polito.it
Politecnico di Torino (logo)

Consumption–Saving with Uncertain Labor Income

Fulvio Raddi

Consumption–Saving with Uncertain Labor Income.

Rel. Paolo Brandimarte. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Matematica, 2024

[img]
Preview
PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (3MB) | Preview
Abstract:

This thesis delves into the numerical dynamic programming approach for addressing consumption and saving decisions under labor income uncertainty. The central objective is to ascertain optimal strategies for consumption and savings in the presence of two stochastic factors: varying labor conditions (modeled as unemployed, fully employed, and an intermediate state) and portfolio investment in both a riskless and a risky asset, with observed returns post-investment. Transitions between labor conditions are captured through a Markov chain. Utilizing Matlab scripts, the thesis employs a numerical dynamic programming framework, emphasizing scenario generation, value function approximation, and state space discretization. The overarching aim is to pinpoint the optimal strategy that maximizes a utility function linked to consumption, considering the dynamic interplay of wealth and employment conditions within the numerical dynamic programming paradigm.

Relatori: Paolo Brandimarte
Anno accademico: 2023/24
Tipo di pubblicazione: Elettronica
Numero di pagine: 46
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Matematica
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-44 - MODELLISTICA MATEMATICO-FISICA PER L'INGEGNERIA
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/30380
Modifica (riservato agli operatori) Modifica (riservato agli operatori)