Company types
Portfolio Look-Through
Portfolio Look-Through is the process of analyzing underlying holdings and exposures across funds, vehicles, and managers to understand true concentration, factor risk, and hidden correlations. Allocators use look-through to avoid unintended bets and manage aggregate risk.
Look-through analysis moves beyond fund labels to understand what a portfolio truly owns: sectors, geographies, factor exposures, leverage, and overlapping positions across managers.
For allocators, look-through is essential because diversification on paper can become correlation in reality.
How allocators define look-through exposure
They analyze:
- Overlap risk: same assets held across multiple managers or vehicles
- Sector/geo concentration: hidden clustering in themes
- Factor exposures: growth/value, duration, credit beta, liquidity beta
- Leverage stacking: leverage layered across funds and portfolio companies
- Liquidity profile: ability to raise cash when needed
- Vintage and pacing: concentrated exposure to one macro regime
Allocator framing:
“What are we actually exposed to—across the full stack?”
How it fits into allocator workflows
Used to:
- Prevent unintended concentration
- Improve pacing and rebalancing decisions
- Understand drawdown drivers and stress behavior
- Support governance reporting and IC decision-making
What slows decision-making
- Incomplete data from managers
- Inconsistent classification and mapping standards
- Time lags and stale holdings data
- Difficulty reconciling exposure across structures
Common misconceptions
- “Multiple managers means diversified” → overlap can be massive.
- “Fund labels reflect holdings” → mandates drift; exposures change.
- “Look-through is only for public markets” → private exposures can cluster too.
Key allocator questions
- Where is overlap and how big is it?
- What is aggregate exposure to one sector/theme?
- What is liquidity in a drawdown scenario?
- Are we stacking leverage unknowingly?
- What is the true risk budget usage by driver?
Key Takeaways
- Look-through prevents hidden concentration and correlation traps
- Portfolio risk is defined by underlying exposures, not labels
- Data completeness and mapping discipline determine usefulness