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Published on 14 November 2024
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Jin,M. (2024). Research on the Short-Term Market Effect of Data Assets in Financial Statement—Take the 18 Listed Companies as Examples. Journal of Applied Economics and Policy Studies,12,69-76.
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Research on the Short-Term Market Effect of Data Assets in Financial Statement—Take the 18 Listed Companies as Examples

Minyang Jin *,1,
  • 1 Central University of Finance and Economics

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-5701/12/2024122

Abstract

In April 2024, 18 A-share listed companies such as Zhuochuang Zixun, Hengxin Dongfang and Hangtian Hongtu took the lead in setting an example, and first included data assets in the report of the first quarter of 2024. In the era of big data, data assets, as the "new favorite" of enterprises, have a deep influence on improving enterprise competitiveness, guiding enterprise decision-making, and optimizing enterprise operation. At the same time, whether they are included in the table will also affect investors decision-making, and bring impact and volatility to the stock market. This paper adopts the event research method, taking the above 18 trial enterprises as an example, aiming to study the short-term market effect of the data assets in the table. In this paper, it is found that the return rate of enterprises brought by the data assets into the table is not significant, or even decreased. At present, the right confirmation and cost management of data assets need to be further improved.

Keywords

data assets, event research method, market effect, cumulative return rate

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Cite this article

Jin,M. (2024). Research on the Short-Term Market Effect of Data Assets in Financial Statement—Take the 18 Listed Companies as Examples. Journal of Applied Economics and Policy Studies,12,69-76.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Journal of Applied Economics and Policy Studies

Volume number: Vol.12
ISSN:2977-5701(Print) / 2977-571X(Online)

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