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September 16, 2025Journal of interdisciplinary perspectives

Time Series Analysis of Factors Affecting Coconut Price in the Philippines

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Authors

CCCristian T. CamañanJPJoy M. Picar

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Overview

Time series analysis reveals that rainfall and production levels do not significantly affect copra prices, indicating unique market dynamics.

Key Points

  • Results show that ARIMA(2,1,1) was optimal for forecasting copra prices in the Philippines, indicating significant fluctuations.
  • Regression analysis confirmed that rainfall and coconut production had negligible impacts on copra prices, influencing future forecasts.
  • The study utilized ARIMA and SARIMA models to analyze data from 2013 to 2022, highlighting the need for multivariate approaches.
  • Forecasts predict a decline in both coconut production and copra prices if current trends continue, affecting agricultural stakeholders.

Cite This Study

Camañan et al. (2025) studied this question.

synapsesocial.com/papers/68d4565431b076d99fa5addbhttps://doi.org/10.69569/jip.2025.618
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