Zobrazit minimální záznam

dc.contributor.authorOrtobelli, Sergio
dc.contributor.authorAngelelli, Enrico
dc.contributor.authorNdoci, Alda
dc.date.accessioned2019-03-19T13:28:57Z
dc.date.available2019-03-19T13:28:57Z
dc.date.issued2019
dc.identifier.citationComputational Management Science. 2019, vol. 16, issue 1-2, special issue, p. 97-127.cs
dc.identifier.issn1619-697X
dc.identifier.issn1619-6988
dc.identifier.urihttp://hdl.handle.net/10084/134257
dc.description.abstractThis paper analyses the impact of parametric timing portfolio strategies on the U.S. stock market. In particular, we assume that the log-returns follow a given parametric Levy process and we describe a methodology to approximate the distributions of stopping times using the underlying Markov transition matrix. Therefore, we propose the use of portfolio strategies based on the maximization of the ratio between the expected first passage time to reach a low level of wealth and the expected first passage time to reach a high level of wealth. Finally, we compare the ex-post wealth obtained maximizing the ratio of proper expected stopping times under different distributional assumptions.cs
dc.language.isoencs
dc.publisherSpringercs
dc.relation.ispartofseriesComputational Management Sciencecs
dc.relation.urihttp://doi.org/10.1007/s10287-018-0332-ycs
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2018cs
dc.subjectLevy processescs
dc.subjectapplied probabilitycs
dc.subjectportfolio strategiescs
dc.subjectstopping timescs
dc.titleTiming portfolio strategies with exponential Levy processescs
dc.typearticlecs
dc.identifier.doi10.1007/s10287-018-0332-y
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume16cs
dc.description.issue1-2cs
dc.description.lastpage127cs
dc.description.firstpage97cs
dc.identifier.wos000458627300006


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