S&P 500 Forecasting using Options Data with Deep Learning Models: A Study

Author

Jason Franicevich, university of new orleansFollow

Date of Award

12-2025

Degree Type

Thesis

Degree Name

M.S.E.

Degree Program

Electrical Engineering

Department

Electrical Engineering

Major Professor

Abdul Rahman Alsamman

Second Advisor

Dimitrios Charalampidis

Third Advisor

Luca Pezzo

Rights

The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

Recommended Citation

Franicevich, Jason, "S&P 500 Forecasting using Options Data with Deep Learning Models: A Study" (2025). University of New Orleans Theses and Dissertations. 3319.
https://scholarworks.uno.edu/td/3319