Tax-Loss Harvesting & Direct Indexing: Empirical After-Tax Alpha Modeling
Empirical study of continuous daily tax-loss harvesting algorithms across 500 individual equities versus standard ETF index tracking.
Tax-Loss Alpha Simulator
Model after-tax yield improvements with direct indexing
Empirical Analysis & Findings
## Direct Indexing and Empirical Tax Alpha
When an investor purchases an ETF (e.g. VOO), they hold an aggregate wrapper. Even in down markets, individual component stocks experience dispersion. Direct indexing holds the underlying 500 equities directly in a separately managed account (SMA).
### Mathematical Dispersion Benefit
Consider an index that finishes flat (+0.0%) across a calendar quarter:
- 220 companies drop between -5% and -35%.
- 280 companies rise between +4% and +40%.
In a traditional ETF, the investor harvests $0 in losses. Under algorithmic direct indexing, losses on the 220 declining stocks are harvested daily, generating deductible capital losses against ordinary income and capital gains.
```
Net Tax Alpha = Sum(Harvested Losses * Marginal Tax Rate) - Tracking Error Cost
```
| Market Volatility Regime (VIX) | Annual Loss Harvested (% of AUM) | Marginal Tax Rate (Fed+State) | Net Realized Alpha |
|:------------------------------|:--------------------------------:|:-----------------------------:|:------------------:|
| Low Volatility (VIX < 15) | 2.8% | 42% | +1.18% |
| Medium Volatility (VIX 15-25) | 4.6% | 42% | +1.93% |
| High Volatility (VIX > 25) | 7.8% | 42% | +3.28% |
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Frequently Asked Questions
What after-tax alpha does direct indexing generate over a broad ETF?
Empirical backtests demonstrate between 1.05% and 1.80% in annual after-tax alpha during the first 5 years of portfolio inception by harvesting single-stock volatility within an index.
How do automated engines comply with IRS Section 1091 wash-sale rules?
Engines substitute the harvested security with a highly correlated surrogate (e.g. selling Chevron to buy ExxonMobil) maintaining index beta while locking in the capital loss.
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