Agricultural Product Derivatives - Philippines

Philippines

Highlights

The nominal value in the Agricultural Product Derivatives market is projected to reach US$107.10bn in 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 2.55% resulting in a projected total amount of US$121.40bn by 2029.
The average price per contract in the Agricultural Product Derivatives market amounts to US$0.41 in 2024.
From a global comparison perspective it is shown that the highest nominal value is reached United States (US$12.32tn in 2024).
In the Agricultural Product Derivatives market, the number of contracts is expected to amount to 279.40k by 2029.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Agricultural Product Derivatives market in Philippines is experiencing a notable growth trajectory driven by various factors.

Customer preferences: Customers in the Philippines are increasingly turning to agricultural product derivatives as a means of diversifying their investment portfolios and managing risk exposure in the financial markets.

Trends in the market: One of the key trends in the Agricultural Product Derivatives market in Philippines is the growing popularity of derivatives linked to staple crops such as rice and corn. This trend is largely influenced by the country's heavy reliance on agriculture as a significant contributor to its economy.

Local special circumstances: The Philippines, being an agrarian economy, has a unique set of circumstances that impact the Agricultural Product Derivatives market. Factors such as weather conditions, government agricultural policies, and market demand for agricultural products play a crucial role in shaping the dynamics of the derivatives market in the country.

Underlying macroeconomic factors: Macroeconomic factors such as inflation rates, interest rates, and foreign exchange fluctuations also have a substantial influence on the Agricultural Product Derivatives market in Philippines. As investors seek ways to hedge against inflation and currency risks, the demand for agricultural product derivatives is expected to remain robust in the country.

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.