Charles-Henry Monchau

Chief Investment Officer

Introduction

Earlier this month, the National Oceanic and Atmospheric Administration confirmed that El Niño conditions had formed over the Pacific Ocean. Early forecasts suggest this could become one of the most powerful events in decades, with consequences that may reach far beyond weather.

 

El Niño is a natural climate pattern that occurs every few years when trade winds over the tropical Pacific weaken. Warm surface water, normally pushed toward Asia and Oceania, shifts back toward the Americas. That movement changes rainfall patterns around the world, often bringing heavier precipitation to parts of the Americas and hotter, drier conditions to regions such as South and Southeast Asia, Australia and Southern Africa. Droughts, heatwaves or excess rainfall can disrupt planting, damage harvests and strain food supply chains. After an inflation cycle dominated by energy, the next supply-side shock could come from food.

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A powerful El Niño is forming

El Niño belongs to a natural climate cycle in the Pacific Ocean, known as the El Niño–Southern Oscillation, or ENSO. In some years, the Pacific becomes cooler than usual. This phase is called La Niña. In other years, the same region becomes warmer than usual. This warmer phase is called El Niño. This cycle usually appears every two to seven years and can last between nine and twelve months.

Forecasts suggest the emerging El Niño could become one of the strongest on record. The National Oceanic and Atmospheric Administration (NOAA) estimates an 88% chance of a strong event and a 63% chance of a very strong event by late 2026, with peak intensity expected around the turn of the year. If realised, it could trigger weather disruptions, agricultural losses, commodity market volatility and renewed pressure on global food supply chains.


Macroeconomic transmission

The macroeconomic impact of El Niño has been studied and measured. The main channel runs through commodities, especially food. Central-bank and academic research broadly points in the same direction. ENSO cycles have historically influenced commodity-price inflation.

Federal Reserve research suggests that close to 20% of commodity-price inflation movements can be linked to the ENSO cycle. A typical El Niño can lift real commodity-price inflation by roughly 3% over a six-to-twelve-month period, with food commodities carrying most of the impact. Cashin, Mohaddes and Raissi extend the evidence, estimating an increase of about 5% in global non-energy commodity prices, lasting between six and sixteen months.

Weather disruption can reduce harvests, lower crop quality, delay logistics and tighten physical supply. Prices react first in agricultural markets. Once higher input costs move through food supply chains and consumer prices, inflation data follows. Higher food inflation can also weaken currencies, raise imported inflation and limit the room for central banks to cut rates.

Source: IMF

Two patterns are important. First, the growth impact varies sharply by country. Australia, India, Indonesia, Chile, parts of southern Africa and the Andes tend to face output losses when El Niño disrupts rainfall and agricultural production. The US and parts of Europe can see a milder or even slightly positive impact. In South America, the soy complex in Brazil and Argentina can benefit from wetter conditions.

Second, the inflation impact is asymmetric. The pressure is strongest in economies where food carries a large weight in CPI and currency pass-through is high. In these cases, higher food and energy prices can lift inflation expectations, weaken local currencies and amplify imported inflation. That leaves central banks with less room to cut rates, especially in commodity-importing emerging markets.

The euro area is less exposed. Banco de España finds that El Niño has historically reduced euro-area inflation by around 0.3 percentage points after twelve months, largely because of composition effects and the Common Agricultural Policy, which dampens the pass-through from global food prices to consumers.

 

Source: S&P Global


The commodity shock

Commodity markets usually react before inflation data does. Crops trade on expectations, and expectations can change quickly when rainfall, heat and harvest quality come under pressure. This year, the weather risk arrives on top of an already tense input-cost backdrop. Farmers are still dealing with higher fertiliser and diesel costs after months of energy-market stress and geopolitical disruption. The World Bank expects headline commodity prices to rise by around 16% in 2026, the first annual increase since 2022, mainly because of energy and fertiliser. Agricultural prices are expected to fall in the baseline, which makes El Niño the upside risk to that view.

Past El Niño episodes have often been supportive for soft commodities. Cocoa, coffee, sugar, palm oil, cotton and rice all depend heavily on rainfall patterns in tropical regions. Yet, inventories, regional weather conditions and substitution effects can change the price response from one crop to another.

