This study investigates the long-memory properties of the prices of three Kenyan commodities (tea, coffee and horticultural products) by applying fractional integration methods to monthly data spanning the period from August 1998 to December 2024. The empirical results provide evidence of...

Given the context of the COVID-19 pandemic disrupting global logistics, coupled with the Russia-Ukraine war causing global energy price changes, examining both the linear and nonlinear associations between shipping cost and oil price is crucial in a global context. This study empirically...

This paper analyzes three forecasting methods for commodity spot prices and applies them to copper prices. The first method uses futures prices from either LME or COMEX. The second method uses analysts' consensus expectations, reported by Bloomberg. The third method jointly uses futures and...

This paper aims to investigate the sensitivity of the gas market: Russian Natural Gas and Liquefied Gas, to other commodity categories. It sheds light on the Russian-Ukrainian crisis by using an Autoregressive Distributed Lag model on daily prices of Russian Natural Gas, Liquefied Natural Gas,...

Commodity-exporting economies, such as South Africa, are susceptible to wide fluctuations in their business cycles, closely tied to commodity price fluctuations. In this research, we develop a prototype dynamic stochastic general equilibrium (DSGE) model with specific features for emerging small...