Research preview

Recent phone calls between two major world leaders on the Ukraine conflict and energy supplies have sent ripples through markets. For quantitative traders, such events are a reminder that political risk must be quantified and embedded in high‑dimensional machine‑learning pipelines. The signal hidden in geopolitical news Geopolitical headlines are noisy, high‑frequency, and often ambiguous. Yet they contain information about future policy actions, sanctions, and supply‑chain disruptions that affect asset returns. In a high‑dimensional setting, a single event can be represented by dozens of binary or categorical variables: country involved, sector affected, type of policy (sanction, subsidy, trade restriction), and sentiment score derived from text....