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 Papua New Guinea is experiencing a shift in dynamics driven by various factors.
Customer preferences: Customers in Papua New Guinea are increasingly showing interest in Agricultural Product Derivatives as a means of diversifying their investment portfolios and managing risk in the volatile market.
Trends in the market: One of the notable trends in the Agricultural Product Derivatives market in Papua New Guinea is the growing demand for derivatives linked to local agricultural products such as coffee and cocoa. This trend is influenced by the country's strong agricultural sector and the desire to hedge against price fluctuations in these key commodities.
Local special circumstances: Papua New Guinea's unique position as a major producer of coffee and cocoa has a significant impact on the Agricultural Product Derivatives market. The country's reliance on these agricultural products for export revenue makes derivatives linked to their prices particularly attractive to local investors and businesses looking to manage their exposure to market risks.
Underlying macroeconomic factors: The macroeconomic landscape in Papua New Guinea, including factors such as exchange rate fluctuations, government policies, and global market trends, plays a crucial role in shaping the Agricultural Product Derivatives market. As the country continues to navigate economic challenges and strive for stability, the demand for derivatives as a risk management tool is expected to remain strong.
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