Research preview

The warning that a proposed cease‑fire could split Sudan into multiple regimes illustrates how sudden political shifts can reshape risk landscapes. For quantitative traders, such events are a reminder that models must incorporate high‑dimensional, rapidly changing signals while guarding against over‑fitting. This article shows how to translate volatile geopolitical news into robust machine‑learning‑driven strategies. From Geopolitical Shocks to Market Variables When a senior adviser signals that a cease‑fire may lead to fragmented authority, investors react across currencies, commodities, and sovereign‑risk spreads. The immediate market reaction can be captured by a burst of news‑sentiment scores, changes in oil‑export forecasts, and spikes in emerging‑market bond yields....