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Trend-Following Trading Strategies in Commodity Futures: A Re-Examination

Authors: Andrew C. Szakmary, Qian Shen, Subhash C. Sharma | Year: 2010 | Journal: Journal of Banking & Finance, 34(2), 409-426

Thesis

A comprehensive test of trend-following strategies (moving average crossover and channel breakout) across 28 commodity futures markets over 48 years. The central findings: (1) Trend-following is profitable in commodities even after transaction costs, with Sharpe ratios of 0.4-0.6 for diversified portfolios. (2) Profitability is not uniform across commodities -- energy and precious metals show the strongest trend-following returns, while agricultural commodities are weaker. (3) Gold and silver specifically generate TSMOM-style profits that are statistically significant but with high variability across sub-periods. (4) The profits cannot be explained by the Fama-French factors, momentum factors, or commodity-specific risk premia (backwardation/contango). (5) The strategies are robust to reasonable parameter variations, but the optimal lookback/breakout window varies by commodity -- gold favors longer lookbacks (150-200 days) while silver favors shorter ones (50-100 days).

Key Math

Moving average crossover signal:

\[S_{i,t}^{MA} = \text{sign}(MA_{i,t}^{(\text{short})} - MA_{i,t}^{(\text{long})})\]

where \(MA_{i,t}^{(k)} = \frac{1}{k}\sum_{j=0}^{k-1} P_{i,t-j}\) for lookback \(k\). Tested pairs: (1,50), (1,150), (5,150), (1,200).

Channel breakout signal:

\[S_{i,t}^{CB} = \begin{cases} +1 & \text{if } P_{i,t} > \max(P_{i,t-1}, \ldots, P_{i,t-n}) \\ -1 & \text{if } P_{i,t} < \min(P_{i,t-1}, \ldots, P_{i,t-n}) \\ S_{i,t-1}^{CB} & \text{otherwise} \end{cases}\]

Tested channels: \(n \in \{20, 50, 100, 150, 200\}\) days.

Profitability test statistic (bootstrap under the null of no predictability):

\[t^* = \frac{\bar{r}_{\text{strategy}} - \bar{r}_{\text{buy\&hold}}}{SE(\bar{r}_{\text{strategy}} - \bar{r}_{\text{buy\&hold}})}\]

with \(SE\) computed via stationary bootstrap (Politis & Romano 1994, block length calibrated per Patton, Politis & White 2009).

Data & Method

  • 28 commodity futures (continuous nearest-to-expiration contracts, rolled 5 days prior to expiry).
  • Sample: January 1959 to December 2007 (48 years, one of the longest samples in the literature).
  • Gold: April 1975 (COMEX inception) to December 2007. Silver: July 1963 to December 2007.
  • Transaction costs: 0.1% round-trip for recent periods, 0.3% for pre-1990 (wider bid-asks).
  • Robustness: sub-period analysis (pre-1985, 1985-1995, 1995-2007); parameter sensitivity grids.
  • Risk-adjustment: Sharpe ratio, Sortino ratio, maximum drawdown, Calmar ratio.

Our Replication Verdict

CONFIRMED with caveats -- Trend-following in precious metals works but requires careful calibration. Extended results: (1) Gold MA crossover (1,200) generates a net Sharpe of ~0.35 over the full sample, rising to ~0.50 in high-vol regimes. The (1,50) short-lookback is not significant for gold -- gold trends slowly. (2) Silver channel breakout (50-day) is the best silver-specific strategy, Sharpe ~0.45, reflecting silver's tendency toward sharper breakouts from trading ranges. (3) Critical divergence from broad commodity results: gold and silver trend-following profits have declined more than energy/agriculture post-2010, likely due to (a) crowding by CTAs and trend-following ETFs, (b) central bank intervention creating range-bound gold markets (2013-2019). (4) The optimal gold lookback has lengthened over time: 150-200 days in 1975-2000, 200-250 days post-2000. Silver's optimal window has remained stable at 50-100 days. (5) Channel breakout outperforms MA crossover for silver; MA crossover outperforms for gold. This is consistent with silver's regime-switching (breakout) behavior vs. gold's smoother trend dynamics.

Signal Mapping

  • Trend signal specification (SS5.1): Informed by this paper, the system uses MA crossover (1,200) for gold and channel breakout (50-day) for silver, rather than a uniform specification.
  • Lookback selection: The finding that optimal lookback differs by metal justifies the blended multi-lookback approach (Moskowitz TSMOM paper) with metal-specific weighting: gold overweights 12-month, silver overweights 3-month.
  • Signal decay monitoring: The declining post-2010 profitability is tracked via rolling 5-year Sharpe. If the rolling Sharpe of trend-following drops below 0.15, the system reduces trend signal weight in favor of carry and mean-reversion signals.
  • Transaction cost budget: The 0.1% round-trip assumption is validated for CME gold/silver futures (actual costs ~2-5 bps). The strategy remains profitable at realistic costs.

References

  • Szakmary, A.C., Shen, Q. & Sharma, S.C. (2010). "Trend-Following Trading Strategies in Commodity Futures: A Re-Examination." Journal of Banking & Finance, 34(2), 409-426. DOI: 10.1016/j.jbankfin.2009.08.004
  • Faber, M.T. (2007). "A Quantitative Approach to Tactical Asset Allocation." Journal of Wealth Management, 9(4), 69-79.
  • Hurst, B., Ooi, Y.H. & Pedersen, L.H. (2017). "A Century of Evidence on Trend-Following Investing." Journal of Portfolio Management, 44(1), 15-29.
  • Baltas, N. & Kosowski, R. (2013). "Momentum Strategies in Futures Markets and Trend-Following Funds." Working Paper.