Zobrazit minimální záznam

dc.contributor.authorMoriggia, Vittorio
dc.contributor.authorKopa, Miloš
dc.contributor.authorVitali, Sebastiano
dc.date.accessioned2019-09-09T06:18:48Z
dc.date.available2019-09-09T06:18:48Z
dc.date.issued2019
dc.identifier.citationOmega. 2019, vol. 87, special issue, p. 127-141.cs
dc.identifier.issn0305-0483
dc.identifier.urihttp://hdl.handle.net/10084/138492
dc.description.abstractThe main goal of a pension fund manager is sustainability. We propose an Asset and Liability Management model structured as a multi-stage stochastic programming problem adopting a discrete scenario tree and a multi-objective function. Among other constraints, we consider the second-order stochastic dominance with respect to a benchmark portfolio. To protect the pension fund from shocks, we test the inclusion of hedge financial contracts in the form of put options and, moreover, we stress the portfolio introducing a new scenario tree contamination technique, namely the nodal contamination. Numerical results show that we can efficiently manage the pension fund satisfying several targets such as liquidity, returns, sponsor's extraordinary contribution and funding gap. Moreover, we test the sensitivity with respect to put option strikes and to the stochastic dominance constraints. Finally, we demonstrate the effect of the scenario tree contamination.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesOmegacs
dc.relation.urihttp://doi.org/10.1016/j.omega.2018.08.011cs
dc.rights© 2018 Elsevier Ltd. All rights reserved.cs
dc.subjectstochastic programmingcs
dc.subjectportfolio selectioncs
dc.subjectsensitivity analysiscs
dc.subjectAsset and Liability Managementcs
dc.subjectpension fundcs
dc.subjecthedging derivativescs
dc.subjectcontaminationcs
dc.titlePension fund management with hedging derivatives, stochastic dominance and nodal contaminationcs
dc.typearticlecs
dc.identifier.doi10.1016/j.omega.2018.08.011
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume87cs
dc.description.issuespecial issuecs
dc.description.lastpage141cs
dc.description.firstpage127cs
dc.identifier.wos000474319000011


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