CENTER VALLEY, Pa. — For second-year finance major, Anthony Abdel Ahad, having his research accepted by the National Conference for Undergraduate Research (NCUR) was a “big deal”.
The annual undergraduate conference attracts students from across the country and includes a selective proposal review process.
“It was one thing to do research at my home campus; it was another to stand in front of people from all over and talk through it,” Ahad said, noting the event showcases student work from more than 500 colleges and universities. “I wanted to see how my work would be held in that kind of environment.”
Ahad’s research, titled "Forecasting Stock Prices in an Age of AI — An Empirical Analysis," compared stock price models in terms of forecasting performance and accuracy.
“I examined whether AI-generated models could outperform traditional statistical models when forecasting JPMorgan Chase stock prices,” said Ahad. “Everyone in finance is talking about AI right now, so I wanted to dig into that.”
To conduct his research, Ahad analyzed four economic indicators: the Nasdaq Composite Index, unemployment rate, the 10-year to 2-year treasury spread, and the industrial production index. He used these various methods to develop both a traditional financial model and an AI-generated model. After comparing performance, Ahad found that the traditional model outperformed the AI model in accuracy, demonstrating a lower standard of error.
“This does not suggest that AI does not belong in finance,” Ahad said. “Rather, it highlights that proven methods are still effective.”