Our Approach — The Quantitative Investment Management Protocol

Introduction

The Quantitative Investment Management Protocol

Safe Haven Capital’s investment philosophy is anchored in The Quantitative Investment Management Protocol — a rigorous quantitative framework that synthesises timeless economic wisdom with modern financial science.

This proprietary approach provides systematic guidance for crisis preparedness and counter-cyclical wealth generation.

Our Four Frameworks

The Science Behind the Protocol

01

Mandelbrot’s Fractal Market Theory

Recognition that markets exhibit fat-tailed distributions, rendering traditional Gaussian models inadequate for extreme event prediction. We design portfolios that account for the true nature of market risk.

Markets are wilder than the bell curve admits.

02

Taleb’s Antifragility Framework

Strategic positioning to gain from disorder and volatility through asymmetric payoff structures and convex exposure profiles. We don’t just survive market shocks — we benefit from them.

Built to gain from disorder.

03

Spitznagel’s Tail-Risk Hedging

Cost-effective catastrophic protection enabling aggressive bull market participation while maintaining crisis alpha capability. Protection that pays for itself over market cycles.

Protection that pays for itself over cycles.

04

Seven-Year Cycle Recognition

Systematic identification of secular market regimes ensuring liquidity deployment when distressed assets offer maximum value. Disciplined patience, decisive action.

Disciplined patience, decisive action.

Mandelbrot

Fat tails, power laws, market memory

Taleb

Antifragility, convex payoffs

Spitznagel

Tail hedging, volatility tax

Kelly

Optimal position sizing

Interactive Risk Lab

See the Ideas in Action

Three hands-on explorations of the principles behind the protocol. Educational illustrations only — not forecasts or product performance.

Normal (Gaussian) modelFat-tailed model Log scale (reveals the tails)

How often does a crash happen?

Under a bell curve, extreme days are almost impossible. Real markets disagree. Move the sliders and compare.

Move size

5σ

Tail heaviness (degrees of freedom)

4

Heavier tailsCloser to normal

—Normal model: a move this size happens…

—Fat-tailed model: a move this size happens…

The fat-tailed model makes this move — more likely.

Two-sided probabilities of a daily move beyond the chosen size, using a unit-variance Student-t distribution versus a normal distribution, converted at 252 trading days a year. Educational illustration only.

Unprotected portfolioWith tail protection layer

The shape of convexity

A small allocation to out-of-the-money protection costs a little in calm markets — and can change the outcome dramatically in a crash.

Tail protection budget

3%

Market move

-40%

—Unprotected result

—With protection layer

Cost in a +10% year: — — the “drag” the protection costs when markets rise.

Stylised payoff at expiry assuming a put option struck 20% below the market with a premium of 2% of notional. Not a forecast, product or performance illustration; real hedges are priced, structured and behave differently.

Phase 1 · Expansion

Growth broadens and confidence builds.

The core compounds; the tail layer is held as inexpensive insurance; the opportunistic reserve stays patient.

Select a point on the curve. Seven-Year Cycle Recognition seeks to identify secular market regimes so liquidity is deployed when distressed assets offer maximum value. Cycles are not regular or predictable in timing.

Strategic Allocation Framework

Three Layers, One Purpose

78%

Core Equity & Fixed Income

78%

Long-term wealth compounding

75%Target range 75–80%80%

Tail Protection Layer

4%

Crisis alpha generation & catastrophic loss prevention

2%Target range 2–5%5%

Opportunistic Reserve

18%

Counter-cyclical deployment in scarcity phases

15%Target range 15–20%20%

Drag within each target range — the total always balances to 100%. Illustrative framework only; actual allocations are set per mandate. The value of investments may go down as well as up, and past performance is not a guide to future results.

Component	Allocation	Purpose
Core Equity & Fixed Income	75–80%	Long-term wealth compounding
Tail Protection Layer	2–5%	Crisis alpha generation & catastrophic loss prevention
Opportunistic Reserve	15–20%	Counter-cyclical deployment in scarcity phases

Disclaimer: No quantitative model can guarantee a specific outcome or eliminate risk entirely. The value of investments may go down as well as up, and past performance is not a guide to future results.

Inside the Framework