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
Amidst a growing interest in financial markets in Sierra Leone, the Agricultural Product Derivatives market in the country has been showing promising developments.
Customer preferences: Investors and traders in Sierra Leone are increasingly turning to Agricultural Product Derivatives as a means to diversify their portfolios and hedge against market volatility. The appeal of these derivatives lies in their potential for high returns and the opportunity to speculate on price movements without owning the physical commodities.
Trends in the market: One notable trend in the Agricultural Product Derivatives market in Sierra Leone is the rising demand for futures and options contracts tied to agricultural commodities. This trend is driven by a combination of factors such as increasing awareness about financial instruments, the need for risk management in agricultural activities, and the desire to participate in global commodity markets.
Local special circumstances: Sierra Leone's agricultural sector plays a significant role in the economy, making Agricultural Product Derivatives particularly relevant for market participants. The country's reliance on agriculture for livelihoods and food security creates a natural interest in products that allow stakeholders to manage price risks associated with agricultural commodities.
Underlying macroeconomic factors: The development of the Agricultural Product Derivatives market in Sierra Leone is also influenced by broader macroeconomic factors such as government policies, international trade dynamics, and global commodity prices. As the country continues to focus on economic diversification and financial market reforms, the Agricultural Product Derivatives market is expected to further evolve to meet the needs of investors and hedgers alike.
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