Agricultural Product Derivatives - Germany

Germany

The nominal value in the Agricultural Product Derivatives market is projected to reach €0.85tn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 5.10% resulting in a projected total amount of €1.09tn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to €0.53 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 1.65m by 2029.

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Analyst Opinion

The Agricultural Product Derivatives market in Germany is witnessing a steady growth trajectory driven by various factors.

Customer preferences: Customers in the Agricultural Product Derivatives market in Germany are increasingly leaning towards risk management tools to hedge against price volatility in the agricultural commodity market. They are also showing a growing interest in diversifying their investment portfolios through agricultural derivatives.

Trends in the market: One notable trend in the Agricultural Product Derivatives market in Germany is the rising popularity of agricultural futures contracts among institutional investors looking for alternative investment opportunities. Additionally, there is a growing demand for options and swaps as risk management tools in the market.

Local special circumstances: Germany's strong agricultural sector, known for its high-quality produce and advanced farming practices, plays a significant role in driving the demand for Agricultural Product Derivatives in the country. The presence of well-established commodity exchanges and regulatory frameworks also contributes to the market's growth.

Underlying macroeconomic factors: The stable economic environment in Germany, coupled with the country's position as a key player in the European Union, provides a conducive setting for the development of the Agricultural Product Derivatives market. Moreover, factors such as global trade dynamics, weather patterns, and government policies on agriculture influence the market trends in Germany.

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.