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Vertex Capital
Investment strategy

How Vertex Fund invests.

Most portfolio outcomes are explained by exposures to factors and themes, not by individual stock picks. Vertex Fund makes those exposures explicit, measures them separately and rotates towards what is working. When a regime breaks, each engine steps aside.

Philosophy

Two engines, two layers of risk control.

01

Engine I: factor rotation

Beta that adapts

Rotates between global investment styles, favouring the styles that are currently working.

02

Engine II: thematic alpha

Returns beyond factors

Invests only in themes whose returns go beyond what the market and investment styles explain.

03

Allocator

Capital balanced by risk

Balances risk between the two engines and tilts toward the stronger one within 30 to 70% bounds.

04

Drawdown switch

A defined response to stress

Each engine moves to gold and EUR government bonds after a 20% fall and re-enters once part of the loss is recovered.

Comparison

Unlike traditional active equity.

Traditional bottom-up portfolios carry factor and thematic exposures implicitly, and they tend to surface only in market stress. Vertex Fund makes them explicit.

Traditional active equityVertex Fund
Source of returnStock picking; factor bets are implicit and often unintendedExplicit: factor beta and thematic alpha, measured separately
Decision processDiscretionary, forecast-drivenModel-driven, signals refreshed monthly; deviations only in exceptional cases
Response to stressTypically stays fully investedDefined switch to gold and EUR government bonds, aiming to reduce losses
TransparencyOpaque drivers of performanceClear attribution by engine and by position
Engine I

Factor rotation.

Captures shifting leadership among global investment styles. The universe is seven global UCITS factor ETFs: the global market, value, momentum, size (small cap), minimum volatility, quality and growth. Every month the engine runs the same four steps.

01

Measure

Measure how each style ETF has performed over the past 3, 6, 9 and 12 months.

02

Weight the horizons

Give more weight to the horizons that have recently predicted best, adjusted for calm or turbulent markets.

03

Select

Hold the top 3 styles. In choppy, trendless markets the bar is raised; if nothing qualifies, the portfolio is kept.

04

Size

Weight by risk: calmer ETFs get a larger share, with a modest tilt toward the strongest signals.

Engine II

Thematic alpha.

Only themes that beat their factor exposures earn capital. The engine groups 35+ thematic ETFs into 14 theme funds and tests each one every month; only the part of a theme’s return that the market and investment styles cannot explain counts as alpha.

  • AI software, data and cloud
  • Semiconductors and AI infrastructure
  • Cybersecurity
  • Clean energy, EV and batteries
  • Healthcare, biotech and ageing
  • Aerospace and defence
  • Power grids, water and infrastructure
  • Circular economy and food
  • Blockchain and digital assets

Themes shown are illustrative, not current holdings. Each theme fund equally weights ETFs with a similar objective, so overlapping products count once.

Alpha test
Return beyond factors is positive and statistically significant, with at least one year of history.
Top 6
The strongest themes, ranked by alpha.
Top 3
Core holdings: the themes with the strongest momentum, sized by risk.
Watchlist
At most 30%: promising themes not yet statistically proven.
Stress protocol

When an engine falls 20%.

The protocol is the same for both engines; only the re-entry threshold differs. Recovery is judged on a shadow portfolio that keeps tracking the engine while it is invested defensively.

  1. Trigger

    The engine falls 20% from its peak. Drawdowns are checked daily.

  2. Defend

    It moves to 50% EUR government bonds and 50% physical gold.

  3. Re-enter

    It re-enters once a quarter (factor engine) or a third (thematic engine) of the loss is recovered, confirmed over 6 trading days.

  4. Reset

    Normal rotation resumes. A new fall is measured from this point.

Allocation and risk management

Allocation within hard limits.

The allocator starts from equal risk between the engines. Relative momentum tilts the mix by at most 20 percentage points, and the tilt flattens out as signals get stronger.

Risk balance
The riskier engine receives less capital.
Allocation bounds
Factor engine 30 to 70%; momentum tilt at most 20 percentage points.
Turnover control
Quarterly review; changes below 5% are not traded; reversals at most 15 percentage points per quarter.
Drift
Rebalance to target when drift exceeds 5% at month end; otherwise no trade.
Leverage
At most 130% gross and 110% commitment; no structural leverage.
Instruments
Listed ETFs and ETCs on regulated exchanges only, with full look-through transparency.
Discretion
The Manager follows the model and deviates only in exceptional cases where the interests of the Fund so require.
Changes
Parameters may change in line with the Information Memorandum. Material changes are announced two months in advance, with a free exit window.
Evidence

Built on published research.

Factor returns are persistent: winners keep winning and losers keep lagging, a pattern that can be harvested systematically. Ehsani and Linnainmaa (2022), Journal of Finance; Gupta and Kelly (2019), Journal of Portfolio Management.

Thematic narratives can grow into systematic return drivers beyond traditional market and style factors. Candès et al. (2025), Financial Analysts Journal; Braga, Vacca and Zoia (2026), European Financial Management; Bybee, Kelly and Su (2023), Review of Financial Studies.

Third-party research is cited for context and is believed to be reliable but has not been independently verified.

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Call +31 6 305 77 423

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