Výsledky vyhledávání - modeling optimization portfolio analysis chance constrained programming

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  1. 1

    An insurance and investment portfolio model using chance constrained programming Autor Li, S.X.

    ISSN: 0305-0483, 1873-5274
    Vydáno: Exeter Elsevier Ltd 01.10.1995
    Vydáno v Omega (Oxford) (01.10.1995)
    “…An insurance and investment portfolio model is here formulated in terms of the ‘P-Models’ of Chance Constrained Programming, which is then…”
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    Journal Article
  2. 2

    Cluster analysis for ethical portfolio optimization problem using fuzzy chance constrained programming Autor Messaoudi, Laila

    ISSN: 1432-847X, 1867-383X
    Vydáno: Tokyo Springer Japan 01.10.2025
    “… multiple methodologies like investor topology, cluster analysis, preference modeling and fuzzy multi-objective programming strategy…”
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    Journal Article
  3. 3

    A sparse chance constrained portfolio selection model with multiple constraints Autor Chen, Zhiping, Peng, Shen, Lisser, Abdel

    ISSN: 0925-5001, 1573-2916
    Vydáno: New York Springer US 01.08.2020
    Vydáno v Journal of global optimization (01.08.2020)
    “…This paper presents a general sparse portfolio selection model with expectation, chance and cardinality constraints…”
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    Journal Article
  4. 4

    Multi-objective probabilistically constrained programs with variable risk: Models for multi-portfolio financial optimization Autor Lejeune, Miguel A., Shen, Siqian

    ISSN: 0377-2217, 1872-6860
    Vydáno: Amsterdam Elsevier B.V 16.07.2016
    “…•Boolean reformulation method for multi-objective joint chance-constrained problems (MOPCP…”
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    Journal Article
  5. 5

    Risk-budgeting multi-portfolio optimization with portfolio and marginal risk constraints Autor Ji, Ran, Lejeune, Miguel A.

    ISSN: 0254-5330, 1572-9338
    Vydáno: New York Springer US 01.03.2018
    Vydáno v Annals of operations research (01.03.2018)
    “…Multi-portfolio optimization problems and the incorporation of marginal risk contribution constraints have recently received a sustained interest from academia and financial practitioners…”
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    Journal Article
  6. 6

    Resilient Configuration Approach of Integrated Community Energy System Considering Integrated Demand Response Under Uncertainty Autor Guo, Zun, Li, Gengyin, Zhou, Ming, Feng, Wei

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2019
    Vydáno v IEEE access (2019)
    “…) from the demand side. Nevertheless, the randomness lies in IDR resources and renewable generation in the ICES configuration issue still lacks thorough analysis…”
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    Journal Article
  7. 7

    Modeling methods for managing raw material compositional uncertainty in alloy production Autor Gaustad, Gabrielle, Li, Preston, Kirchain, Randolph

    ISSN: 0921-3449, 1879-0658
    Vydáno: Amsterdam Elsevier B.V 01.12.2007
    Vydáno v Resources, conservation and recycling (01.12.2007)
    “… This paper explores the use of a chance-constrained optimization method, which allows explicit consideration of statistical information on composition…”
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    Journal Article
  8. 8

    Reliability-based sizing of islanded multi-energy microgrid: a conic chance-constrained optimization approach Autor Camargo-Berrueco, Juan Camilo, Mejía-Giraldo, Diego Adolfo, Lemos-Cano, Santiago

    ISSN: 1868-3967, 1868-3975
    Vydáno: 14.04.2024
    Vydáno v Energy systems (Berlin. Periodical) (14.04.2024)
    “…$$ N - 1 and probabilistic regulation reserves. This methodology consists of a chance-constrained optimization that determines the optimal sizing of the microgrid…”
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    Journal Article
  9. 9

    Stochastic portfolio optimization using efficiency evaluation Autor Rotela Junior, Paulo, Pamplona, Edson de Oliveira, Rocha, Luiz Célio Souza, Valerio, Victor Eduardo de Mello, Paiva, Anderson Paulo

