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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29696
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dc.contributor.authorGuderian, Carsten C.-
dc.contributor.authorPosth, Jan-Alexander-
dc.contributor.authorGrob, Linus-
dc.date.accessioned2024-02-02T08:51:20Z-
dc.date.available2024-02-02T08:51:20Z-
dc.date.issued2023-08-25-
dc.identifier.issn1062-9769de_CH
dc.identifier.issn1878-4259de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29696-
dc.description.abstractThe question of which stocks to buy remains at the heart of every investment decision. New, non-priced information sources and rationales linking such information to financial theory are constantly investigated. Patent metrics are often relied upon to capture technological change. Prior research detected positive corporate performance implications when relating corporate patent metrics to corporate financial performance indicators like stock prices. However, largely anecdotal evidence from the corporate sector on building investment strategies based on such patent metrics exists. In this multi-case study comprising COVID-19 treatment technologies, we select investment targets from a pool of companies previously identified based on patent analytics via patent portfolio sizes, average patent qualities, and patent portfolio strengths. Casting our thematic investment choice into passively constructed portfolios and benchmarking the portfolios' performance against the sector and three established global benchmarks, we find that relying on patent information in the selection process results in substantial outperformance compared to these global benchmarks. This finding holds true in the short- and mid-term. These findings provide ample opportunities for future research and may guide investment, managerial, and policy decision-makers in crafting promising investment strategies.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofThe Quarterly Review of Economics and Financede_CH
dc.rightshttps://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectAlternative beta/datade_CH
dc.subjectCOVID-19de_CH
dc.subjectInvestment decisionde_CH
dc.subjectPatent analyticsde_CH
dc.subjectPortfolio constructionde_CH
dc.subject.ddc332.6: Investitionde_CH
dc.titleInvestment decisions and passive portfolio construction utilizing patent analytics : a multi-case study on COVID-19 treatment technologiesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Wealth & Asset Management (IWA)de_CH
dc.identifier.doi10.1016/j.qref.2023.08.002de_CH
dc.identifier.doi10.21256/zhaw-29696-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end87de_CH
zhaw.pages.start66de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume92de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedW: Spitzenpublikationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Guderian, C. C., Posth, J.-A., & Grob, L. (2023). Investment decisions and passive portfolio construction utilizing patent analytics : a multi-case study on COVID-19 treatment technologies. The Quarterly Review of Economics and Finance, 92, 66–87. https://doi.org/10.1016/j.qref.2023.08.002
Guderian, C.C., Posth, J.-A. and Grob, L. (2023) ‘Investment decisions and passive portfolio construction utilizing patent analytics : a multi-case study on COVID-19 treatment technologies’, The Quarterly Review of Economics and Finance, 92, pp. 66–87. Available at: https://doi.org/10.1016/j.qref.2023.08.002.
C. C. Guderian, J.-A. Posth, and L. Grob, “Investment decisions and passive portfolio construction utilizing patent analytics : a multi-case study on COVID-19 treatment technologies,” The Quarterly Review of Economics and Finance, vol. 92, pp. 66–87, Aug. 2023, doi: 10.1016/j.qref.2023.08.002.
GUDERIAN, Carsten C., Jan-Alexander POSTH und Linus GROB, 2023. Investment decisions and passive portfolio construction utilizing patent analytics : a multi-case study on COVID-19 treatment technologies. The Quarterly Review of Economics and Finance. 25 August 2023. Bd. 92, S. 66–87. DOI 10.1016/j.qref.2023.08.002
Guderian, Carsten C., Jan-Alexander Posth, and Linus Grob. 2023. “Investment Decisions and Passive Portfolio Construction Utilizing Patent Analytics : A Multi-Case Study on COVID-19 Treatment Technologies.” The Quarterly Review of Economics and Finance 92 (August): 66–87. https://doi.org/10.1016/j.qref.2023.08.002.
Guderian, Carsten C., et al. “Investment Decisions and Passive Portfolio Construction Utilizing Patent Analytics : A Multi-Case Study on COVID-19 Treatment Technologies.” The Quarterly Review of Economics and Finance, vol. 92, Aug. 2023, pp. 66–87, https://doi.org/10.1016/j.qref.2023.08.002.


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