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Optimization of Internal Rate of Return and Net Present Value for investments

Andrea Perna

Optimization of Internal Rate of Return and Net Present Value for investments.

Rel. Fabio Guido Mario Salassa. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale, 2024

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Abstract:

This thesis aims to expose the effectiveness of scheduling techniques to get to the right investment channel through the analysis and optimization of the Internal Rate of Return (IRR) and the Net Present Value (NPV). Optimizing, creating and analyzing project scheduling and various financial metrics will try to give an indication for the assessment of investment opportunities. The performance of various algorithms created and used for this thesis, through statistical techniques will be evaluated, demonstrating the improvements and characteristics of the various proposals and giving a broader and financially innovative perspective of what project scheduling is today.

Relators: Fabio Guido Mario Salassa
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 123
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/32044
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