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Aspiration Level, Probability Of Success And Failure, And Expected Utility

Citations

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Cited by:

  1. Pavel Chebotarev, 2023. "Updating Utility Functions on Preordered Sets," Mathematics, MDPI, vol. 11(22), pages 1-18, November.
  2. Phillips Peter J. & Pohl Gabriela, 2018. "The Deferral of Attacks: SP/A Theory as a Model of Terrorist Choice when Losses Are Inevitable," Open Economics, De Gruyter, vol. 1(1), pages 71-85, February.
  3. Dennis W. Jansen & Liqun Liu, 2022. "Portfolio choice in the model of expected utility with a safety-first component," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 187-207, June.
  4. Dohmen, Thomas & Non, Arjan & Stolp, Tom, 2021. "Reference points and the tradeoff between risk and incentives," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 813-831.
  5. Meier, Pascal Flurin & Flepp, Raphael & Franck, Egon, 2025. "Expectational reference points and belief formation: Field evidence from financial analysts," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
  6. Stefan Zeisberger, 2022. "Do people care about loss probabilities?," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 185-213, October.
  7. Ulrich Schmidt & Horst Zank, 2022. "Chance theory: A separation of riskless and risky utility," Journal of Risk and Uncertainty, Springer, vol. 65(1), pages 1-32, August.
  8. Dennis W. Jansen & Liqun Liu, 2026. "Disaster aversion in the mean-disaster framework and its applications," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 51(1), pages 93-114, March.
  9. Aristidou, Andreas & Giga, Aleksandar & Lee, Suk & Zapatero, Fernando, 2025. "Aspirational utility and investment behavior," Journal of Financial Economics, Elsevier, vol. 163(C).
  10. Min Dai & Steven Kou & Shuaijie Qian & Xiangwei Wan, 2022. "Nonconcave Utility Maximization with Portfolio Bounds," Management Science, INFORMS, vol. 68(11), pages 8368-8385, November.
  11. Gebhard Geiger, 2024. "Catastrophic risk: indication, quantitative assessment and management of rare extreme events using a non-expected utility framework," Annals of Operations Research, Springer, vol. 343(1), pages 223-261, December.
  12. Lisheng He & Pantelis P. Analytis & Sudeep Bhatia, 2022. "The Wisdom of Model Crowds," Management Science, INFORMS, vol. 68(5), pages 3635-3659, May.
  13. Doron Sonsino & Yaron Lahav & Yefim Roth, 2022. "Reaching for Returns in Retail Structured Investment," Management Science, INFORMS, vol. 68(1), pages 466-486, January.
  14. Li Zhenpeng & Tang Xijin, 2021. "Stimuli strategy and learning dynamics promote the wisdom of crowds," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(12), pages 1-8, December.
  15. Shuaijie Qian & Chen Yang, 2023. "Non-Concave Utility Maximization with Transaction Costs," Papers 2307.02178, arXiv.org, revised Jun 2025.
  16. Moshe Levy, 2022. "An evolutionary explanation of the Allais paradox," Journal of Evolutionary Economics, Springer, vol. 32(5), pages 1545-1574, November.
  17. Sudeep Bhatia & Graham Loomes & Daniel Read, 2021. "Establishing the laws of preferential choice behavior," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1324-1369, November.
  18. Li, Shuang & Meng, Hui & Zhou, Ming, 2025. "Optimal consumption-leisure-investment and retirement choices with nonconcave aspirational utility," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
  19. Lucy Gongtao Chen & Qinshen Tang, 2022. "Supply Chain Performance with Target-Oriented Firms," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1714-1732, May.
  20. Zheng Cui & Jianpeng Ding & Daniel Zhuoyu Long & Lianmin Zhang, 2023. "Target‐based resource pooling problem," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1187-1204, April.
  21. Gábor Neszveda, 2025. "Aspiration level, probability of success, and stock returns: an empirical test," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-29, December.
  22. Zheng Cui & Daniel Zhuoyu Long & Jin Qi & Lianmin Zhang, 2023. "The Inventory Routing Problem Under Uncertainty," Operations Research, INFORMS, vol. 71(1), pages 378-395, January.
  23. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo, 2025. "Motivated beliefs about stock returns," Journal of Banking & Finance, Elsevier, vol. 178(C).
  24. Engström, Per & Nordblom, Katarina & Stefánsson, Arnaldur, 2022. "Loss aversion and indifference to tax rates: Evidence from tax filing data," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 287-311.
  25. Ahn, Dohyun, 2024. "Data-driven resource allocation for multi-target attainment," European Journal of Operational Research, Elsevier, vol. 318(3), pages 954-965.
  26. repec:osf:osfxxx:v6r9n_v1 is not listed on IDEAS
  27. Bakó, Barna & Neszveda, Gábor, 2024. "An aspirational perspective on the negative risk-return relationship," Finance Research Letters, Elsevier, vol. 61(C).
  28. Bi, Xiuchun & Cui, Zhenyu & Fan, Jiacheng & Yuan, Lvning & Zhang, Shuguang, 2023. "Optimal investment problem under behavioral setting: A Lagrange duality perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
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