Trend Following & Time-Series Momentum.
Systematic long/short positioning in the direction of recent price trends across futures and forwards — the oldest and most widely allocated systematic premium.
Definition
Trend following — time-series momentum in the academic literature — takes long positions in assets that have been rising and short positions in assets that have been falling, typically across a diversified universe of equity index, bond, currency, and commodity futures. The rule is mechanical: measure the trailing return or a moving-average crossover over lookback windows (commonly 1–12 months), size positions inversely to volatility, and rebalance on a fixed schedule.
Why the premium is believed to exist
The canonical explanations are behavioral and structural: investors initially underreact to news and later herd into established moves, while non-profit-seeking flows (hedgers, central banks) create persistent price pressure. The empirical record is unusually long — studies have documented time-series momentum across a century of futures data and dozens of markets — which is why trend is often treated as the anchor allocation of an alternative risk premia portfolio.
How dealers package it
QIS desks deliver trend as investable indices or swaps referencing a documented rulebook: universe, signal construction, volatility targeting (commonly 8–12% annualized), and roll methodology are all specified in advance. Variants include faster "intraday momentum" strategies — an area JPMorgan has highlighted among its high-conviction offerings — and single-asset or sector-restricted sleeves.
Behavior and role in a portfolio
Trend is prized less for its standalone Sharpe ratio than for its convexity profile: sustained bear markets tend to establish persistent downtrends that a trend system can ride short, producing the "crisis alpha" documented in 2008 and 2022. The cost is whipsaw — sharp reversals, as in the V-shaped recovery of 2020 or the April 2025 tariff shock, mark the strategy's worst environments.
Key risks and governance notes
- Whipsaw / reversal risk: rapid regime flips generate losses on both sides of the move.
- Crowding: large managed-futures and QIS notionals in the same signals can amplify unwinds.
- Parameter risk: lookback and vol-target choices materially change results; backtest overfitting is the classic failure. See pre-deployment validation.
This page is an educational reference describing publicly documented strategy structures. It is not investment advice, a recommendation, or an offer of any product. Institutional references summarize the cited firms' own public materials (Risk.net, JPMorgan, Deutsche Bank, RBC Capital Markets, GSAM) and imply no affiliation.