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Invention Patent’s Capability for Differentiating Stock Return Rates - Patent Informatics on Manufacturing Industries

Author

Listed:
  • Ching-Lin Chu
  • Hui-Chung Che
  • Jia Li

Abstract

More than 25 thousand Chinese listed companies in top ten manufacturing industry sectors from 2017 to 2021 were selected to explore the industry differences via the tool of analysis of variation (ANOVA) on China invention grant patents including the patent quantity, the varying trend of patent counts, and the capability for differentiating the stock return rate. The patent count of invention grants well showed the capability of differentiating the stock return rate for one industry sector, preferably showed the capability for two industry sectors, fairly showed the capability for three industry sectors, and partially showed the capability for four industry sectors. The manufacturing industry sectors with significantly increased invention grant’s patent count means since 2017 showed higher relevance to the capability. The manufacturing industry sectors of higher patent count means also showed higher relevance to the capability. The manufacturing industry sectors of higher/lower stock return rate means did not show relevance to the capability. However, every manufacturing industry sector had its particularity. The industry difference on the invention grant patents among ten manufacturing industry sectors in China stock market was distinct. JEL classification numbers: C38, C46, G11, G12.

Suggested Citation

  • Ching-Lin Chu & Hui-Chung Che & Jia Li, 2024. "Invention Patent’s Capability for Differentiating Stock Return Rates - Patent Informatics on Manufacturing Industries," Journal of Risk & Control, SCIENPRESS Ltd, vol. 11(1), pages 1-2.
    • Handle: RePEc:spt:rmkjrc:v:11:y:2024:i:1:f:11_1_2
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    References listed on IDEAS

    as
    1. Liu, Qing & Qiu, Larry D., 2016. "Intermediate input imports and innovations: Evidence from Chinese firms' patent filings," Journal of International Economics, Elsevier, vol. 103(C), pages 166-183.
    2. Hong-Wen Tsai & Hui-Chung Che & Bo Bai, 2021. "Innovation Continuity as Indicator for Observing Stock Return Rate in China Stock Market," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(5), pages 1-2.
    3. Hong-Wen Tsai & Hui-Chung Che & Bo Bai, 2022. "Using Patent Drawings Of Invention Publications To Differentiate Stock Return Rate - An Empirical Study On China Stock Market," Eurasian Journal of Business and Management, Eurasian Publications, vol. 10(1), pages 37-61.
    4. Yu-Jing Chiu & Kuang-Chin Chen & Hui-Chung Che, 2020. "Does Patent Help to Build Investment Portfolio of China A-Shares under China-US Trade Conflict?," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, May.
    5. Boeing, Philipp & Mueller, Elisabeth, 2019. "Measuring China's patent quality: Development and validation of ISR indices," China Economic Review, Elsevier, vol. 57(C).
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    More about this item

    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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