How Arbiter makes decisions
Preserve capital. Then grow.
Arbiter seeks better long-term compounding in two ways: select companies capable of producing market-like or better returns, and preserve more capital when broad market conditions become dangerous. We research, execute and monitor Arbiter daily. Performance presented here is historical simulation, not live fund results.
The philosophy
A portfolio that loses less during a severe drawdown begins the recovery from a higher base. Less of the next market advance is spent recovering previous losses, and more of it contributes to long-term compounding.
This is the central philosophy behind Arbiter: seek return through disciplined company selection while systematically reducing participation in market-wide drawdowns.
How we preserve capital
Company selection answers which businesses deserve capital. Portfolio defense answers a different question: is the broader market environment currently hospitable to owning them?
A strong company can still decline sharply during a market-wide liquidation. When correlations rise and investors reduce risk across entire asset classes, company-specific quality may temporarily provide limited protection.
Arbiter therefore monitors market breadth, equity volatility, rates, and cross-market behavior for evidence that stress is spreading between markets. No single measure determines the portfolio's posture.
When broad conditions weaken sufficiently, deterministic controls can reduce market exposure and introduce limited hedging. When conditions normalize, recovery controls restore exposure. The process is systematic, condition-based, and reversible. It does not depend on predicting the exact market top or bottom.
We do not expect to avoid every decline. Some market moves will occur faster than the system can respond, and some defensive actions will appear unnecessary in hindsight. The objective is to participate less in severe, persistent deterioration and return to productive exposure as conditions improve.
Why losing less can produce more
The mathematics of compounding makes losses and gains asymmetric.
Consider two portfolios that both start with $100, gain 20% in Year 1, and gain 30% in Year 3. The only difference is the market decline between those gains: one portfolio loses 30% in Year 2, while the other loses 20%.
Scenario A - deeper decline
- Year 1: $100 gains 20% to become $120.
- Year 2: $120 loses 30% to become $84.
- Year 3: $84 gains 30% to become $109.20.
Ending value: $109.20
Scenario B - smaller decline
- Year 1: $100 gains 20% to become $120.
- Year 2: $120 loses 20% to become $96.
- Year 3: $96 gains 30% to become $124.80.
Ending value: $124.80
Both portfolios receive exactly the same gains. Reducing only the Year 2 loss by ten percentage points produces an ending value that is $15.60 higher. A 20% loss requires a 25% gain to recover. A 30% loss requires approximately 43%, and a 50% loss requires 100%.
This is a hypothetical arithmetic illustration, not an Arbiter result or projection. It holds the Year 3 gain identical in both scenarios. A defensive posture that reduces a drawdown may also reduce participation in the recovery, which is why recovery timing is evaluated alongside drawdown depth.
After a smaller drawdown, the next market advance is applied to a larger capital base. The portfolio spends less of the recovery rebuilding what was lost and more of it creating new wealth. This is why capital preservation is not separate from return generation.
Recovery is part of defense
A strategy can reduce a drawdown and still fail if it remains defensive for too long. We therefore evaluate both drawdown depth and recovery time.
The system must answer two questions: when has systemic risk increased enough to justify reducing exposure, and when has the environment improved enough to restore it? Both decisions are governed by observable conditions rather than discretionary forecasts.
What this framework does not promise
This approach does not guarantee protection during every decline, that future drawdowns will remain within their historical range, or that historical results will repeat. It does not eliminate company-specific, market, execution, or model risk.
A strong backtest can reflect overfitting, favorable assumptions, or selection after observing results. Robustness testing, parameter sensitivity, out-of-sample evidence, and prospective performance must therefore be evaluated separately.
The philosophy is narrower and practical: preserve more capital during severe market stress, participate in recovery, and seek additional return through disciplined company selection.
Important information
This article describes investment philosophy and mechanism. It is not investment advice, an offer, or a solicitation. Historical simulation is evidence, not proof. Future losses can exceed anything observed in historical experience.