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,...

This paper investigates tail-risk transmission and asymmetric dependence in commodity markets using an asymmetric fuzzy vine copula framework applied to gold, crude oil, natural gas, and silver from 1 January 2015 to 1 January 2025, extracted from Yahoo Finance. Bootstrap-based trapezoidal fuzzy...

The global energy transition is reshaping commodity demand, yet its implications for commodity risk transmission remain unclear. We analyze connectedness among Energy Transition Metals (ETMs) - a subset of metals that are key inputs in clean energy technologies - energy commodities, and...

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...

This study examines the determinants of gold returns over the period 2000-2025, a period marked by recurrent financial crises, geopolitical tensions, and major shifts in global monetary conditions. As gold represents both a strategic commodity and a key reserve asset, understanding the channels...

This paper investigates the macroeconomic impacts of structural oil price shocks by employing a Global Vector Autoregression (GVAR) framework, utilizing the structural shocks as identified by Baumeister and Hamilton (2019). Our analysis differentiates among three types of oil shocks: economic...

Consensus holds that Emerging Markets and Developing Economies (EMDEs) engage in procyclical fiscal behavior. We emphasize that considering conditional responses to macroeconomic shocks is crucial when evaluating fiscal cyclicality, as neglecting this can result in significant biases. This study...