A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

The regulatory environment continues to increase in complexity as the EBA and the PRA provide new guidelines and updates to ...

In early 2026, the U.S. leveraged loan market performed worse than the high-yield bond market, even though these two asset ...

In this blog, we leverage S&P Global Market Intelligence’s Early Warning Signals framework, powered by the RiskGauge 3.0 model, to detect early signs of elevated default risk among listed ...

The absence of a liquid secondary market means investors cannot easily sell their positions if they want to exit quickly.

Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Read more here.

If bitcoin continues to fall, Strategy plans to just refinance its debt, claims CEO Michael Saylor. Saylor refuted the idea that Strategy would sell any of its digital asset holdings: "I expect we'll ...

Feb 10 (Reuters) - Concerns that artificial intelligence could disrupt large parts of the software industry have started to spill into credit markets, Morgan Stanley warned, as software accounts for ...

A ballistic missile interceptor is launched from Vandenberg Space Force Base, California, during a flight test of the Ground-based Midcourse Defense Weapon System. Credit: Missile Defense Agency ...

This paper explores the critical importance of the interest rate risk in the banking book (IRRBB) regulations set forth by the Basel Committee on Banking Supervision. It emphasizes the need for ...

Artificial intelligence is adding a new layer of uncertainty to the private credit industry. The concerns center on how deeply private credit portfolios are tied to industries most exposed to ...

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