Definition:
The Agricultural Product Derivatives market refers to derivatives of agricultural products such as coffee or rice. These include financial vehicles such as options and futures. Derivatives allow investors to profit from a commodity’s value development without owning the physical commodity (e.g. instead of owning a unit of rice, an investor could own a derivative of rice). Therefore, physical commodities are out of scope in this analysis.Structure:
The market contains the following KPIs: annual notional value, the number of traded contracts, the open interest (number of outstanding contracts at the end of a year), the average notional value per contract as well as the price data of popular specific derivatives of this category.Additional information:
Examples of popular Agricultural product derivatives are coffee, rice, or barley.Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The Agricultural Product Derivatives market in Guinea is experiencing a notable shift in recent times.
Customer preferences: Customers in Guinea are increasingly showing interest in Agricultural Product Derivatives as a way to diversify their investment portfolios and hedge against market volatility. This growing preference is in line with global trends where investors are seeking alternative investment options beyond traditional financial instruments.
Trends in the market: The market for Agricultural Product Derivatives in Guinea is witnessing a steady growth due to the rising awareness among investors about the potential benefits of these financial instruments. As more investors look for opportunities to capitalize on the fluctuations in agricultural commodity prices, the demand for derivatives linked to products like cocoa, coffee, and rubber is on the rise in Guinea.
Local special circumstances: Guinea's economy is heavily reliant on agriculture, with a significant portion of the population engaged in farming activities. This reliance on agriculture as a primary economic sector creates a conducive environment for the development of the Agricultural Product Derivatives market. The need for risk management tools in the agricultural sector further drives the adoption of derivatives among local market participants.
Underlying macroeconomic factors: The macroeconomic landscape in Guinea, characterized by factors such as inflation, exchange rate fluctuations, and political stability, plays a crucial role in shaping the Agricultural Product Derivatives market. Economic uncertainties and price volatility in the agricultural sector drive investors towards derivatives as a means of managing risk and enhancing returns. Additionally, government policies and regulations regarding derivatives trading also impact the growth and development of the market in Guinea.
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights