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dc.contributor.authorWang, Guizhou
dc.contributor.authorHausken, Kjell
dc.date.accessioned2023-11-29T09:44:12Z
dc.date.available2023-11-29T09:44:12Z
dc.date.created2023-02-08T23:43:36Z
dc.date.issued2023-02
dc.identifier.citationWang, G., Hausken, K. (2023) Comparing Growth Models with Other Investment Methods. Journal of Finance and Investment Analysis, 12 (1), 1-9.en_US
dc.identifier.issn2241-0988
dc.identifier.urihttps://hdl.handle.net/11250/3105185
dc.description.abstractThis article introduces five growth models as an investment method. These are conventional logistic growth, Gompertz growth, generalized charged capacitor growth, combined logistic and charged capacitor growth, and combined Gompertz and charged capacitor growth. This article demonstrates how to apply the growth models in investing while taking oscillation and lengthening cycles into consideration. The growth models applied as an investment method are compared with 15 other common investment methods. The growth models can be used to predict the prices of various types of assets, including derivatives, stocks, bonds, real estate, and cryptocurrencies. Other phenomena involving growth and fluctuations can also be analyzed. This article provides insights for researchers and investors for how to predict when investing.en_US
dc.language.isoengen_US
dc.publisherScienpressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectfinansen_US
dc.subjectvekstmodelleren_US
dc.titleComparing Growth Models with Other Investment Methodsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s).en_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210en_US
dc.source.pagenumber1-9en_US
dc.source.volume12en_US
dc.source.journalJournal of Finance and Investment Analysisen_US
dc.source.issue1en_US
dc.identifier.doi10.47260/jfia/1211
dc.identifier.cristin2124313
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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