This research examines the price performance of key agricultural commodities across different phases of an El Niño event, providing a framework for identifying potential investment opportunities.
Phase Classification of El Niño Events
The Oceanic Niño Index (ONI) serves as the primary benchmark for event identification and phase delineation due to its direct correlation with historical market behavior. The analysis segments the event cycle into distinct periods, including a lag phase defined as the 1-6 months following the event's conclusion. A key criterion during this lag phase is monitoring whether the ONI reaches or falls below -0.5°C, the threshold indicative of a La Niña event.
Price Performance of Agricultural Commodities by El Niño Phase
CBOT Soybeans
Core findings indicate that CBOT soybeans primarily decline during the early warning and development phases of El Niño. The cycle presents two distinct windows for long positioning: the recession phase, with a positive monthly return probability of 60.5%, and the lag L6 phase when La Niña conditions emerge, boasting an 87.5% probability of positive returns.
The logic is as follows: During early warning and development, expectations for increased rainfall in key producing regions like the US Midwest, Argentina, and Southern Brazil lead to anticipatory trading of higher yields, pressuring prices. The recession phase sees a price recovery as these bearish expectations are digested, with potential for a rebound if actual yields fall short of overly pessimistic forecasts. The most pronounced bullish window occurs in the lag L6 phase if La Niña develops, as it brings drought to South American growing regions, threatening soybean supply—a complete reversal of the El Niño-driven "wet and增产" narrative.
DCE Soybean Meal
The performance of domestic Chinese soybean meal on the Dalian Commodity Exchange (DCE) lags behind that of international soybeans. It shows its weakest performance during the El Niño peak phase, begins to rise in the lag L1 phase, and reaches its most definitive bullish point during the lag L6 La Niña叠加 window, with a 100% historical probability of positive returns.
This pattern is driven by several factors. The peak phase coincides with strong South American harvest expectations and seasonally weak domestic feed demand in China post-Lunar New Year, creating significant downward pressure. A recovery begins in lag L1 as bearish news is exhausted and the market corrects from an oversold condition, with the price rebound in soybean meal lagging behind the initial stabilization in CBOT soybeans. The powerful rally in the lag L6 La Niña window is fueled by threats to the next South American crop. Notably, domestic soybean meal did not follow CBOT soybeans higher during the recession phase, highlighting the influence of local factors like crush margins, import arrival schedules, and downstream demand, creating a 3-4 month performance dislocation between the two markets.
DCE Soybean Oil
Domestic soybean oil shows muted performance during the core El Niño event period but excels in the lag phase, particularly during L4-L6 when La Niña conditions emerge. In the lag L6 La Niña window, it achieved a 100% historical success rate for positive returns.
During the peak El Niño phase, domestic bean oil did not track gains in international markets, likely due to a lag in the transmission of palm oil substitution logic and domestic policy influences. The bullish trend materializes in the lag phase as reduced palm oil production data becomes concrete, raising import costs for China, and as La Niña threats to soybean supply create a dual tailwind of rising demand and tightening feedstock.
BMD Crude Palm Oil
BMD crude palm oil is the classic vehicle for trading the "lagged 10-12 month production impact" of El Niño. Prices begin to move during the development and peak phases as the market anticipates future drought-induced supply shortfalls in Southeast Asia. The most concentrated bullish performance occurs in the lag L3-L4 phases as initial production data confirms these expectations. A correction is common in the lag L5 phase as the market enters a news vacuum after the initial data surge. The emergence of La Niña is generally neutral-to-bullish for palm oil, as subsequent rains aid long-term tree recovery without immediately reversing the established production deficit.
DCE Palm Oil
Domestic palm oil in China exhibits平淡 performance during the event but shows an extremely high historical success rate in the lag phase, particularly during L4-L6 La Niña windows. This is attributed to China's near-total import dependence, which causes domestic prices to directly reflect rising international costs, and concurrent strength in other domestic vegetable oils like soybean oil during these periods. It is important to note that the domestic futures contract has a shorter history, resulting in a smaller statistical sample size for these high-probability windows.
Key Risk Considerations
Historical statistical patterns indicate probabilities, not certainties. Each El Niño event differs in its triggers, evolution, and market focus. Investment decisions should be based primarily on prevailing fundamental conditions, using historical规律 as a reference benchmark rather than a rigid rule. If current conditions deviate significantly from historical assumptions, strategy should be adjusted dynamically.
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