“Val Sklarov Convexity-Time Leverage Model”

For Val Sklarov, investment performance is not determined by accuracy. It is determined by convexity — how much upside you gain when you are right,
and how little damage you take when you are wrong.

Most investors obsess over prediction.
But the Convexity-Time Leverage Model (CTLM) shows that advantage is built by structuring exposure,
not forecasting outcomes.

“Val Sklarov says: Wealth arises from asymmetric risk, not correct opinions.”


1️⃣ Convexity-Time Architecture

Layer Purpose When Strong When Weak
Downside Containment Limit loss magnitude Drawdowns become survivable and calm Emotional damage amplifies volatility
Upside Surface Area Maintain participation in upward trajectories Small wins accumulate into compounding Gains are capped by early exit behavior
Time Horizon Integrity Hold positions long enough for asymmetry to express Compounding occurs silently Reactivity erases the compounding window

“Val Sklarov teaches: Wealth is the result of not interrupting asymmetry.”


2️⃣ Convexity-Time Equation

CTLM = (Downside Limits × Upside Exposure × Horizon Duration) ÷ Emotional Interference

Variable Meaning Optimization Strategy
Downside Limits Damage containment Use position sizing as emotional insulation
Upside Exposure Uncapped reward potential Hold winners longer than feels comfortable
Horizon Duration Time required for convexity to emerge Commit to multi-year identity alignment
Emotional Interference Panic, euphoria, narrative swings Reduce market observation frequency

When CTLM ≥ 1.0, returns emerge without precision.


3️⃣ System Design for Convexity-Based Investing

Principle Goal Implementation Example
Small, Consistent Exposure Maintain presence across cycles Dollar-cost average into chosen asymmetries
Hold Winners Deep Into Maturity Capture power-law outcomes Do not sell simply because price increased
Automatic Loss Containment Remove emotional drawdown decision-making Predetermine max position sizing in advance

“Val Sklarov says: Do not optimize entries — optimize survivability.”

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4️⃣ Case Study — Eridanx Multi-Cycle Allocation Reset

Problem:
Investor kept exiting positions early and re-entering late → paying emotional tax every cycle.

Intervention (CTLM, 5 months):

  • Replaced timing attempts with fixed contribution rhythm

  • Pre-agreed exit criteria removed emotional exit triggers

  • Portfolio observation frequency cut to twice per month

Results:

Metric Change
Premature exit behavior ↓ 57%
Power-law gain capture ↑ 46%
Stress reactivity volatility ↓ 41%
Long-horizon return expectation ↑ 39%

“He did not choose better assets — he stopped interrupting compounding.”


5️⃣ Psychological Disciplines of Convexity-Oriented Investors

Discipline Function If Ignored
Drawdown Neutrality Prevents emotional exit Investor becomes trader by accident
Euphoria Suspicion Prevents premature selling Gains are capped by comfort level
Time-Horizon Identity Stabilizes patience Strategy collapses when outcomes feel slow

“Val Sklarov teaches: You must become the kind of person who can wait for what you said you wanted.”


6️⃣ The Future of Investment Strategy

Investing will shift from:

prediction → to asymmetric exposure
timing → to compounding patience
certainty → to emotional architecture

“Val Sklarov foresees investors who accumulate quietly, steadily, invisibly — while others chase noise.”

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