Evidence map›Paper›PMID 41144423›Full record

ArticlePloS one2025

The impact of patent activity on idiosyncratic volatility in U.S. pharmaceutical companies.

Emre Atilgan, Fethiye Burcu Türkmen Ceylan, Ömer Tuğsal Doruk, Hasan Murat Ertuğrul, Ahmet Yasir Barak

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Emre AtilganDepartment of Health Management, Trakya University, Edirne, Türkiye.ORCID https://orcid.org/0000-0003-3759-7544
Fethiye Burcu Türkmen CeylanSchool of Global Development, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0003-1701-150X
Ömer Tuğsal DorukDepartment of Economics, Kyrgyz-Turkish Manas University, Bishkek, Kyrgyzstan.ORCID https://orcid.org/0000-0002-2382-1042
Hasan Murat ErtuğrulDepartment of Economics, Anadolu University, Eskişehir, Türkiye.
Ahmet Yasir BarakDepartment of Accounting and Finance, Isparta Applied Sciences University, Isparta, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the impact of patent activity on the idiosyncratic volatility (IVOL) of U.S. pharmaceutical companies, addressing a critical gap in the literature on the relationship between innovation and firm-specific risk. Using panel data from Thomson Reuters/Refinitiv covering 2,910 firms over 2005-2024, we employ the Fama-French 5-factor model to isolate firm-specific volatility and analyze how patent events and pharmaceutical development activities affect stock price risk. Our findings reveal a complex relationship between innovation and volatility that varies by development stage. While patent activity overall reduces idiosyncratic volatility, early and mid-stage development projects (Phase I and II) initially increase firm-specific risk, reflecting inherent uncertainties in drug development. Conversely, newly launched products significantly reduce volatility, indicating that risk mitigation occurs primarily at commercialization. These relationships remain robust during crisis periods, including the 2008-09 financial crisis and COVID-19 pandemic. The results provide valuable insights for investors seeking to assess pharmaceutical investment risks, managers optimizing innovation portfolios, and policymakers designing intellectual property frameworks. The study's focus on the U.S. market and reliance on patent counts rather than quality measures suggest important avenues for future research across different regulatory environments and innovation metrics.

Indexed as

Drug IndustryPatents as TopicCOVID-19Drug DevelopmentHumansInvestmentsPandemicsUnited States

Identifiers

PMID41144423
PMCPMC12558455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.