Investment Thesis & Strategy

A multi-manager investment construct designed to deliver absolute, risk-adjusted returns with low correlation to traditional markets through systematic alpha generation across diverse strategies.

📘 Investment Summary Thesis

This portfolio is a multi-manager investment construct designed to deliver absolute, risk-adjusted returns with low correlation to traditional markets. The fund sources alpha from across a broad spectrum of uncorrelated and diversifying investment strategies, targeting systematic inefficiencies, behavioral patterns, macro dislocations, and volatility premiums.

Each strategy is institutionally vetted, employs robust risk controls, and is selected for its ability to generate consistent performance across different market regimes. The overarching goal is to combine these strategies into a single, volatility-managed, drawdown-aware fund that performs through trend, chop, crisis, and recovery.

📊 Six Core Strategy Categories

1. Positive Gamma: Convex Alpha Generation

Core Strategy

Convex Payoff: Systematic approach to "cut losses, let winners run," ensuring asymmetric returns that buffer downside risks and magnify upside potential.

Key Features:

  • • Unitized Risk Position Sizing
  • • Add to Winning Positions
  • • Positive Gamma Profile
  • • Enhanced Tail Returns

Portfolio Role:

Convex alpha generation with asymmetric risk-reward profile

2. Systematic Trend and Short-Term Futures

~25%

A core allocation is made to short-term quantitative trading programs that use signals derived from momentum, mean reversion, and volatility across global futures markets. These programs are fully systematic and frequently recalibrate based on market conditions.

Key Features:

  • • Dynamic notional funding
  • • Orthogonal model suites
  • • Algorithmic execution
  • • High liquidity and risk-targeting

Portfolio Role:

Core alpha driver and volatility-managed growth anchor

3. Crisis Alpha and Volatility-Based Models

~20%

This segment includes strategies specifically designed to profit from market dislocations, volatility spikes, and systemic stress. Some utilize machine learning to detect early warning signs of corrections.

Key Features:

  • • Long volatility structures
  • • Behavioral sentiment exploitation
  • • Asymmetry in market reactions
  • • Systemic feedback loop detection

Portfolio Role:

Volatility hedge, regime insurance

4. Discretionary Global Macro and Thematic Trades

~15%

Exposure is taken in concentrated macro strategies that focus on key inflection points, market narratives, and macroeconomic catalysts across sovereign bonds, FX, and equity indices.

Key Features:

  • • Top-down views with quantitative overlays
  • • Catalyst-driven timing
  • • Tight risk controls
  • • Dynamic sizing

Portfolio Role:

Opportunistic alpha, convexity, fundamental reactivity

5. Volatility Harvesting and Options-Based Income

~10%

This allocation targets strategies that sell short-dated, deep out-of-the-money options and/or manage volatility spreads with systematic or discretionary overlays.

Key Features:

  • • Premium decay capture
  • • Hedged volatility spreads
  • • VIX overlays and cash buffers
  • • Stop-losses and spread limits

Portfolio Role:

Steady cashflow, uncorrelated alpha, volatility curve arbitrage

6. Commodity and Ag Macro Alpha

~5%

A niche but high-conviction sleeve dedicated to strategies that trade commodities and global ag markets based on deep, fundamental research incorporating supply/demand analysis and geopolitical dynamics.

Key Features:

  • • Energy, metals, agriculture, freight
  • • Physical market knowledge
  • • Weather models and freight trends
  • • Geopolitical dynamics analysis

Portfolio Role:

Fundamental dislocation alpha, non-financial macro exposure

🎯 Portfolio Objectives and Risk Profile

ObjectiveTarget
Annual Return (Net)13–18%
Volatility<7%
Max Monthly Drawdown< 2.5%
Max Annual Drawdown~0.0%
Sharpe Ratio2.0-2.5
Beta to S&P 500~0.0 to -0.2

🧩 Execution & Portfolio Management

Dynamic Management

  • • Dynamic rebalancing based on volatility, correlation, and cross-strategy drawdowns
  • • Overlay controls include trailing stops and portfolio insurance
  • • Real-time stress testing across all positions

Risk Controls

  • • Volatility budgeting used to scale exposures
  • • Concentration limits and tail risk caps
  • • Holistic portfolio construction blending multiple signal types

Strategy Allocation Overview

Positive Gamma: Convex Alpha
Core Strategy
Systematic Trend & Futures
25%
Crisis Alpha & Volatility
20%
Global Macro & Thematic
15%
Volatility Harvesting
10%
Commodity & Ag Macro
5%