Texas A&M researchers have created a new AI-driven method called Symbolic Modeling that outperforms traditional asset pricing ...

Financial forecasting has always been a crucial part of business strategy, but traditional methods often rely on static data and outdated models. Today, data analytics is transforming financial ...

Decision trees are a major tool in corporate finance. Discover how binomial trees play an integral role in the pricing of interest rates.

O’Riordan will be responsible for providing financial forecasting models and critical business insights to aid commercial ...

We then show that LLM models’ prediction does not stem from its training ... on the potential of a general-purpose LLM in generating accurate, explainable financial forecasts. Our further analyses ...

GDP prediction is a complex task, influenced by multiple economic factors such as government expenditure, foreign direct investment (FDI), remittance inflows, inflation, and official development aid.

This course will examine the techniques involved with forecasting key variables in finance, and how to incorporate model uncertainty into financial forecasts. Students will learn both the theory and ...

The model is particularly useful for digitizing ... This capability addresses critical business needs across financial forecasting, equipment maintenance scheduling and anomaly detection.

Over the course of his career, he created models that would accurately forecast economic trends, not only for the United States, but on a global scale. As the Cold War was still dominating ...

The model has faced heavy criticism ... short of recommending Fed-style "dot plot" forecasting, which was introduced in the U.S. after the global financial crisis to allow each member to chart ...