Time-Series Momentum
Markets often continue in the direction of their own medium-term trend, while broad diversification can reduce dependence on any one asset class.
Eight systematic strategies, translated from published evidence into implementable rules, hidden assumptions and explicit failure conditions.
Grades summarize breadth and reproducibility of evidence—not expected return. Retail feasibility separately reflects data, instruments, leverage, shorting and trading burden.
Markets often continue in the direction of their own medium-term trend, while broad diversification can reduce dependence on any one asset class.
Assets that outperformed their peers over the intermediate past have often continued to outperform over a shorter subsequent horizon.
Relatively cheap assets may embed excessive pessimism or compensation for bearing risks that expensive assets do not.
Profitable, conservatively financed companies with disciplined capital allocation may be underpriced relative to weaker businesses.
Combining imperfect signals can reduce reliance on a single market regime, provided the signals are genuinely distinct and implementation costs are controlled.
Assets offering higher carry have historically earned higher average returns, partly as compensation for losses in stressed funding environments.
Leverage-constrained investors may overpay for high-beta assets, leaving lower risk-adjusted returns than in levered low-beta portfolios.
Temporarily diverging prices of economically related securities may converge when the deviation is caused by transitory order flow rather than new information.
| Strategy | Evidence | Retail | Cadence | Primary failure mode |
|---|---|---|---|---|
| Time-Series Momentum | A | A- | Weekly to monthly | Sideways markets can create repeated whipsaws. Leverage, futures rolls, gap risk and rising correlations can turn a smooth backtest into a materially rougher live result. |
| Cross-Sectional Momentum | A- | B | Monthly | Momentum can suffer abrupt losses when beaten-down assets rebound. Crowding, turnover, taxes, bid-ask spreads and short availability can consume a large share of the historical premium. |
| Value | A- | B+ | Monthly to quarterly | Cheap assets can remain cheap for years or be cheap for valid reasons. Structural change, intangible assets, leverage and distressed firms can create value traps. |
| Quality / Profitability | A- | B+ | Monthly to quarterly | The factor can become crowded, and accounting measures can be stale or manipulated. Paying any price for quality can turn a sound company thesis into a poor investment outcome. |
| Value + Momentum + Quality | A | B+ | Monthly | A combination can hide correlated exposures and multiple-testing choices. Signal crowding, changing accounting coverage and unnecessary trading can erase the apparent diversification benefit. |
| Cross-Asset Carry | A- | C+ | Monthly | Carry can accumulate small gains and then experience sharp losses during recessions, liquidity shocks or rapid policy changes. Derivative complexity and funding constraints raise operational risk. |
| Betting Against Beta | B | C | Monthly | Funding costs can rise exactly when leverage is least available. Short squeezes, beta instability, deleveraging and construction choices can dominate the theoretical premium. |
| Distance Pairs Trading | B- | C+ | Daily | A divergence may reflect permanent information rather than temporary mispricing. Correlations can break, one leg can become hard to borrow, and crowded exits can amplify losses. |
Turn a risk target and a volatility estimate into an exposure rule, then audit the lag, leverage cap, rebalance threshold and transaction costs.