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Patent Claim's Impact on Stock Return Rate Based on China Stock Market's Empirical Study

Author

Listed:
  • Hong-Wen Tsai

    (National Taiwan University of Science and Technology, Taipei, Taiwan)

  • Hui-Chung Che

    (Shenzhen TekGlory Intellectual Property Data Technologies, Ltd., Guangdong, China)

Abstract
Purpose: The main aim of this research was to discuss the relationship between the patents and the performance of listed companies, more particularly, to find out whether China patent's claim impacted on China listed company's stock return rate or not. It was because the claim played the most important role in a patent which being a key driving force for modern business. Design/methodology/approach: This research used a company integrated China patent database in which all subsidiary's patents were merged with their parent company's patents. Three China patent species of the invention publication, the invention grant and the utility model grant were all studied and compared. The average claim count per patent of each A-share was calculated for the whole stock market and four stock boards comprised therein. Five claim groups were divided by the percentile rank of all A-shares' claim counts. The annual stock return rates in four quarters of 2020 were observed. The research hypothesis was tested using the analysis variance (ANOVA). Findings: This research found that the average claim count per patent had a significant impact on China A-share's stock return rate. Though the stock market fluctuated seriously under COVID-19 pandemic, the average claim count of any patent species was still a good indicator for classifying A-share's stock return rate. The A-shares in the higher claim count groups showed the significantly higher stock return rate means while the A-shares in the lower claim count groups showed the significantly lower stock return rate means. Research limitations/implications: China companies listed in Shanghai stock exchange and Shenzhen stock exchange were observed while China companies listed in Hong Kong or overseas were excluded. China patents in which patent claim count being calculated in this research were discussed while other countries' patents were excluded. It was because the amount of China domestic patents played the majority part of China listed companies' patents. Patents with more claims were usually regarded as more valuable. Companies having more valuable patents were usually regarded as more competitive to have better financial performance. This research implicated and proved. Originality/value: This research provided a novel and creative analysis of the patent claim's impact on the stock return rate over whole China stock market. The finding of this research would improve the understanding of China patents and the innovation outcome of China A-shares. It would contribute a lot the art of the patent valuation and the listed company evaluation.

Suggested Citation

  • Hong-Wen Tsai & Hui-Chung Che, 2022. "Patent Claim's Impact on Stock Return Rate Based on China Stock Market's Empirical Study," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 15(1), pages 27-46, July.
    • Handle: RePEc:tei:journl:v:15:y:2022:i:1:p:27-46
    as

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    File URL: https://ijbesar.af.duth.gr/docs/volume15_issue1/15_01_03.pdf
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    References listed on IDEAS

    as
    1. Chen, Zhiyuan & Zhang, Jie, 2019. "Types of patents and driving forces behind the patent growth in China," Economic Modelling, Elsevier, vol. 80(C), pages 294-302.
    2. Boeing, Philipp & Mueller, Elisabeth, 2019. "Measuring China's patent quality: Development and validation of ISR indices," China Economic Review, Elsevier, vol. 57(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    China A-share; patent; ANOVA; stock return rate; claim count;
    All these keywords.

    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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