Agricultural Product Derivatives - Eastern Europe

Eastern Europe

Highlights

The nominal value in the Agricultural Product Derivatives market is projected to reach US$509.90bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 1.54% resulting in a projected total amount of US$550.50bn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to US$0.26 in 2024.
From a global comparison perspective it is shown that the highest nominal value is reached United States (US$12.32tn in 2024).
In the Agricultural Product Derivatives market, the number of contracts is expected to amount to 1.93m by 2029.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Amidst the evolving landscape of Eastern Europe, the Agricultural Product Derivatives market is experiencing notable shifts and developments. Customer preferences in the region are leaning towards a more diversified portfolio, with a growing interest in Agricultural Product Derivatives as a means of hedging risks and exploring investment opportunities.

Trends in the market indicate a rising demand for derivatives linked to staple crops such as wheat, corn, and barley. This trend is largely influenced by the region's strong agricultural sector and the need for risk management tools in the face of price volatility. Local special circumstances, such as varying government regulations and trade policies across Eastern European countries, play a significant role in shaping the Agricultural Product Derivatives market.

These circumstances can create both challenges and opportunities for market participants, influencing trading strategies and product offerings. Underlying macroeconomic factors, including currency fluctuations, geopolitical tensions, and global market dynamics, also impact the Agricultural Product Derivatives market in Eastern Europe. Market players must navigate these factors to make informed decisions and mitigate risks effectively.

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.