Cocoa looks particularly exposed. Ivory Coast and Ghana, the two largest producers, account for roughly half of global cocoa supply. Strong El Niño episodes have historically weighed on cocoa output, sometimes through drought, sometimes through excess rainfall and disease. The last episode showed how damaging that mix can be. Heavy rainfall first increased disease pressure on cocoa trees. Then intense heat and dry Harmattan winds hit already weakened crops. Prices nearly tripled in 2024 and rose above USD 12,000 per metric ton, turning cocoa into one of the most extreme commodity stories of the year.

Palm oil and cotton also offer direct exposure to Asian weather risk. Both are linked to conditions in Indonesia, Malaysia and India. A weak monsoon would quickly change supply expectations.

Coffee is exposed mainly through robusta. Vietnam and Indonesia produce around half of global robusta output, and El Niño usually brings hotter, drier weather during crop development. Arabica is more nuanced. Brazil can benefit from lower frost risk at first, but heat and dryness later in the year can still threaten the next crop.

Sugar is more cushioned. A weaker monsoon in India and Thailand can push prices higher but India could redirect 3–4 million tonnes from ethanol back to sugar, offsetting most of a moderate production loss.

Rice has the most direct link to the monsoon. A weak rainy season in Asia can quickly reduce production expectations and push food-security concerns higher, especially in countries where rice is a staple crop.

Corn depends more on regional weather than on El Niño alone. Dryness in some producing areas can support prices, but the signal is less consistent because other regions may see better growing conditions.

Regarding soybeans, El Niño can create stress in some regions, but Brazil and Argentina may benefit from additional rainfall. That makes the soybean trade less straightforward than rice or palm oil.

Natural gas is the exception. A milder Northern Hemisphere winter usually reduces heating demand and weighs on prices. In 2026, however, that bearish signal has to be balanced against energy-market stress linked to the Strait of Hormuz.

The next catalyst is the Indian monsoon. Rainfall between June and September will shape the outlook for cotton, sugar, rice and palm oil. A normal season would keep part of the El Niño risk contained. A severe shortfall would bring the real upside risk back into focus.

There is also a timing gap between futures and physical markets. Forecasts are still affected by the spring predictability barrier, the period when El Niño models are less reliable before summer signals become clearer. Futures can start pricing 2026–27 weather risks several months ahead, while physical markets remain tied to current inventories, crop conditions and near-term supply-demand balances.

Commodity markets usually react before inflation data does. Crops trade on expectations, and expectations can change quickly when rainfall, heat and harvest quality come under pressure. This year, the weather risk arrives on top of an already tense input-cost backdrop. Farmers are still dealing with higher fertiliser and diesel costs after months of energy-market stress and geopolitical disruption. The World Bank expects headline commodity prices to rise by around 16% in 2026, the first annual increase since 2022, mainly because of energy and fertiliser. Agricultural prices are expected to fall in the baseline, which makes El Niño the upside risk to that view.

Past El Niño episodes have often been supportive for soft commodities. Cocoa, coffee, sugar, palm oil, cotton and rice all depend heavily on rainfall patterns in tropical regions. Yet, inventories, regional weather conditions and substitution effects can change the price response from one crop to another.

Cocoa looks particularly exposed. Ivory Coast and Ghana, the two largest producers, account for roughly half of global cocoa supply. Strong El Niño episodes have historically weighed on cocoa output, sometimes through drought, sometimes through excess rainfall and disease. The last episode showed how damaging that mix can be. Heavy rainfall first increased disease pressure on cocoa trees. Then intense heat and dry Harmattan winds hit already weakened crops. Prices nearly tripled in 2024 and rose above USD 12,000 per metric ton, turning cocoa into one of the most extreme commodity stories of the year.

Palm oil and cotton also offer direct exposure to Asian weather risk. Both are linked to conditions in Indonesia, Malaysia and India. A weak monsoon would quickly change supply expectations.

