XAI algorithms for deep learning models in asset pricing

Presaghi, Giulio (A.A. 2024/2025) XAI algorithms for deep learning models in asset pricing. Tesi di Laurea in Finance and financial technologies, Luiss Guido Carli, relatore Michela Altieri, pp. 59. [Bachelor's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (1MB) | Preview

Abstract/Index

Literature review. Theoretical foundations. Asset pricing and machine learning. Explainable artificial intelligence. LIME. SHAP. LIME vs SHAP. Methodology, data and models. Results. R2 comparison between machine learning models. Insights from LIME analysis. Insights from SHAP analysis. Performance improvement after using XAI.

References

Bibliografia: pp. 51-54.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair: Finance and financial technologies
Thesis Supervisor: Altieri, Michela
Academic Year: 2024/2025
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 20 Apr 2026 15:57
Last Modified: 20 Apr 2026 15:57
URI: https://tesi.luiss.it/id/eprint/45507

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item