Beta neutral is an allocation method that holds a long book and a short book at once, sized so the strategy's overall beta — its sensitivity to a benchmark — lands on a target you set. At 0.00 the two sides' market sensitivities cancel, so the outcome depends on the longs against the shorts, not on the market's direction.
Also seen as: market-neutral, beta-hedged book, beta hedging, long/short market-neutral
What is beta measured against?
Beta is measured against the Benchmark instrument you pick inside the method, not against a fixed market index. The app states it directly: "The portfolio's beta is computed against this instrument." Change that instrument and every beta in the calculation changes with it, along with what "neutral" means for the strategy. Choosing one is required — with none chosen, the app shows "Select a benchmark instrument", with the note "Required for Beta neutral".
How does Fincanva handle it?
Included from Advanced upwards. See what each plan includes.
- It is a single-strategy method: a Combined splits capital across whole strategies rather than building a long-and-short book of instruments, so it does not offer it.
- There is no default benchmark instrument: you must choose one before the strategy will run.
- Two separate windows are in play: the calculation window (In-sample) feeds the beta estimates, and the Ranking window feeds the ranking signal. Both default to 12 months and are set independently.
- The books are rebuilt at every rebalance, because both the rankings and the beta estimates are re-read from the window ending at that date.
How does a target beta of zero work?
A portfolio's beta is the weighted sum of its holdings' betas, where a short position carries a negative weight; setting a target beta means choosing weights whose weighted sum equals that target, and neutrality is the case where it equals zero.
- the strategy's overall beta
- the weight of position i — positive for a long, negative for a short
- that instrument's own beta against the chosen benchmark
The part that surprises people is that equal long and short exposure does not give a beta of zero. Neutrality depends on the betas, not on the money: shorting the same amount you are long only cancels out if both sides have the same average beta. When the two sides have different betas, the two books have to be different sizes.
Which settings does Beta neutral have?
| Control | What you set | Starts on |
|---|---|---|
| Benchmark instrument | what beta is measured against (required) | none |
| Target beta | from −2 to 2: "0.00 = market-neutral. Positive = net long exposure; negative = net short exposure." | 0.00 |
| Use adjusted beta | pulls each beta estimate part of the way toward 1.0 before the books are sized | on |
| Position side | Long-only, Long/short or Short-only: "Long-only and Short-only relax the neutral constraint to a single-sided book." | Long-only |
| Instruments to use | 2 to 100: "Total long + short positions held at any time." | 10 |
| Ranking direction | "Standard goes long the top-ranked instruments and short the bottom. Contrarian inverts." | Standard |
| Ranking metric | Price Change, Average Momentum, Volatility, Sharpe ratio or P/E Ratio — each described in Ranking-based | Price Change |
| Ranking window | months the metric reads — "distinct from the Calculation window above, which controls the beta-estimation window"; with Volatility, a choice of 1, 2, 3, 6, 12, 18 or 24 months, the only lengths the engine accepts (window lengths) | 12 months |
With adjusted beta on, an extreme fitted beta is treated as part noise: a raw 1.8 counts as something nearer 1.5, a raw 0.2 as nearer 0.5. The gap between the two sides' average betas narrows, so the books come out closer in size; off, the raw estimates are used as fitted, spread and all.
What does it look like in practice?
A strategy is set to hold 4 positions with a target beta of 0.00. Its two highest-ranked instruments have betas of 1.4 and 1.2, an average of 1.30; its two lowest-ranked have betas of 0.5 and 0.4, an average of 0.65.
Equal books would not be neutral: 50% long at beta 1.30 and 50% short at beta 0.65 leaves a beta of (0.5 × 1.30) − (0.5 × 0.65) = +0.325, still meaningfully exposed to the market. Because the long side's average beta is twice the short side's, the short book has to be twice the size of the long book:
- long book = one third of the exposure: (1/3) × 1.30 = 0.433
- short book = two thirds of the exposure: (2/3) × 0.65 = 0.433
- net beta = 0.433 − 0.433 = 0.00
The same arithmetic run with a target of +0.5 rather than 0.00 leaves a deliberate slice of market exposure in place, which is what a positive target beta means.
What does a beta-neutral strategy still risk?
Neutralising beta removes sensitivity to the chosen benchmark; it does not remove risk. The strategy still carries whatever is left after the market factor is stripped out — the relative performance of its longs against its shorts, the residual return alpha names — and shorting brings its own costs, since a short position accrues a borrowing charge whenever cost assumptions are switched on — see Interest-rate markups. Beta is also an estimate from a historical window, so a strategy that was neutral on the estimation window will not be exactly neutral going forward.
Fincanva describes how this method works; it does not recommend it or any target beta.