Academic audit
Asset Class Trend-Following
Faber's tactical asset-allocation rule applies a simple time-series trend filter (hold when price is above its long moving average, step aside when below) to reduce drawdowns in a broad portfolio. In this audit we tested the time-series trend rule as a proxy on SPY only.
What we found
On this SPY proxy the rule did not add value: passive buy-and-hold beat it by roughly four times, and its worst year had a negative risk-adjusted result (worst-year RF -1.0). What remains is reduced market exposure and timing rather than genuine alpha. We also did not fully port the original multi-asset-class version, so this is a partial, single-instrument read of the idea and not a verdict on the full portfolio construction from the paper.
- Data: the index (e.g. SPY), daily, over the modern test window. Realistic modelled costs.
- Placebo / robustness test: real result vs random baskets or shuffled signals (real vs the 95th percentile of random)
Read the paper ↗
Research, not investment advice. “Validated” factor-legs are market-neutral diversifying building blocks with a losing worst year — none is a standalone tradeable strategy. Metrics are cost-aware and modelled (not live fills); the 2005–2026 test window is out-of-sample versus the source paper. Dollar figures are not returns and are omitted by design.