    ISSN: 0025-1747, 1758-6070
    Vydáno: London Emerald Group Publishing Limited 21.09.2015
    Vydáno v Management decision (21.09.2015)
    “… A chance-constrained data envelopment analysis stochastic optimization model was used, and return and variance were employed as input and output variables. Findings…”
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    Journal Article
  10. 10

    Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent Autor Wang, Dawei, Li, Yifei, Gong, Cheng, Li, Tianle, Wang, Fang, Luo, Shanna, Li, Jun

    ISSN: 2045-2322, 2045-2322
    Vydáno: London Nature Publishing Group UK 18.07.2025
    Vydáno v Scientific reports (18.07.2025)
    “…, and (iii) time-varying, safety-critical operational constraints. The energy scheduling problem is formulated as a process-constrained, multi-period optimization…”
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    Journal Article
  11. 11

    A data-driven robust EVaR-PC with application to portfolio management Autor He, Qingyun, Hong, Chuanyang

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 15.06.2023
    Vydáno v PloS one (15.06.2023)
    “…We investigate the robust chance constrained optimization problem (RCCOP), which is a combination of the distributionally robust optimization (DRO…”
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    Journal Article
  12. 12

    On joint probabilistic constraints with Gaussian coefficient matrix Autor van Ackooij, W., Henrion, R., Möller, A., Zorgati, R.

    ISSN: 0167-6377, 1872-7468
    Vydáno: Oxford Elsevier B.V 01.03.2011
    Vydáno v Operations research letters (01.03.2011)
    “… This allows us to employ existing efficient algorithms for calculating this latter class of functions in order to solve probabilistically constrained optimization problems of the indicated type…”
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    Journal Article
  13. 13

    A Stochastic Receding Horizon Control Approach to Constrained Index Tracking Autor Primbs, James A., Sung, Chang Hwan

    ISSN: 1387-2834, 1573-6946
    Vydáno: Boston Springer US 01.03.2008
    Vydáno v Asia-Pacific financial markets (01.03.2008)
    “… By modeling the asset dynamics in the problems as a linear system subject to state and control multiplicative noise, and approximating linear chance constraints with quadratic expectation constraints…”
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    Journal Article
  14. 14

    Conditional Monte Carlo Estimation of Quantile Sensitivities Autor Fu, Michael C, Hong, L. Jeff, Hu, Jian-Qiang

    ISSN: 0025-1909, 1526-5501
    Vydáno: Hanover, MD INFORMS 01.12.2009
    Vydáno v Management science (01.12.2009)
    “…Estimating quantile sensitivities is important in many optimization applications, from hedging in financial engineering to service-level constraints in inventory control to more general chance…”
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    Journal Article
  15. 15

    Optimal project portfolio selection with carryover constraint Autor Gurgur, C

    ISSN: 0160-5682, 1476-9360
    Vydáno: London Taylor & Francis 01.12.2009
    “… In this paper, we develop a methodology based on multi-attribute utility theory and chance-constrained programming to optimize portfolio selection subject to the constraints that the selected…”
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    Journal Article
  16. 16

    Stochastic programming: applications in finance, energy, planning and logistics. Autor Gassmann, Horand I, Gassmann, Horand I, Ziemba, William T

    ISBN: 9789814407502, 981440750X
    Vydáno: New Jersey World Scientific Publishing Co. Pte. Ltd 2012
    “…This book shows the breadth and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncertainty problems…”
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    E-kniha Kniha
  17. 17

    A stochastic optimisation framework for analysing economic returns and risk distribution in the LNG business Autor Furlonge, Haydn I

    ISSN: 1750-6220, 1750-6239
    Vydáno: Bradford Emerald Group Publishing Limited 01.01.2011
    “… Constraints were placed on the minimum acceptable returns. The risk affinity of the decision maker was captured in the form of a chance-constrained optimisation problem…”
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    Journal Article
  18. 18

    Variational Inference for Data-Driven Stochastic Programming Autor Jaiswal, Prateek

    ISBN: 9798379831745
    Vydáno: ProQuest Dissertations & Theses 01.01.2021
    “… In general, stochastic programming involves minimizing an expected cost function, where the expectation is with respect to fully specified stochastic models that quantify the aleatoric or ‘inherent…”
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    Dissertation