Forecasting the Geopolitical Impact among Russia and Ukraine on Commodity Export Prices: An AI-Based Analysis

The study Leverages machine learning techniques to understand the complex relationship between the Russia-Ukraine conflict and its impact on commodity export prices for the two countries. While conventional economic indicators like global demand and currency exchange rates are essential, they fall short in capturing the nuances introduced by geopolitical tensions. Both Ukraine and Russia are significant players in the global commodities market, specializing in agricultural exports and natural resources, respectively. Using a dataset spanning from 1992 to 2022 and incorporating key economic variables, the study introduces a conflict-specific dummy variable to account for periods of heightened geopolitical stress. Our AI-based model reveals that the ongoing conflict has a substantial impact on commodity export prices in both nations: leading to decreased prices in Ukraine due to disrupted commerce, and increased volatility in Russia's markets The study underscores the vital role of geopolitical factors in distorting traditional economic indicators and offers a more robust framework for forecasting in the face of conflicts. Its findings are crucial for stakeholders, from policymakers to investors, and call for diplomatic efforts to mitigate further economic impact.