NAGIOS: RODERIC FUNCIONANDO

A new approach to portfolio selection based on forecasting

Repositori DSpace/Manakin

IMPORTANT: Aquest repositori està en una versió antiga des del 3/12/2023. La nova instal.lació está en https://roderic.uv.es/

A new approach to portfolio selection based on forecasting

Mostra el registre parcial de l'element

dc.contributor.author Corberán-Vallet, Ana
dc.contributor.author Vercher González, Enriqueta
dc.contributor.author Segura, José V.
dc.contributor.author Bermúdez Edo, José Domingo
dc.date.accessioned 2023-06-16T08:20:59Z
dc.date.available 2023-06-17T04:45:06Z
dc.date.issued 2023 es_ES
dc.identifier.citation Corberán-Vallet, A., Vercher, E., Segura, J. V., & Bermúdez, J. D. (2023). A new approach to portfolio selection based on forecasting. Expert Systems with Applications, 215, 119370. es_ES
dc.identifier.uri https://hdl.handle.net/10550/87980
dc.description.abstract In this paper we analyze the portfolio selection problem from a novel perspective based on the analysis and prediction of the time series corresponding to the portfolio’s value. Namely, we define the value of a particular portfolio at the time of its acquisition. Using the time series of historical prices of the different financial assets, we calculate backward the value that said portfolio would have had in past time periods. A damped trend model is then used to analyze this time series and to predict the future values of the portfolio, providing estimates of the mean and variance for different forecasting horizons. These measures are used to formulate the portfolio selection problem, which is solved using a multi-objective genetic algorithm. To show the performance of this procedure, we use a data set of asset prices from the New York Stock Market. es_ES
dc.language.iso en es_ES
dc.publisher Elsevier es_ES
dc.subject portfolio optimization es_ES
dc.subject finance es_ES
dc.subject time series analysis es_ES
dc.subject forecasting es_ES
dc.subject multi-objective genetic algorithm es_ES
dc.title A new approach to portfolio selection based on forecasting es_ES
dc.type journal article es_ES
dc.subject.unesco UNESCO::CIENCIAS TECNOLÓGICAS es_ES
dc.identifier.doi 10.1016/j.eswa.2022.119370 es_ES
dc.accrualmethod CI es_ES
dc.embargo.terms 0 days es_ES
dc.type.hasVersion VoR es_ES
dc.rights.accessRights open access es_ES

Visualització       (979.8Kb)

Aquest element apareix en la col·lecció o col·leccions següent(s)

Mostra el registre parcial de l'element

Cerca a RODERIC

Cerca avançada

Visualitza

Estadístiques