Barbato, Ugo (A.A. 2024/2025) Forecasting EPS: a comparative study of financial analysts and ChatGPT. Tesi di Laurea in Financial statement analysis, Luiss Guido Carli, relatore Jonathan Berkovitch, pp. 55. [Bachelor's Degree Thesis]

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Abstract/Index

The rise of AI in financial forecasting. Limitations of prior research and the sector-specific gap. Research question and objectives. Methodological overview. Literature review. Forecasting and the role of financial analysts. Biases and limitations of traditional analysis. Large language models in finance. Empirical findings on LLMs and financial forecasting. Shortcomings in existing research and rationale for this study. Data and methodology. Sample selection. Forecast collection: analysts and ChatGPT. Construction of forecast error measures. Control variables. Regression models. Results. Descriptive statistics. Regression analysis. Hypothesis testing: t-tests. Discussion. Overview. Interpretation of regression results. T-test results and robustness. Comparison with literature. Practical implications. Limitations. Directions for future research.

References

Bibliografia: pp. 54-55.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Business Administration, English language (L-18)
Chair:	Financial statement analysis
Thesis Supervisor:	Berkovitch, Jonathan
Academic Year:	2024/2025
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	04 Dec 2025 11:41
Last Modified:	04 Dec 2025 11:41
URI:	https://tesi.luiss.it/id/eprint/44224

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