A combined stochastic programming and optimal control approach to personal finance and pensions

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Standard

A combined stochastic programming and optimal control approach to personal finance and pensions. / Konicz, Agnieszka Karolina; Pisinger, David; Rasmussen, Kourosh Marjani; Steffensen, Mogens.

I: OR Spectrum - Quantitative Approaches in Management, Bind 37, Nr. 3, 2015, s. 583-616.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Konicz, AK, Pisinger, D, Rasmussen, KM & Steffensen, M 2015, 'A combined stochastic programming and optimal control approach to personal finance and pensions', OR Spectrum - Quantitative Approaches in Management, bind 37, nr. 3, s. 583-616. https://doi.org/10.1007/s00291-014-0375-6

APA

Konicz, A. K., Pisinger, D., Rasmussen, K. M., & Steffensen, M. (2015). A combined stochastic programming and optimal control approach to personal finance and pensions. OR Spectrum - Quantitative Approaches in Management, 37(3), 583-616. https://doi.org/10.1007/s00291-014-0375-6

Vancouver

Konicz AK, Pisinger D, Rasmussen KM, Steffensen M. A combined stochastic programming and optimal control approach to personal finance and pensions. OR Spectrum - Quantitative Approaches in Management. 2015;37(3):583-616. https://doi.org/10.1007/s00291-014-0375-6

Author

Konicz, Agnieszka Karolina ; Pisinger, David ; Rasmussen, Kourosh Marjani ; Steffensen, Mogens. / A combined stochastic programming and optimal control approach to personal finance and pensions. I: OR Spectrum - Quantitative Approaches in Management. 2015 ; Bind 37, Nr. 3. s. 583-616.

Bibtex

@article{9ee5db329b234643b30699ad9371e996,
title = "A combined stochastic programming and optimal control approach to personal finance and pensions",
abstract = "We combine a dynamic programming approach (stochastic optimal control) with a multi-stage stochastic programming approach (MSP) in order to solve various problems in personal finance and pensions. Both optimization methods are integrated into one MSP formulation, making it possible to achieve a solution within a short computational time. The solution takes into account the entire lifetime of an individual, while focusing on practical constraints, such as limits on portfolio composition, limits on the sum insured, inclusion of transaction costs, and taxes on capital gains, during the first years of a contract. Two applications are considered: (A) optimal investment, consumption and sum insured for an individual maximizing the expected utility of consumption and bequest, and (B) optimal investment for a pension saver who wishes to maximize the expected utility of retirement benefits. Numerical results show that among the considered practical constraints, the presence of taxes affects the optimal controls the most. Furthermore, the individual{\textquoteright}s preferences, such as impatience level and risk aversion, have even a higher impact on the controlled processes than the taxes on capital gains.",
author = "Konicz, {Agnieszka Karolina} and David Pisinger and Rasmussen, {Kourosh Marjani} and Mogens Steffensen",
year = "2015",
doi = "10.1007/s00291-014-0375-6",
language = "English",
volume = "37",
pages = "583--616",
journal = "OR Spectrum",
issn = "0171-6468",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - A combined stochastic programming and optimal control approach to personal finance and pensions

AU - Konicz, Agnieszka Karolina

AU - Pisinger, David

AU - Rasmussen, Kourosh Marjani

AU - Steffensen, Mogens

PY - 2015

Y1 - 2015

N2 - We combine a dynamic programming approach (stochastic optimal control) with a multi-stage stochastic programming approach (MSP) in order to solve various problems in personal finance and pensions. Both optimization methods are integrated into one MSP formulation, making it possible to achieve a solution within a short computational time. The solution takes into account the entire lifetime of an individual, while focusing on practical constraints, such as limits on portfolio composition, limits on the sum insured, inclusion of transaction costs, and taxes on capital gains, during the first years of a contract. Two applications are considered: (A) optimal investment, consumption and sum insured for an individual maximizing the expected utility of consumption and bequest, and (B) optimal investment for a pension saver who wishes to maximize the expected utility of retirement benefits. Numerical results show that among the considered practical constraints, the presence of taxes affects the optimal controls the most. Furthermore, the individual’s preferences, such as impatience level and risk aversion, have even a higher impact on the controlled processes than the taxes on capital gains.

AB - We combine a dynamic programming approach (stochastic optimal control) with a multi-stage stochastic programming approach (MSP) in order to solve various problems in personal finance and pensions. Both optimization methods are integrated into one MSP formulation, making it possible to achieve a solution within a short computational time. The solution takes into account the entire lifetime of an individual, while focusing on practical constraints, such as limits on portfolio composition, limits on the sum insured, inclusion of transaction costs, and taxes on capital gains, during the first years of a contract. Two applications are considered: (A) optimal investment, consumption and sum insured for an individual maximizing the expected utility of consumption and bequest, and (B) optimal investment for a pension saver who wishes to maximize the expected utility of retirement benefits. Numerical results show that among the considered practical constraints, the presence of taxes affects the optimal controls the most. Furthermore, the individual’s preferences, such as impatience level and risk aversion, have even a higher impact on the controlled processes than the taxes on capital gains.

U2 - 10.1007/s00291-014-0375-6

DO - 10.1007/s00291-014-0375-6

M3 - Journal article

VL - 37

SP - 583

EP - 616

JO - OR Spectrum

JF - OR Spectrum

SN - 0171-6468

IS - 3

ER -

ID: 130562404