Agricultural Product Derivatives - France

France

The nominal value in the Agricultural Product Derivatives market is projected to reach €595.70bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 5.12% resulting in a projected total amount of €764.80bn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to €0.47 in 2024.
From a global comparison perspective it is shown that the highest nominal value is reached in the United States (€11,430.00bn in 2024).
In the Agricultural Product Derivatives market, the number of contracts is expected to amount to 1.36m by 2029.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

France, known for its rich agricultural heritage, has a dynamic Agricultural Product Derivatives market that reflects the country's strong presence in the global agricultural sector.

Customer preferences: Customers in France show a preference for Agricultural Product Derivatives that are linked to key commodities such as wheat, corn, and sugar. These derivatives provide investors with a way to hedge against price fluctuations in the agricultural markets, which are often influenced by factors such as weather conditions and global demand.

Trends in the market: One notable trend in the Agricultural Product Derivatives market in France is the increasing demand for sustainable and ethically sourced derivatives. As consumers become more conscious of environmental and social issues, there is a growing interest in derivatives tied to organic and fair-trade agricultural products. This trend aligns with the broader global movement towards sustainability in the agricultural sector.

Local special circumstances: France's position as a leading agricultural producer in Europe gives it a unique advantage in the Agricultural Product Derivatives market. The country's diverse agricultural landscape, ranging from vineyards to wheat fields, provides a wide range of underlying assets for derivative products. Additionally, France's strong regulatory framework and established trading infrastructure make it an attractive market for investors looking to trade agricultural derivatives.

Underlying macroeconomic factors: Macroeconomic factors such as trade agreements, currency fluctuations, and government policies play a significant role in shaping the Agricultural Product Derivatives market in France. For example, changes in trade agreements can impact the demand for agricultural products, which in turn affects the prices of derivative contracts. Similarly, fluctuations in the value of the euro relative to other currencies can influence the competitiveness of French agricultural exports, leading to changes in derivative prices. Additionally, government policies related to agriculture, such as subsidies and regulations, can impact the overall market dynamics for agricultural derivatives in France.

Methodology

Data coverage:

Figures are based on commodity derivatives, their notional value, the number of contracts traded, the open interest (outstanding contracts at the end of a year), and the average value of a contract.

Modeling approach / Market size:

Market sizes are determined by a Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use market research & analysis, and data of World Bank, as well as the World Federation of Exchanges. Furthermore, we use relevant key market indicators and data from country-specific associations and national data bureaus such as GDP, wealth per capita, and the online banking penetration rate. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. In this market, we use the HOLT-damped Trend method to forecast future development. The main drivers are GDP per capita an the online banking penetration rate.

Additional Notes:

The market is updated twice per year in case market dynamics change.