On Thursday, April 9, Joe Holden ’26, an Accounting and Computer Science major, presented his Honors Thesis, Faster Risk Estimation for Bond Portfolios through Accelerated Computing. He explored how newer computing technologies can help financial institutions assess bond risk more quickly and efficiently. Using a common bond as a case study, Joe compared different hardware platforms and showed that specialized, accelerated systems can deliver faster results—underscoring their increasing role in modern financial analysis. The thesis was completed under the supervision of Professor Simon Levy.
Congratulations to Joe on an excellent Honors Thesis presentation and meaningful research at the intersection of computing and finance.
