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 the lush landscapes of Indonesia, the Agricultural Product Derivatives market is experiencing notable growth and evolution.
Customer preferences: Customers in Indonesia are increasingly turning to Agricultural Product Derivatives as a means of diversifying their investment portfolios and hedging against price volatility in the agricultural sector. The convenience and flexibility offered by these financial instruments are appealing to investors looking to capitalize on the fluctuations in commodity prices without directly trading physical goods.
Trends in the market: One of the key trends in the Agricultural Product Derivatives market in Indonesia is the growing interest in palm oil derivatives. Indonesia is one of the largest producers of palm oil globally, and as such, there is a significant demand for derivatives linked to the price of this commodity. Investors are closely monitoring factors such as weather conditions, government policies, and global demand to make informed decisions in this market.
Local special circumstances: Indonesia's unique position as a major player in the global agricultural market significantly influences the Agricultural Product Derivatives sector in the country. The government's policies related to agriculture, land use, and exports have a direct impact on the performance of derivative products linked to key commodities such as palm oil, rubber, and coffee. Additionally, the country's geographical location and climate conditions play a crucial role in shaping market trends and investor sentiment.
Underlying macroeconomic factors: The overall economic stability of Indonesia, coupled with its growing population and increasing urbanization, is driving demand for agricultural products and their derivatives. As the country continues to modernize its agricultural practices and improve productivity, investors are optimistic about the potential returns offered by Agricultural Product Derivatives. Furthermore, Indonesia's strategic position in the global supply chain for key commodities ensures that the market remains dynamic and responsive to both domestic and international developments.
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