Technology and Return Predictability
This paper finds significant predictability in stock returns across technology-linked firms. Using patent-holding information to identify firms' technological linkage, we show that a long–short equity trading strategy sorted on lagged returns of technology-linked firms yields monthly alphas of around 105 basis points. The findings are robust to a number of specifications and are not driven by industry predictability, customer-supplier relationships, and strategic alliances. We provide supportive evidence that investors' limited attention to technological linkages contributes to the return predictability across technology-linked firms. Our study uncovers technological relatedness as an important information linkage between firms
Year of publication: |
2018
|
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Authors: | Qiu, Jiaping |
Other Persons: | Wang, Jin (contributor) ; Zhou, Yi (contributor) |
Publisher: |
[2018]: [S.l.] : SSRN |
Subject: | Kapitaleinkommen | Capital income | Prognoseverfahren | Forecasting model | Technischer Fortschritt | Technological change | Kapitalmarktrendite | Capital market returns | Prognose | Forecast |
Saved in:
freely available
Extent: | 1 Online-Ressource (43 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 12, 2018 erstellt |
Other identifiers: | 10.2139/ssrn.3056433 [DOI] |
Classification: | G11 - Portfolio Choice ; G12 - Asset Pricing ; G14 - Information and Market Efficiency; Event Studies |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012932439
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