Early detection of financial bubbles

Guarracino, Vincenzo (A.A. 2024/2025) Early detection of financial bubbles. Tesi di Laurea in Empirical finance, Luiss Guido Carli, relatore Paolo Santucci de Magistris, pp. 66. [Master's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (2MB) | Preview

Abstract/Index

Theoretical frameworks. Efficient market hypothesis and rational bubbles. Behavioral finance and Soros’ reflexivity. Credit-debt cycles as a cause for bubbles. The 2021-2022 bubble. Random coefficient autoregression. Univariate model. Multivariate model. Simulations. The LPPLS model. Assumptions. Model derivation. Estimation. Topological data analysis. Introduction and literature review. Methodology. Permutation entropy. Empirical results. S&P 500 application. Natural gas futures market application.

References

Bibliografia: pp. 61-65.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Economics and Finance (LM-56)
Chair: Empirical finance
Thesis Supervisor: Santucci de Magistris, Paolo
Thesis Co-Supervisor: Traficante, Guido
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 23 Sep 2025 12:51
Last Modified: 23 Sep 2025 12:51
URI: https://tesi.luiss.it/id/eprint/43264

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item