The beginning of this decade brought utter international chaos with the COVID-19 pandemic
and the Russia-Ukraine war (RUW). The ongoing war has been building pressure across …

This article investigates the performance of three models-Autoregressive Integrated Moving
Average (ARIMA), Threshold Autoregressive Moving Average (TARMA) and Evidential …

Abstract The ongoing Russia-Ukraine conflict between two major agricultural powers has
posed significant threats and challenges to the global food system and world food security …

This paper presents a novel model based on LSTM to predict future prices of WTI crude oil.
The WTI price forecasting utilizes data on spot gold price, US 10-year bond yield, global …

Crude oil is one of the world's most important commodities. Its price can affect the global
economy, as well as the economies of importing and exporting countries. As a result …

In this paper, we predict crude oil price using various factors that may influence its price. The
factors considered are physical market, financial, and trading market factors, including seven …

Purpose: This paper studies the problem that occurs on material purchase quantity in price
uncertainty situation. Larger buying quantity when the price at high will increase the …

This paper determines the impact of Brent oil shocks on the price of shares of companies
from the oil, agricultural and food industries that includes the period of the COVID-19 …

Based on boundary rationality and relative profit maximization, quantum game theory is
applied to develop a dynamic model of the quantum Cournot duopoly game. We investigate …

The continued increase in national energy demand pushes oil and petroleum price
prediction efforts for the net oil-importing Philippines to ensure adequate supply. These …