Strategy #0000000150 · Hedging and risk management
Naive 1/N equal-weight allocation
Enter three asset returns, cap-weight benchmark weights and equal-weight rebalance cost.
The 1/N rule assigns equal weight to each asset without estimating expected returns, volatility or covariance. It has beaten complex optimisers in some out-of-sample comparisons, but not across every asset set, period or cost level. This simulation compares equal-weight and entered cap-weight returns for three assets, less rebalance costs; it does not estimate risk-adjusted performance.
No risk, covariance, taxes or full rebalancing policy are estimated.
Three ways in
Understand the story. Then inspect the risk.
Start with a familiar situation, check the payoff, then test how the numbers change.
The idea · in two minutes
How does equal weighting compare with entered market-cap weights on the same returns?
The 1/N rule assigns equal weight to each asset without estimating expected returns, volatility or covariance. It has beaten complex optimisers in some out-of-sample comparisons, but not across every asset set, period or cost level. This simulation compares equal-weight and entered cap-weight returns for three assets, less rebalance costs; it does not estimate risk-adjusted performance.
Enter three asset returns, cap-weight benchmark weights and equal-weight rebalance cost.
No risk, covariance, taxes or full rebalancing policy are estimated.
- Input assumptionsEnter three asset returns, cap-weight benchmark weights and equal-weight rebalance cost.
- Model outputNo risk, covariance, taxes or full rebalancing policy are estimated.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
w_i=1/N,\quad R_{1/N}=\frac{1}{N}\sum_i r_i
Constituents, returns and benchmark weights are user inputs; the equal-weight portfolio is held from period start to end.
Greeks: the directional intuition
- 模型
- Measures sensitivity to implied volatility.
- 合約
- Measures sensitivity to implied volatility.
- 執行
- Measures sensitivity to implied volatility.
w_i=1/N,\quad R_{1/N}=\frac{1}{N}\sum_i r_i
Practical context · published observations
Naive 1/N equal-weight allocation: read the record with its caveats.
The chart uses the published figures or explicitly labelled study inputs below. A historical index or model replay is not the same as an investor’s realised account return.
No risk, covariance, taxes or full rebalancing policy are estimated. Source ↗ · Methodology ↗
Change assumptions and inspect the scenario
Inputs illustrate the strategy mechanics; they are not live quotes, forecasts or investment advice.
Variants · same family, different risk levers
Models, contract terms and implementation can change results.
Compare relevant mechanisms and execution assumptions.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Base scenario | Manual inputs | The 1/N rule assigns equal weight to each asset without estimating expected returns, volatility or covariance. It has beaten complex optimisers in some out-of-sample comparisons, but not across every asset set, period or cost level. This simulation compares equal-weight and entered cap-weight returns for three assets, less rebalance costs; it does not estimate risk-adjusted performance. | No risk, covariance, taxes or full rebalancing policy are estimated. |
| Conservative version | Higher cost/loss | Stress higher costs, larger losses or lower liquidity. | May lower scenario returns. |
| Validation version | Data review | Test model inputs with consistent contracts and timestamps. | Needs licensed, representative data. |
No risk, covariance, taxes or full rebalancing policy are estimated.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.