The Impact of Digital Transformation on Analyst Forecast Accuracy

Authors

  • Shiting Chen

DOI:

https://doi.org/10.54691/bcpbm.v21i.1263

Keywords:

Digital Transformation, analysts, A-shared

Abstract

This paper studies the impact of the degree of digital transformation on the accuracy of analysts' forecasts, based on A-shared listed companies from 2007 to 2020. The results show that the degree of digital transformation has a positive impact on the accuracy of analysts' forecasts, and the quality of accounting information plays a positive moderating role between the degree of digital transformation and the accuracy of analysts' forecasts. In a further group test, it was found that for state-owned enterprises, digital transformation can significantly improve the accuracy of analysis and prediction; in addition, in a bull market, digital transformation has a significant impact on the accuracy of analysis and prediction, but in a bull market, the impact is not significant; The quality of accounting information plays a significant moderating role in the above effects. This paper can help enterprises to take advantage of digital transformation and improve the accuracy of analysts' forecasts, providing some inspiration for the government to formulate relevant policies to improve the quality of accounting information of enterprises.

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References

Yi Luxia, Wu Fei, Chang Xi. Enterprise digital transformation process and main business performance: empirical evidence from the text recognition of annual reports of Chinese listed companies [J]. Modern Finance (Journal of Tianjin University of Finance and Economics), 2021, 41( 10): 24-38.

Wang Haifang, Jiang Daoping, Xu Ying. Can digital transformation improve the quality of information disclosure? --A study based on the readability of annual reports [J]. Management Modernization, 2022, 42(02): 58-65.

Hu Xiaoxiao. Research on the influencing factors of analyst forecast quality [J]. Modern Commerce and Industry, 2021, (04): 109-11.

VIAL G. Understanding digital transformation: A review and a research agenda [J]. Managing Digital Transformation, 2021: 13-66.

Zhao Yuxun, Du Zizhe. Digital Economy, Employment Structure and Employment Quality [J]. Journal of Fujian Financial Management Cadre College, 2022, (01): 25-35.

Gao Yunming. A Brief Discussion on the Impact of Digital City Construction on Urbanization and Regional Economic Development [J]. The Impact of Digital Transformation on Employment and Economic Development, 2003, (01): 123-4.

Feng Suling, Xu Dehui. Analysis of the Influence Mechanism of Digital Industrialization on Industrial Structure Upgrade--An Empirical Analysis Based on China's Provincial Panel Data from 2010 to 2019 [J]. Dongyue Lun Cong, 2022, 43(01): 136 -49+92.

BARENJI AV, BARENJI RV, ROUDI D, et al. A dynamic multi-agent-based scheduling approach for SMEs [J]. The International Journal of Advanced Manufacturing Technology, 2017, 89(9): 3123-37.

Qi Huaijin, Cao Xiuqin, Liu Yanxia. The Impact of Digital Economy on Corporate Governance: From the Perspective of Information Asymmetry and Managerial Irrational Behavior [J]. Reform, 2020, (04): 50-64.

Wu Fei, Hu Huizhi, Lin Huiyan, et al. Enterprise digital transformation and capital market performance: Empirical evidence from stock liquidity [J]. Management World, 2021, 37(07): 130-44+10.

Gu Wenlin, Hou Yong, Zhang Xinyu. Multiple Influences of Accounting Information Quality on Securities Analysts' Forecasts [J]. Journal of Wuhan University of Technology (Information and Management Engineering Edition), 2015, (6): 790-4.

Yan Zhijuan, Wang Shan. Will corporate strategic differences affect analysts' earnings forecasts? [J]. Journal of Nanjing Audit University, 2019, 16(01): 9-18.

CLEMENT M B. Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter? [J]. Journal of accounting and Economics, 1999, 27(3): 285-303.

Lv Zhaode, Zeng Xuehan. Gender, Earnings Forecast Bias and Correction Ability of Securities Analysts [J]. Journal of Beijing Technology and Business University: Social Science Edition, 2016, (5): 10.

Liu Zhinan, Yi Jingyu, Wang Shanshan. Environmental uncertainty, information disclosure quality and analyst earnings forecast [J]. Chinese Certified Public Accountants, 2021, (04): 58-62.

YANHONG G, SHUAI J, YANPING C. Differences in the Predictive Value of Analyst Rating between Bull and Bear Markets--Based on Chinese Securities Market Data during 2005-2016 [J]. Management Review, 2019, 31(8): 14.

Wei Yanlin, Zhang Junrui, Wang Fangjun, et al. Research on the relationship between data asset information disclosure and analysts' earnings forecasts: empirical evidence based on text analysis [J]. Chinese Journal of Management Engineering: 1-12.

Song Li, Zhang Mingyao. Inquiry letter supervision, accounting information quality and analyst earnings forecast [J]. Journal of Shenyang University of Technology (Social Science Edition), 2021.

DICHEV I D, TANG V W. Earnings volatility and earnings predictability [J]. Journal of accounting and Economics, 2009, 47(1-2): 160-81.

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Published

2022-07-20

How to Cite

Chen, S. (2022). The Impact of Digital Transformation on Analyst Forecast Accuracy. BCP Business & Management, 21, 380-391. https://doi.org/10.54691/bcpbm.v21i.1263