Purpose Predicting commodity futures trading volumes represents an important matter to
policymakers and a wide spectrum of market participants. The purpose of this study is to …

Horticultural products such as fruits, vegetables, and tea offer a range of important nutrients
such as protein, carbohydrates, vitamins and lipids. However, the present yield and quality …

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 …

For market players and policy officials, commodity price forecasts are crucial problems that
are challenging to address due to the complexity of price time series. Given its strategic …

Forecasting commodity prices is a vital issue to a wide spectrum of market participants and
policy makers in the metal sector. In this work, the forecast problem is investigated by …

Accurately predicting agricultural commodity prices is crucial for India's economy. Traditional
parametric models struggle with stringent assumptions, while machine learning (ML) …

In this study, our objective is to tackle the open interest prediction problem by centering on
the thermal coal futures traded on the Chinese Zhengzhou Commodity Exchange, using …

Purpose Forecasts of commodity prices are vital issues to market participants and policy
makers. Those of corn are of no exception, considering its strategic importance. In the …

There is little doubt about importance of forecasting commodity prices to policy makers and
diverse varieties of market participants. In this present work, we analyse price forecasting …

Purpose Developing price forecasts for various agricultural commodities has long been a
significant undertaking for a variety of agricultural market players. The weekly wholesale …