The optimal stopping strategy in dynamic contests: empirical evidence from Formula 1 races and financial applications
D'Agostino, Francesco (A.A. 2021/2022) The optimal stopping strategy in dynamic contests: empirical evidence from Formula 1 races and financial applications. Tesi di Laurea in Econometric theory, Luiss Guido Carli, relatore Paolo Santucci de Magistris, pp. 57. [Master's Degree Thesis]
|
PDF (Full text)
Download (2MB) | Preview |
Abstract/Index
Basics of Formula 1. Methodology. Formal theoretical model setup. Data and empirical specification. Data description and sample restriction. Empirical model setup. Results. Financial applications. American optioins. Formula 1 and American options.
References
Bibliografia: pp. 43-45.
| 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: | Econometric theory |
| Thesis Supervisor: | Santucci de Magistris, Paolo |
| Thesis Co-Supervisor: | Morelli, Giacomo |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 26 Jan 2023 09:47 |
| Last Modified: | 26 Jan 2023 09:47 |
| URI: | https://tesi.luiss.it/id/eprint/34747 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
