Maintaining target asset allocations is crucial for balancing risk in a crypto portfolio. Rebalancing strategies aim to keep weightings aligned as prices fluctuate. Time-weighted rebalancing is one method investors use to periodically rebalance based on set schedules.
What is Time-Weighted Rebalancing?
With time-weighted rebalancing, a crypto portfolio is reset to its target asset allocation ratios on fixed predetermined dates.
For example, an investor may rebalance quarterly, monthly, or weekly to get their holdings back to specified percentages. If Bitcoin has surged and become overweighted, they sell some for altcoins that have become underweighted.
These rebalances happen per a fixed calendar schedule rather than being triggered by price movements in the market. The intervals tend to be regular periods like 90 days, 30 days, etc.
Examples of Time-Weighted Cryptocurrency Trades
Here are some simplified examples of time-weighted rebalancing trades for a crypto portfolio:
Portfolio Target: 50% BTC, 50% ETH.
Current: 65% BTC, 35% ETH.
- Sell BTC until 50% of portfolio value.
- Buy ETH with proceeds until 50% of portfolio value
Portfolio Target: 60% BTC, 20% ETH, 10% SOL, 10% DOT.
Current: 80% BTC, 15% ETH, 5% SOL, 5% DOT.
- Sell BTC down to 60% of total portfolio value.
- Buy ETH with 25% of BTC proceeds until 20% portfolio.
- Buy SOL with 10% of BTC proceeds until 10% portfolio.
- Buy DOT with remaining BTC proceeds until 10% portfolio.
Portfolio Target: 70% Top 10 coins, 30% Small caps.
Current: 80% Top 10 coins, 20% Small caps.
- Sell excess top 10 coins until 70% of portfolio.
- Use proceeds to purchase additional small caps until 30% of portfolio.
This demonstrates how assets are bought and sold on fixed schedules to maintain target portfolio weightings.
Potential Benefits of Strategy
Some potential advantages of scheduled time-weighted rebalancing include:
- Maintains targets — Forces portfolio back to model ratios periodically without reliance on discretion.
- Buy low, sell high — Rebalancing sells assets that have outperformed to buy those that have declined.
- Disciplined approach — Calendar rebalancing imposes consistency without emotional market timing.
- Automatable — Timed rebalances are easy to schedule automatically rather than requiring manual intervention.
- Stem overreaction — Prevents inertia from allowing some assets to become overly concentrated due to strong momentum.
- Reassess composition — The forced periodic overhaul allows reevaluating asset choices.
Some possible disadvantages or risks include:
- Transaction costs — Portfolio may incur fees like trading spreads and taxes more frequently.
- Market timing — Arbitrary rebalance dates may force selling assets right before further upside or buying before more downside.
- False precision — No schedule will perfectly align rebalances with ideal market entry and exit points.
- Underperformance — Assets rotated out of may continue to strongly outperform for a prolonged period.
- Overcompensation — Strict calendar rebalances could whipsaw allocations in volatile, trending markets.
- Inflexibility — Locks manager into set schedules without ability to exercise discretion.
Ways to optimize time-weighted rebalancing include:
- Set rebalance thresholds (e.g. 10% deviation) so rebalancing only occurs if allocations stray beyond bands.
- Use wide rebalance bands to allow variance and reduce transaction churn and costs.
- Consider tax impacts if rebalancing in a non tax-advantaged account.
- Schedule rebalances after major distribution events like Bitcoin halvings when volatility may be higher.
- Reinvest proceeds proportionally across assets rather than distributing back to cash.
Time-weighted rebalancing offers structured maintenance of target crypto portfolio allocations. But rigid scheduling risks mismatches with ideal market entry and exit points. Blending time-based rebalancing with volatility-based bands or discretion may optimize the benefits while minimizing downsides like taxation and whipsaws. Investors should consider their strategy, objectives, and costs before adopting a strict time-weighted rebalancing approach.