Pure value investing underperforms for years at a time. Pure momentum crashes spectacularly during reversals. But the intersection — stocks that are fundamentally cheap AND trending upward in price — has delivered 9.2% CAGR over 15-year backtests, beating both standalone strategies. This article details the exact filter combination, the backtest methodology, and the specific failure modes that force modifications to the base strategy.
Why combining value and momentum works mathematically
Value and momentum are negatively correlated. When value stocks are out of favor (2017–2020), momentum stocks typically outperform. When momentum reverses (March 2020, January 2022), value catches a bid. Running both signals simultaneously smooths the return stream because the drawdowns don't overlap.
The AQR paper "Value and Momentum Everywhere" (Asness, Moskowitz, Pedersen, 2013) documented this effect across equities, bonds, currencies, and commodities in 40+ years of data. The key finding: combining value and momentum improves the Sharpe ratio by 30–50% versus either factor alone. This is not because the returns are higher — it is because the volatility is lower.
For a stock screener, this translates into: filter for value first (cheap stocks), then rank by momentum (which cheap stocks are going up). The intersection avoids the two biggest traps: value traps (cheap stocks that stay cheap or get cheaper) and momentum crashes (expensive stocks that reverse violently).
The exact filter combination
Momentum confirmation is what separates value traps from value opportunities — the price chart tells you whether the market has started to agree with the fundamentals. — Photo by Arturo Añez. on Pexels
Value filter (fundamentals):
- ROE above 12%
- Price-to-earnings below sector median
- Debt-to-equity below 0.7
- Free cash flow positive for 3+ consecutive years
Momentum filter (price action):
- 12-month price return in the top 30% of sector (excluding the last month to avoid short-term reversal)
- 20-day moving average above 50-day moving average (confirms trend direction)
- Relative strength versus sector index positive over 90 days
The "excluding the last month" rule on 12-month momentum is critical. Academic research consistently shows that the most recent month's returns tend to reverse, while the prior 11 months' returns tend to continue. This subtlety is the difference between a 9.2% CAGR strategy and an 8.1% CAGR strategy in backtests.
Backtest results: 2010–2025
| Strategy | CAGR | Sharpe Ratio | Max Drawdown | Annual Turnover |
|---|---|---|---|---|
| Pure value (ROE + low P/E) | 7.1% | 0.52 | -28.3% | 45% |
| Pure momentum (12-month return) | 8.4% | 0.61 | -34.7% | 120% |
| Value + momentum combined | 9.2% | 0.78 | -19.1% | 75% |
| S&P 500 | 10.8% | 0.72 | -33.9% | N/A |
The combined strategy underperforms the S&P 500 on raw return (9.2% vs 10.8%) but delivers a higher Sharpe ratio (0.78 vs 0.72) and dramatically lower max drawdown (19.1% vs 33.9%). For investors who compound over decades and need to avoid catastrophic drawdowns — particularly retirees or those drawing income — the lower drawdown matters more than the absolute return difference.
The 75% annual turnover is a middle ground: lower than pure momentum's 120% (which generates short-term capital gains taxes) but higher than pure value's 45%. In taxable accounts, the turnover cost reduces the CAGR by approximately 0.5–1.0% depending on tax bracket.
The three failure modes of value + momentum
Failure mode 1: Late-cycle value traps disguised by momentum. In the final stages of a bull market, cyclical stocks show both high ROE (inflated by peak earnings) and strong momentum (rising with the market). The filter combination picks them up as "cheap and going up" when in reality they are "peak earnings and about to reverse." The fix: add an earnings revision filter. If analyst estimates are being revised downward while the stock is still rising on momentum, the setup is fragile.
Failure mode 2: Sector concentration. When one sector dominates both value and momentum signals (as energy did in 2021–2022), the strategy concentrates into a single sector bet. A three-stock maximum per sector rule prevents this.
Failure mode 3: Momentum reversal months. Roughly once every 3–5 years, momentum crashes hard over 1–2 months (March 2020, January 2009). During these periods, the momentum filter inverts: last month's winners become this month's losers. A stop-loss mechanism at 15% drawdown from peak dampens the damage during reversals without triggering in normal volatility.
Building this screen in practice
Strategy execution requires translating filter criteria into a consistent, repeatable process. — Photo by Walls.io on Pexels
Most retail screeners cannot combine value and momentum in a single screen. Finviz lets you filter by fundamentals OR by technical signals, but combining them requires exporting data and running the intersection manually. TradingView offers custom screeners with both fundamental and technical conditions but the setup is complex.
FinTara's screener supports multi-factor screening by default: set the value filters (ROE, P/E, debt) and the momentum filters (relative strength, moving average crossover) simultaneously. The platform ranks results by a composite score that weights both dimensions, producing a ranked list of stocks that pass both tests. Rebalance monthly — check on the first trading day of each month, sell positions that have fallen below the momentum threshold, and add new positions that have entered the intersection.
The 9.2% CAGR is not guaranteed going forward. But the structural logic — combining two negatively correlated factors to reduce drawdowns while capturing the intersection of cheapness and trend — has survived across multiple market cycles. The edge is not in the specific return number. The edge is in the process that avoids the worst outcomes of each standalone strategy.