[PDF][PDF] A 6-Year Forecast Of Egg, Rice, And Onion Retail Prices In The Philippines: An Application Of Arima And Sarima Models
J Balilla, M Bondoc, KA Castro, A Ebrada… - Research …, 2023 - researchgate.net
The Philippines has recently experienced a shortage of various commodities, including
chicken eggs, well-milled rice, and native onions. The prices of these items have seen …
chicken eggs, well-milled rice, and native onions. The prices of these items have seen …
Palladium Price Predictions via Machine Learning
B Jin, X Xu - Materials Circular Economy, 2024 - Springer
Predictions of prices for a wide variety of commodities have been relied upon by
governments and investors over the course of history. The purpose of this study is to …
governments and investors over the course of history. The purpose of this study is to …
Navigating Inflation Challenges: AI-Based Portfolio Management Insights
After 2010, the consumer price index fell to a low level in the EU. In the euro area, it
remained low between 2010 and 2020. The European Central Bank has even had to take …
remained low between 2010 and 2020. The European Central Bank has even had to take …
ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS
M Mariono, S Syaharuddin, S Ashraf… - … Ilmu Matematika dan …, 2025 - ojs3.unpatti.ac.id
This study adopts a systematic literature review to analyze social media sentiment towards
specific commodities to enhance the accuracy of price movement forecasts in commodity …
specific commodities to enhance the accuracy of price movement forecasts in commodity …
COMPARISON OF PREDICTION PERFORMANCES OF REGRESSION MODELS IN MACHINE LEARNING: AN APPLICATION ON THE TURKISH MERCANTILE …
HA Burhan - Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 2023 - dergipark.org.tr
Agricultural commodity prices have significant impacts on economies by leading to changes
and regulations in both fiscal and monetary policies. These also have effects on household …
and regulations in both fiscal and monetary policies. These also have effects on household …
A novel robust method for estimating the covariance matrix of financial returns with applications to risk management
A Leccadito, A Staino, P Toscano - Financial Innovation, 2024 - Springer
This study introduces the dynamic Gerber model (DGC) and evaluates its performance in the
prediction of Value at Risk (VaR) and Expected Shortfall (ES) compared to alternative …
prediction of Value at Risk (VaR) and Expected Shortfall (ES) compared to alternative …
Comparison of Linear Regression, ARIMA, Simple Exponential Smoothing, Hybrid ARIMA-LSTM, and EWMA in Forecasting Commodity Prices
M Mujiyanto, S Nurindahsari… - Telematika, 2024 - ejournal.amikompurwokerto.ac.id
In this study, we compare the performance of both hybrid and non-hybrid forecasting
models, explicitly focusing on Linear Regression, ARIMA, Simple Exponential Smoothing …
models, explicitly focusing on Linear Regression, ARIMA, Simple Exponential Smoothing …