Arbeitspapier
Optimal Stopping Time, Consumption, Labour, and Portfolio Decision for a Pension Scheme
In this work we solve in a closed form the problem of an agent who wants to optimise the inter-temporal utility of both his consumption and leisure by choosing: (i) the optimal inter-temporal consumption, (ii) the optimal inter-temporal labour supply, (iii) the optimal share of wealth to invest in a risky asset, and (iv) the optimal retirement age. The wage of the agent is assumed to be stochastic and correlated with the risky asset on the financial market. The problem is split into two sub-problems: the optimal consumption, labour, and portfolio problem is solved first, and then the optimal stopping time is approached. The martingale method is used for the first problem, and it allows to solve it for any value of the stopping time which is just considered as a stochastic variable. The problem of the agent is solved by assuming that after retirement he received a utility that is proportional to the remaining human capital. Finally, a numerical simulation is presented for showing the behaviour over time of the optimal solution.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 009.2019
- Klassifikation
-
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Intertemporal Household Choice; Life Cycle Models and Saving
Portfolio Choice; Investment Decisions
Time Allocation and Labor Supply
- Thema
-
ptimal Stopping Time
Retirement Choice
Labour Supply
Asset Allocation
Mortality Risk
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Menoncin, Francesco
Vergalli, Sergio
- Ereignis
-
Veröffentlichung
- (wer)
-
Fondazione Eni Enrico Mattei (FEEM)
- (wo)
-
Milano
- (wann)
-
2019
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Menoncin, Francesco
- Vergalli, Sergio
- Fondazione Eni Enrico Mattei (FEEM)
Entstanden
- 2019