Robust decision making over a set of random targets or risk-averse utilities with an application to portfolio optimization
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DOI: 10.1080/0740817X.2014.919045
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Cited by:
- Wei Wang & Huifu Xu, 2023. "Preference robust distortion risk measure and its application," Mathematical Finance, Wiley Blackwell, vol. 33(2), pages 389-434, April.
- Jerry Anunrojwong & Krishnamurthy Iyer & David Lingenbrink, 2024.
"Persuading Risk-Conscious Agents: A Geometric Approach,"
Operations Research, INFORMS, vol. 72(1), pages 151-166, January.
- Jerry Anunrojwong & Krishnamurthy Iyer & David Lingenbrink, 2022. "Persuading Risk-Conscious Agents: A Geometric Approach," Papers 2208.03758, arXiv.org, revised Jul 2023.
- Hu, Jian & Bansal, Manish & Mehrotra, Sanjay, 2018. "Robust decision making using a general utility set," European Journal of Operational Research, Elsevier, vol. 269(2), pages 699-714.
- William B. Haskell & Wenjie Huang & Huifu Xu, 2018. "Preference Elicitation and Robust Optimization with Multi-Attribute Quasi-Concave Choice Functions," Papers 1805.06632, arXiv.org.
- Erick Delage & Jonathan Yu-Meng Li, 2018. "Minimizing Risk Exposure When the Choice of a Risk Measure Is Ambiguous," Management Science, INFORMS, vol. 64(1), pages 327-344, January.
- Beck, Yasmine & Ljubić, Ivana & Schmidt, Martin, 2023. "A survey on bilevel optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 311(2), pages 401-426.
- Jian Hu & Junxuan Li & Sanjay Mehrotra, 2019. "A Data-Driven Functionally Robust Approach for Simultaneous Pricing and Order Quantity Decisions with Unknown Demand Function," Operations Research, INFORMS, vol. 67(6), pages 1564-1585, November.
- Wei Wang & Huifu Xu, 2023. "Preference robust state-dependent distortion risk measure on act space and its application in optimal decision making," Computational Management Science, Springer, vol. 20(1), pages 1-51, December.
- Jonathan Yu-Meng Li, 2021. "Inverse Optimization of Convex Risk Functions," Management Science, INFORMS, vol. 67(11), pages 7113-7141, November.
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