Concentration Risk
Learn how asset, sector, strategy, venue, collateral and infrastructure concentration can create single points of failure even in portfolios with many positions.
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Concentration risk arises when too much portfolio value or risk depends on one asset, theme, strategy, counterparty or infrastructure component, so a single adverse event can dominate total performance.
Learning objectives
- Measure concentration by capital and by risk contribution.
- Identify hidden infrastructure and collateral concentrations.
- Use hard caps and scenario loss to control single-point-of-failure exposure.
What it is
Capital concentration measures how much money is allocated to a component. Risk concentration asks how much of potential loss comes from that component. A small volatile altcoin can contribute more risk than a larger BTC holding.
Crypto adds non-traditional concentration dimensions: exchange custody, smart-contract admin keys, bridge infrastructure, stablecoin issuers, oracle networks and base-layer chains.
A portfolio can therefore be diversified by ticker yet concentrated by dependency.
How it works
Single-name concentration is the obvious case: 60% of equity in one token. Sector concentration is subtler: several liquid-staking or AI tokens may share the same narrative and liquidity cycle.
Counterparty concentration exists when assets, collateral and derivatives all rely on one venue. If withdrawals freeze, otherwise hedged positions may become inaccessible.
Risk contribution depends on volatility and correlation. A 10% position in a highly volatile, highly correlated token can matter more than a 25% position in a lower-volatility asset.
Concentration limits should be paired with scenario losses: what would happen if the largest issuer, venue, chain or collateral asset suffered an immediate severe impairment?
How to analyse and apply it
| Check | Why it matters | What to verify |
|---|---|---|
| Asset weight | Finds single-name dependence. | Cap by liquidity and risk class. |
| Sector/theme weight | Finds narrative concentration. | Aggregate economically similar tokens. |
| Venue/custody weight | Finds operational single points. | Include idle cash and collateral. |
| Infrastructure dependency | Finds hidden common failure. | Map chains, bridges, oracles and stablecoins. |
Risk rules should be written before a live position is opened and evaluated across many trades or scenarios. A control that is changed only after losses appear is discretionary damage control, not a repeatable risk system.
Worked example and thought exercise
A portfolio holds 20 tokens, none above 8% of equity. At first glance it looks diversified. But 70% of the portfolio is on one exchange, 60% uses the same stablecoin as collateral and 50% consists of high-beta DeFi tokens. A single venue freeze or stablecoin event could dominate losses.
A second portfolio holds 45% BTC, 20% cash/stable assets across separate custodians and smaller independent strategies. It has fewer tickers but may have fewer critical single points of failure.
Thought exercise: which portfolio is more concentrated—the one with fewer assets or the one with more shared dependencies?
Common mistakes and practical workflow
- Counting the number of holdings instead of mapping common dependencies.
- Using capital weight alone and ignoring risk contribution.
- Ignoring idle collateral and cash at a venue.
- Allowing several strategies to concentrate on the same market regime.
Practical workflow
- List exposures by asset and sector.
- Map venue, stablecoin, chain, bridge and oracle dependencies.
- Estimate risk or scenario-loss contribution for each cluster.
- Apply hard caps to critical concentrations.
- Diversify or reduce positions where one failure could dominate portfolio loss.
✅ Knowledge checkpoint
- Why can a 10% position contribute more risk than a 25% position?
- What crypto-specific dependencies can create hidden concentration?
- Why is ticker count a poor diversification metric?
- What scenario should be run for the largest counterparty concentration?
FAQs
❓ Is a concentrated portfolio always bad?
Not necessarily. Concentration can be intentional, but the potential loss and dependency should be explicit and sized to the investor's risk capacity.
❓ How is concentration different from correlation?
Correlation describes co-movement; concentration measures how much depends on a component or common risk. They often interact.
❓ Does self-custody remove concentration risk?
It can reduce exchange concentration but may increase key-management or single-wallet operational concentration if not designed carefully.
❓ Should concentration caps be equal across assets?
No. Liquidity, volatility, counterparty quality and failure severity can justify different limits.
📋 Summary
Concentration risk is about dominance of one failure mode, not merely the number of holdings. Effective control requires mapping assets, sectors, counterparties and infrastructure, then limiting both capital weight and stress-loss contribution.
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