dc.contributor.author | Ortobelli, Sergio | |
dc.contributor.author | Angelelli, Enrico | |
dc.contributor.author | Ndoci, Alda | |
dc.date.accessioned | 2019-03-19T13:28:57Z | |
dc.date.available | 2019-03-19T13:28:57Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Computational Management Science. 2019, vol. 16, issue 1-2, special issue, p. 97-127. | cs |
dc.identifier.issn | 1619-697X | |
dc.identifier.issn | 1619-6988 | |
dc.identifier.uri | http://hdl.handle.net/10084/134257 | |
dc.description.abstract | This 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.iso | en | cs |
dc.publisher | Springer | cs |
dc.relation.ispartofseries | Computational Management Science | cs |
dc.relation.uri | http://doi.org/10.1007/s10287-018-0332-y | cs |
dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2018 | cs |
dc.subject | Levy processes | cs |
dc.subject | applied probability | cs |
dc.subject | portfolio strategies | cs |
dc.subject | stopping times | cs |
dc.title | Timing portfolio strategies with exponential Levy processes | cs |
dc.type | article | cs |
dc.identifier.doi | 10.1007/s10287-018-0332-y | |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 16 | cs |
dc.description.issue | 1-2 | cs |
dc.description.lastpage | 127 | cs |
dc.description.firstpage | 97 | cs |
dc.identifier.wos | 000458627300006 | |