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Summary of BNP Paribas Commodity Momentum Strategy (BNP-TIF)

Core Content

BNP Paribas has introduced a new commodity momentum strategy called BNPP-TIF, which complements existing models like MarFA™ and the multi-factor model. The strategy focuses on seven commodity futures: gold, WTI crude oil, Brent crude oil, copper, nickel, zinc, and aluminium. It uses a trend-based approach, buying commodities that have shown strong recent performance and selling those that have underperformed.

The strategy is based on logistic regression to model the probability of a commodity being in a bull or bear trend. It uses weekly returns and macroeconomic/financial indicators as explanatory variables to determine the trend direction. The model is updated every Friday, and it is designed to minimize transaction costs by focusing on liquid contracts with nearby maturities.

Main Points

• Performance: Since 2007, BNPP-TIF has generated an average annual return of 20.5% (with a hit ratio of 55%), significantly outperforming the long-only equally-weighted portfolio (0.75% per year).
• Back-test Results: The consolidated back-test results show an average cumulative return of 224.8% since 2007, equivalent to 20.7% per year.
• Model Structure: The model identifies bull and bear trends using a binary (0-1) vector for each commodity. The thresholds for entering and exiting positions vary by commodity:
  • Gold: Bull at >75%, Bear at <25%
  • Base Metals (Aluminium, Copper, Nickel, Zinc): Bull at >60%, Bear at <40%
  • Energy (WTI, Brent): Bull at >67%, Bear at <33%
• Trading Rules:
  • A 5% stop-loss and 15% take-profit are implemented.
  • Positions are closed when the probability of the trend reverses.
• Trend Analysis: The strategy is designed to capture strong serial correlation in commodity returns, as opposed to contrarian strategies that bet on deviations from a central value.

Key Information

• BNPP-TIF is a trend-following strategy that has shown historical profitability and outperformance against benchmarks.
• The strategy is based on logistic regression and incorporates seven explanatory variables that are statistically significant at the 5% level.
• Macro indicators used include:
  • US and China economic surprises
  • US dollar broad index
  • UST slope (2s10s and 2s5s)
  • Interest rates and swap breakeven
  • Crude oil inventories and storage
  • Oil rig counts and Baltic dry index
• The strategy is non-linear and is evaluated using the Treynor-Mazuy model to test for market timing ability. The results indicate a positive market timing measure (γ > 0), suggesting the model is effective at capturing market trends.
• The strategy is allocated USD 2 million per asset (total USD 14 million), and it is updated weekly with a semi-annual recalibration protocol.

Commodity-Specific Performance

Strategy Advantages

• High hit ratio: Over 55% of trades are profitable.
• Low trade frequency: On average, ~9 trades per year per commodity.
• Outperforms benchmarks: Both on an individual and portfolio basis.
• Trend insight: The model provides three key outputs:
  • The price trend (bull or bear)
  • The strength of the trend (0–1)
  • The probability of the trend continuing
• Conditional analysis: The model allows for scenario analysis, such as the price change needed to switch from bull to bear or vice versa.

Implementation Details

• The model is updated every Friday and recalibrated every 6 months.
• New and closed trades are reported when the model triggers.
• The strategy is liquid and cost-efficient, avoiding short-selling restrictions and focusing on nearby maturities.
• The same methodology will be applied to EM FX and credit in the future.

Legal and Contact Information

• This document is non-independent research and is not investment research under MiFID II.
• It may be subject to conflicts of interest due to interactions with sales and trading teams.
• Contact Details:
  • Gabriel Gersztein: +55 11 3841 3421 | gabriel.gersztein@br.bnpparibas.com
  • Gustavo Mendonca: +55 11 3841 3445 | gustavo.mendonca@br.bnpparibas.com
  • Samuel Castro: +55 11 3841 3492 | samuel.castro@br.bnpparibas.com
  • Robert McAdie: +44 20 7595 8885 | robert.mcadie@uk.bnpparibas.com
  • Michael Sneyd: +44 20 7595 1307 | michael.sneyd@uk.bnpparibas.com

Conclusion

BNPP-TIF is a robust momentum strategy that has demonstrated historical profitability and effective trend identification. It is a tactical asset allocation tool that leverages commodity price trends, macroeconomic indicators, and financial data to generate positive returns while minimizing transaction costs. The strategy is data-driven, dynamic, and well-documented, offering a clear framework for commodity investment.