IDEAS home Printed from https://ideas.repec.org/r/inm/ormnsc/v59y2013i2p485-503.html
   My bibliography  Save this item

Solving Constrained Consumption-Investment Problems by Simulation of Artificial Market Strategies

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Kraft, Holger & Munk, Claus & Weiss, Farina, 2019. "Predictors and portfolios over the life cycle," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 1-27.
  2. Hong, Yi & Jin, Xing, 2018. "Semi-analytical solutions for dynamic portfolio choice in jump-diffusion models and the optimal bond-stock mix," European Journal of Operational Research, Elsevier, vol. 265(1), pages 389-398.
  3. Lorenzo Reus & Frank J. Fabozzi, 2021. "Robust Solutions to the Life-Cycle Consumption Problem," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 481-499, February.
  4. Kasper Larsen & Oleksii Mostovyi & Gordan Žitković, 2018. "An expansion in the model space in the context of utility maximization," Finance and Stochastics, Springer, vol. 22(2), pages 297-326, April.
  5. Castañeda, Pablo & Reus, Lorenzo, 2019. "Suboptimal investment behavior and welfare costs: A simulation based approach," Finance Research Letters, Elsevier, vol. 30(C), pages 170-180.
  6. Kraft, Holger & Weiss, Farina, 2023. "Pandemic portfolio choice," European Journal of Operational Research, Elsevier, vol. 305(1), pages 451-462.
  7. Holger Kraft & Claus Munk & Sebastian Wagner, 2018. "Housing Habits and Their Implications for Life-Cycle Consumption and Investment [The evolution of homeownership rates in selected OECD countries: demographic and public policy influences]," Review of Finance, European Finance Association, vol. 22(5), pages 1737-1762.
  8. Roberto Casarin & Bertrand B. Maillet & Anthony Osuntuyi, 2024. "Monte carlo within simulated annealing for integral constrained optimizations," Annals of Operations Research, Springer, vol. 334(1), pages 205-240, March.
  9. Farina Weiss, 2021. "A numerical approach to solve consumption-portfolio problems with predictability in income, stock prices, and house prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 93(1), pages 33-81, February.
  10. Kasper Larsen & Oleksii Mostovyi & Gordan v{Z}itkovi'c, 2014. "An expansion in the model space in the context of utility maximization," Papers 1410.0946, arXiv.org, revised Aug 2016.
  11. Reus, Lorenzo, 2024. "The integral of the squared Gaussian process," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
  12. Munk, Claus, 2020. "A mean-variance benchmark for household portfolios over the life cycle," Journal of Banking & Finance, Elsevier, vol. 116(C).
  13. Paolo Guasoni & Gu Wang, 2020. "Consumption in incomplete markets," Finance and Stochastics, Springer, vol. 24(2), pages 383-422, April.
  14. Kamma, Thijs & Pelsser, Antoon, 2022. "Near-optimal asset allocation in financial markets with trading constraints," European Journal of Operational Research, Elsevier, vol. 297(2), pages 766-781.
  15. Pagnoncelli, Bernardo K. & Homem-de-Mello, Tito & Lagos, Guido & Castañeda, Pablo & García, Javier, 2024. "Solving constrained consumption–investment problems by decomposition algorithms," European Journal of Operational Research, Elsevier, vol. 319(1), pages 292-302.
  16. Hambel, Christoph & Kraft, Holger & Meyer-Wehmann, André, 2023. "When should retirees tap their home equity?," Journal of Banking & Finance, Elsevier, vol. 154(C).
  17. Hambel, Christoph & Kraft, Holger & Meyer-Wehmann, André, 2023. "When should retirees tap their home equity?," Other publications TiSEM e3ca270a-8fec-4000-a3ab-c, Tilburg University, School of Economics and Management.
  18. Thijs Kamma & Antoon Pelsser, 2019. "Near-Optimal Dynamic Asset Allocation in Financial Markets with Trading Constraints," Papers 1906.12317, arXiv.org, revised Oct 2019.
  19. Goodarzi, Milad & Meinerding, Christoph, 2023. "Asset allocation with recursive parameter updating and macroeconomic regime identifiers," Discussion Papers 06/2023, Deutsche Bundesbank.
  20. Zhou, Minna & Liu, Yongjun, 2024. "Dynamic consumption and portfolio choice considering information learning and stochastic interest rate," Finance Research Letters, Elsevier, vol. 65(C).
  21. Davi Valladão & Thuener Silva & Marcus Poggi, 2019. "Time-consistent risk-constrained dynamic portfolio optimization with transactional costs and time-dependent returns," Annals of Operations Research, Springer, vol. 282(1), pages 379-405, November.
  22. Kraft, Holger & Munk, Claus & Weiss, Farina, 2017. "Predictors and portfolios over the life cycle: Skill vs. luck," SAFE Working Paper Series 139, Leibniz Institute for Financial Research SAFE, revised 2017.
  23. Wenyuan Li & Pengyu Wei, 2024. "Constrained portfolio optimization in a life-cycle model," Papers 2410.20060, arXiv.org.
  24. Lorenzo Reus & Rodolfo Prado, 2022. "Need to Meet Investment Goals? Track Synthetic Indexes with the SDDP Method," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 47-69, June.
  25. Hambel, Christoph & Kraft, Holger & Meyer-Wehmann, André, 2020. "When should retirees tap their home equity?," SAFE Working Paper Series 293, Leibniz Institute for Financial Research SAFE.
  26. Wei-Ting Pan, 2016. "The Impact of Mandatory Savings on Life Cycle Consumption and Portfolio Choice," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2016, January-A.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.