Research preview

Oracle’s credit default swaps have surged to an all‑time high, putting the software giant a single downgrade away from junk status. For quantitative traders, this event is a reminder that credit markets can move sharply on information that may be hidden in high‑dimensional data. In this article we explain why the CDS jump matters, review the statistical pitfalls of high‑dimensional modelling, and outline a machine‑learning workflow that can help detect similar credit‑risk buildups before they fully materialise. Why a CDS Spike Matters A credit default swap price reflects the market’s assessment of the probability that a firm will default within a given horizon....