Agricultural Product Derivatives - Turkmenistan

Turkmenistan

The nominal value in the Agricultural Product Derivatives market is projected to reach US$1.00bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 4.73% resulting in a projected total amount of US$1.26bn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to US$0.01 in 2024.
From a global comparison perspective it is shown that the highest nominal value is reached in the United States (US$12,320.00bn in 2024).
In the Agricultural Product Derivatives market, the number of contracts is expected to amount to 80.36k by 2029.

Market

Region

Region comparison

Currency

Analyst Opinion

Turkmenistan, a country known for its vast natural gas reserves, is also witnessing interesting developments in its Agricultural Product Derivatives market. Customer preferences in Turkmenistan are shifting towards more diverse investment options, including Agricultural Product Derivatives.

Investors are looking for ways to diversify their portfolios and hedge against market volatility, driving the demand for these financial instruments. Trends in the market indicate a growing interest in Agricultural Product Derivatives as a way to speculate on price movements of agricultural commodities without owning the physical assets. This trend is in line with global market behavior, where investors are increasingly turning to derivatives for trading opportunities and risk management.

Local special circumstances, such as the country's agricultural sector focusing on cotton, wheat, and melons, play a role in shaping the Agricultural Product Derivatives market in Turkmenistan. The reliance on these specific agricultural products influences the types of derivatives available and the overall market dynamics. Underlying macroeconomic factors, including government policies and global commodity prices, also impact the Agricultural Product Derivatives market in Turkmenistan.

Economic stability, inflation rates, and trade agreements all contribute to the overall environment for trading these financial instruments in the country.

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.