Insights

Capital Allocation Across Event Types

Alphanume Team · March 1, 2026

Splitting risk budget among event sleeves.

Capital allocation across event-driven sleeves is the highest-impact decision in multi-strategy short book construction. Allocating disproportionately to high-conviction sleeves can produce concentration risk; spreading too evenly dilutes the signals; the right allocation depends on signal strength, capacity, correlation, and operational considerations. Several frameworks work; the discipline is to choose one and apply it consistently.

The framework options

1. Equal-risk-weighted. Each sleeve gets allocation inversely proportional to its volatility. Higher-volatility sleeves get smaller allocations.

2. Expected-return-weighted. Each sleeve gets allocation proportional to expected return (or expected information ratio). Higher-conviction sleeves get more.

3. Capacity-weighted. Each sleeve gets allocation proportional to its capacity (sustainable AUM). Highest-capacity sleeves get the most.

4. Hybrid. Combine multiple weighting schemes with operator-set targets.

The hybrid approach typically works best in practice; it accommodates the relevant trade-offs without requiring precise estimation of any single input.

The starting-allocation defaults

For a multi-sleeve event-driven short book:

Sleeve	Default allocation	Range
Discrete offerings	30%	20-40%
ATM activations	20%	10-25%
De-SPAC cohort	20%	15-30%
Lock-up expirations	15%	10-25%
Structured financing	8%	5-15%
Discretionary / opportunistic	7%	0-15%

These are starting points. Each operator's actual allocation should reflect their specific capacity, conviction, and operational considerations.

The adjustment dynamics

Allocations evolve over time based on observed performance:

Outperforming sleeves: Modest increase (within range bounds). Don't chase performance.
Underperforming sleeves: Modest decrease, but only after sustained underperformance vs expected.
Capacity changes: If a sleeve's capacity expands or contracts, allocation responds.
Regime changes: Some sleeves perform better in certain regimes; allocations can shift accordingly.

The chasing-performance trap

Allocating heavily to recently outperforming sleeves is a common error. Reasons:

Recent outperformance can be sample noise.
Sleeve performance can mean-revert as the underlying anomaly becomes crowded.
Capacity constraints prevent sustained large allocations to high-performing sleeves.
Diversification benefits decrease as allocations concentrate.

The discipline: allocations adjust slowly, in defined increments, based on multi-quarter rather than single-quarter performance.

The capacity constraint

Capacity is the binding constraint for several sleeves:

Structured-financing capacity is small. Most strategies cap at <5-10% of total AUM regardless of expected return.
De-SPAC cohort capacity depends on float availability in the cohort. Limited.
Lock-up expiration capacity is event-driven; depends on number of suitable upcoming expirations.
Discrete offerings and ATMs have higher aggregate capacity due to the size of the underlying universe.

The capacity-weighted approach allocates more to high-capacity sleeves naturally.

The correlation overlay

Sleeve correlations matter for portfolio-level risk:

Discrete offerings + ATM correlation: typically 0.4-0.6 (both small-cap event-driven).
De-SPAC + Lock-up correlation: typically 0.5-0.7 (significant overlap in cohort).
Structured-financing + others: typically 0.3-0.5.

Higher pairwise correlations reduce the diversification benefit of separate allocations. See correlation between short sleeves.

Reallocation cadence

Reasonable cadence for capital allocation changes:

Monthly: Marginal adjustments within ranges.
Quarterly: Larger adjustments based on rolling performance.
Annually: Framework review; major reallocations if conditions warrant.

The reporting requirement

Per-sleeve performance reporting feeds back into allocation:

Sleeve-attributed return and volatility.
Sleeve-attributed borrow cost.
Sleeve-attributed risk metrics (max drawdown, value at risk).
Capacity utilization metrics.

Without clean per-sleeve reporting, allocation decisions are made on incomplete information.