Coffee is exposed mainly through robusta. Vietnam and Indonesia produce around half of global robusta output, and El Niño usually brings hotter, drier weather during crop development. Arabica is more nuanced. Brazil can benefit from lower frost risk at first, but heat and dryness later in the year can still threaten the next crop.

Sugar is more cushioned. A weaker monsoon in India and Thailand can push prices higher but India could redirect 3–4 million tonnes from ethanol back to sugar, offsetting most of a moderate production loss.

Rice has the most direct link to the monsoon. A weak rainy season in Asia can quickly reduce production expectations and push food-security concerns higher, especially in countries where rice is a staple crop.

Corn depends more on regional weather than on El Niño alone. Dryness in some producing areas can support prices, but the signal is less consistent because other regions may see better growing conditions.

Regarding soybeans, El Niño can create stress in some regions, but Brazil and Argentina may benefit from additional rainfall. That makes the soybean trade less straightforward than rice or palm oil.

Natural gas is the exception. A milder Northern Hemisphere winter usually reduces heating demand and weighs on prices. In 2026, however, that bearish signal has to be balanced against energy-market stress linked to the Strait of Hormuz.

The next catalyst is the Indian monsoon. Rainfall between June and September will shape the outlook for cotton, sugar, rice and palm oil. A normal season would keep part of the El Niño risk contained. A severe shortfall would bring the real upside risk back into focus.

There is also a timing gap between futures and physical markets. Forecasts are still affected by the spring predictability barrier, the period when El Niño models are less reliable before summer signals become clearer. Futures can start pricing 2026–27 weather risks several months ahead, while physical markets remain tied to current inventories, crop conditions and near-term supply-demand balances.

Source: S&P Global


Implications for financial markets 

In equities, the typical winners are fertiliser producers, agricultural input suppliers, and commodity exporters, while food processors, beverage companies, and other downstream consumers of agricultural inputs face margin pressure. Insurers and reinsurers may also be vulnerable to elevated catastrophe losses from floods, droughts, and wildfires. Broader equity performance could be weighed down by agricultural disruptions and supply-chain stress, though outcomes will vary by region.

For FX and emerging markets, food-importing economies with high inflation sensitivity and limited external buffers are most exposed, facing risks of currency weakness and tighter monetary policy. Commodity-exporting countries, by contrast, may benefit from improved terms of trade. Overall, a powerful El Niño would create meaningful macro and market effects, supporting selective commodity exposure, inflation hedges, and careful positioning across duration, EM assets, and sector allocations. Monitoring updates from NOAA, the WMO, and commodity markets will be critical for timing.


Conclusion

Even a strong El Niño is second-order relative to the Hormuz energy shock currently driving our commodity and inflation views. Its value comes as a compounding tail risk to food and EM inflation. The single most actionable item is monitoring the Indian monsoon through September, the swing factor that would turn a noisy backdrop into a tradable dislocation in the soft commodities cluster.


Disclaimer

This marketing document has been issued by Bank Syz Ltd. It is not intended for distribution to, publication, provision or use by individuals or legal entities that are citizens of or reside in a state, country or jurisdiction in which applicable laws and regulations prohibit its distribution, publication, provision or use. It is not directed to any person or entity to whom it would be illegal to send such marketing material. This document is intended for informational purposes only and should not be construed as an offer, solicitation or recommendation for the subscription, purchase, sale or safekeeping of any security or financial instrument or for the engagement in any other transaction, as the provision of any investment advice or service, or as a contractual document. Nothing in this document constitutes an investment, legal, tax or accounting advice or a representation that any investment or strategy is suitable or appropriate for an investor's particular and individual circumstances, nor does it constitute a personalized investment advice for any investor. This document reflects the information, opinions and comments of Bank Syz Ltd. as of the date of its publication, which are subject to change without notice. The opinions and comments of the authors in this document reflect their current views and may not coincide with those of other Syz Group entities or third parties, which may have reached different conclusions. The market valuations, terms and calculations contained herein are estimates only. The information provided comes from sources deemed reliable, but Bank Syz Ltd. does not guarantee its completeness, accuracy, reliability and actuality. Past performance gives no indication of nor guarantees current or future results. Bank Syz Ltd. accepts no liability for any loss arising from the use of this document.

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