We independently evaluate all of our recommendations. If you click on links we provide, we may receive compensation. Michael is a former senior editor of investing and trading products for ...

In the global marketplace of 2020’s both developed and developing economies urgently need to master the key techniques and models for financing the transformation to renewable generation while ...

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 ...

Model risk management is entering a period of rapid transformation as institutions integrate increasingly complex AI, ML, and GenAI models into their inventories. Traditional validation approaches are ...

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

This article provides a description of prospective financial simulation methodology and use cases with empirical data for episode-based bundled payments, including implications for contract ...

This fully funded PhD project at Ulster University, supported by a private sponsor, focuses on the development of interpretable artificial intelligence methods for financial risk modelling. Positioned ...

Risk-management practices at financial institutions have undergone a quantitative revolution over the past decade or so. Increasingly, financial firms rely on statistical models to measure and manage ...

These events remain relevant largely because they occurred during an extended period of geopolitical stability that ran from the late 1990s through to the early 2020s. When shocks did occur, they ...