Strategy #0000000111 · Factors and time-series momentum
Factor momentum
Enter trailing and next-period returns for three factors plus costs to inspect normalised long-short weights.
Factor momentum uses each factor’s own recent return to set its holding direction: recent winners remain long and losers short. It differs from stock momentum; factor correlation, lookback, rebalancing and costs matter. Research finds factor time-series persistence can explain part of stock momentum, without guaranteeing future continuation.
No factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted.
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 do trailing factor directions form long-short weights?
Factor momentum uses each factor’s own recent return to set its holding direction: recent winners remain long and losers short. It differs from stock momentum; factor correlation, lookback, rebalancing and costs matter. Research finds factor time-series persistence can explain part of stock momentum, without guaranteeing future continuation.
Enter trailing and next-period returns for three factors plus costs to inspect normalised long-short weights.
No factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted.
- Input assumptionsEnter trailing and next-period returns for three factors plus costs to inspect normalised long-short weights.
- Model outputNo factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
w_{k,t}\propto sign(\sum_{j=1}^{12}r_{k,t-j})
Entered trailing factor returns set direction only; next-period factor returns are separate assumptions.
Greeks: the directional intuition
- 模型
- Measures sensitivity to implied volatility.
- 樣本
- Measures sensitivity to implied volatility.
- 執行
- Measures sensitivity to implied volatility.
w_{k,t}\propto sign(\sum_{j=1}^{12}r_{k,t-j})
Practical context · published observations
Factor momentum: 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 factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted. 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
Model definitions, data splits and implementation costs affect results.
Compare methodology and execution assumptions.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Base scenario | Manual inputs | Factor momentum uses each factor’s own recent return to set its holding direction: recent winners remain long and losers short. It differs from stock momentum; factor correlation, lookback, rebalancing and costs matter. Research finds factor time-series persistence can explain part of stock momentum, without guaranteeing future continuation. | No factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted. |
| Conservative version | Lower risk | Raise cost assumptions and cap exposure or search space. | May reduce model adaptability. |
| Validation version | Out-of-sample test | Freeze rules before evaluating untouched data. | Needs more data and governance. |
No factor return history or live long-short portfolio is loaded; risk models and capacity limits are omitted.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.