Agricultural Product Derivatives - Guyana

Guyana

The nominal value in the Agricultural Product Derivatives market is projected to reach US$1.86bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 6.60% resulting in a projected total amount of US$2.56bn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to US$0.04 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 40.24k by 2029.

Market

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Analyst Opinion

The Agricultural Product Derivatives market in Guyana has been experiencing notable growth and diversification in recent years. Customer preferences are shifting towards more sophisticated financial instruments in the Agricultural Product Derivatives market, as investors seek to hedge against price volatility and speculate on future price movements.

Trends in the market show an increasing interest in derivatives linked to key agricultural commodities produced in Guyana, such as sugar, rice, and timber. This trend is driven by the country's efforts to expand its agricultural sector and enhance productivity. Local special circumstances in Guyana, such as the government's focus on promoting agricultural exports and attracting foreign investment in the sector, are creating a conducive environment for the development of the Agricultural Product Derivatives market.

Additionally, the country's strategic location and access to international markets are attracting global players to the market. Underlying macroeconomic factors, including stable economic growth, favorable government policies, and increasing integration into global trade networks, are further supporting the growth of the Agricultural Product Derivatives market in Guyana. These factors are enhancing market liquidity and increasing participation from both domestic and international investors.

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.