Insights

Combining Event Signals Into One Book

Alphanume Team · March 8, 2026

Stacking dilution, de-SPAC, and lock-up sleeves.

The individual event-driven short sleeves — dilution, ATM, de-SPAC, lock-up, structured-financing — each have positive expected value as standalone strategies. Combining them into a single short book produces a portfolio with characteristics different from any individual sleeve: smoother returns, lower per-trade volatility, and better risk-adjusted performance, but also new joint exposures that require explicit management.

Why combine sleeves

The motivations are standard portfolio-theoretic:

Lower idiosyncratic volatility. No single event-type drawdown dominates.
Capacity expansion. Combined sleeve capacity exceeds individual-sleeve capacity.
Diversification across catalyst types. Different events drive returns in different periods.
Smoother P&L curve. Loss months less concentrated.

The correlation reality

The sleeves are not uncorrelated. They share several common-factor exposures:

Small-cap factor. All sleeves operate predominantly in small- and micro-cap names. Small-cap moves affect all sleeves jointly.
Risk-on / risk-off regime. All short sleeves perform worse in strong rising markets.
Borrow-market liquidity. Sleeve performance is partly determined by borrow availability; tight borrow markets hurt all sleeves.
Volatility regime. Extreme low-VIX environments tend to suppress drift across most short categories.

The pairwise correlations between sleeves are typically 0.3-0.7. Lower than perfect correlation (so diversification works) but materially above zero (so the diversification is partial).

Capital allocation across sleeves

Reasonable starting allocations:

Sleeve	Allocation	Rationale
Discrete offerings	25-35%	Highest per-event clarity
ATM activations	15-20%	Diffuse but persistent
De-SPAC structures	15-25%	Strong evidence; concentrated risk
Lock-up expirations	15-20%	Clean event timing
Structured financing	5-10%	High conviction; tight capacity
Other / opportunistic	5-15%	Flexibility

The exact allocation depends on AUM, borrow constraints, and risk tolerance. Larger allocations to higher-capacity sleeves; smaller allocations to capacity-constrained sleeves.

Per-sleeve sizing discipline

Within each sleeve:

Max per-name: Typically 1-2% of total portfolio.
Max per-sleeve: As above.
Max per-sector: 15-20% of portfolio to limit single-sector concentration.
Max per-vintage: For time-clustered sleeves (de-SPAC, lock-up), limits on exposure to single merger or IPO vintage.

The "same name in multiple sleeves" question

Sometimes a single ticker qualifies for multiple sleeve criteria. Example: a recently de-SPAC'd company with an active ATM program and an upcoming lock-up expiration. Each sleeve has independent rationale; should the name appear in multiple sleeves with stacked positions?

The discipline is to treat the position as one position, with sizing reflecting the conviction stack but not the multiple-sleeve attribution. See handling overlapping signals on one name for the detailed treatment.

The risk overlays

Portfolio-level overlays applied across all sleeves:

Regime filter. Reduce overall sleeve exposure during strong risk-on periods.
Squeeze-screen exclusion. Names appearing on squeeze candidate lists excluded or down-weighted across all sleeves.
Borrow-cost budget. Portfolio-level cap on total borrow expense; per-position contributions priced against the budget.
Drawdown circuit-breakers. Sleeve-level or portfolio-level drawdown limits trigger reduced exposure.

The performance expectations

A well-implemented combined event-driven short book in the small-cap universe typically targets:

Net annualized return: high single digits to low teens.
Sharpe ratio: 0.7-1.2 depending on regime and implementation quality.
Max drawdown: 15-25%.
Sleeve correlation: 0.3-0.6 pairwise.
Turnover: moderate (30-60% per quarter).

These are population-typical expectations, not guarantees. Implementation quality and market regime substantially affect realized outcomes.