Learn about the Merton Model for evaluating corporate credit risk, developed by Robert Merton in 1974, and used by analysts ...

Mutual credit relations between banks can destabilize the financial system, as the 2007-08 crisis laid bare. Researchers at ...

Discover how financial firms are leveraging synthetic data and AI to improve forecasting, risk modeling, and decision-making in the face of complex markets.

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Las Vegas, NV – In today’s increasingly data-driven financial environment, active trading strategies are evolving rapidly as ...

Accurate valuations are paramount in financial analysis, influencing corporate strategies, as well as investment decisions and market perceptions. Among various valuation methods, the discounted cash ...

Financial markets are inherently complex systems shaped by price dynamics, capital flows, macroeconomic cycles, policy ...

Joint guidance from the Federal Reserve and Office of the Comptroller of the Currency on managing model risk leaves many ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...