insight brings MFERM to FactSet Portfolio Analytics