Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Find insight on National Australia Bank, Japanese life insurers, BBVA and more in the latest Market Talks covering Financial Services.

The global shipping industry, pivotal to international trade, faces inherent financial vulnerabilities due to cyclical asset values, volatile freight rates, and high leverage, rendering traditional ...

In this work, we integrate sentiment analysis from financial news and social media with advanced machine learning models to improve stock trend forecasting. Using datasets such as Combined_News_DJIA, ...

Financial institutions are expanding their use of artificial intelligence (AI) and machine learning (ML), moving these tools from pilot projects to central roles in operations. In 2025, these systems ...

Controlling machine learning in a finance environment requires stakeholders' commitment to creating a strong ethical foundation.

Aircraft Finance Market Outlook: Buy Now, or Pay the Price Later Trends see both opportunities and challenges for buyers and lenders.

And, while provider organizations are mainly adopting AI scribes to reduce physician burnout, it will become increasingly important for the organizations to provide financial returns, the PHTI writes.