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[HTML][HTML] Edible oil wholesale price forecasts via the neural network
X Xu, Y Zhang - Energy Nexus, 2023 - Elsevier
For a wide spectrum of agricultural market participants, building price forecasts of various
agricultural commodities has always been a vital project. In this work, we approach this …
agricultural commodities has always been a vital project. In this work, we approach this …
Predicting wholesale edible oil prices through Gaussian process regressions tuned with Bayesian optimization and cross-validation
B **, X Xu - Asian Journal of Economics and Banking, 2024 - emerald.com
Purpose Develo** price forecasts for various agricultural commodities has long been a
significant undertaking for a variety of agricultural market players. The weekly wholesale …
significant undertaking for a variety of agricultural market players. The weekly wholesale …
[HTML][HTML] Comparison of ARIMA and GRU Models for High-Frequency Time Series Forecasting.
Purpose: The purpose of this research is to assess the efficacy of ARIMA and GRU models
in forecasting high-frequency stock price data, specifically minute-level stock data from …
in forecasting high-frequency stock price data, specifically minute-level stock data from …
[HTML][HTML] Impact Analysis of the External Shocks on the Prices of Malaysian Crude Palm Oil: Evidence from a Structural Vector Autoregressive Model
Palm oil prices, similar to other edible oils and commodity prices, are highly sensitive to
external shocks which have become particularly prominent in the wake of COVID-19 …
external shocks which have become particularly prominent in the wake of COVID-19 …
Comparison of fuzzy time forecasting multi-factor short cross associations with more partitions on the main factor and partitions on the second factor
Economic decisions that have many determinants on the estimation of macroeconomic
variables require accurate estimates. These estimates are very influential on the results of …
variables require accurate estimates. These estimates are very influential on the results of …
Comparison of Kumar method and cross association method implemented in palm oil industry data
Fuzzy time series has gained widespread popularity as a forecasting method in recent
years, with many researchers striving to enhance its performance by modifying clustering …
years, with many researchers striving to enhance its performance by modifying clustering …