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Correlation Analysis between Stock Price and Accounting Profit Based on a Vector Autoregressive Model

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  • Yanlin Guo

Abstract

The study of accounting profitability was initiated by the famous American scholars Ball and Brown in the 1960s. In recent years, with the continuous development of market economy, the continuous improvement of the accounting legal system and accounting standards for enterprises has promoted the research on accounting profit in capital market in China. Due to the restriction of some objective conditions, there are not many valuable research results on the relationship between accounting earnings and stock price changes, and the research methods suitable for the study of accounting earnings still need to be explored and summarized. The China Securities Regulatory Commission (CSRC) has required listed companies to publish quarterly financial and accounting reports since 2002, and the condition of using the regression analysis method to study the accounting profit of listed companies is available. In this context, this paper designs a vector autoregressive model to study the correlation between stock price and accounting profit. First, combining the literature and the research results of accounting profit at home and abroad, this paper expounds the statistical analysis of accounting profit. Then, this paper analyzes the accounting profitability of listed companies in China from static and dynamic perspectives. Finally, according to the accounting profit status and profitability statistical analysis of accounting information, accounting profit and growth relationship, and accounting profit information and the relationship between stock prices, this paper is concluded. Also, this paper shows how to improve the profitability of listed companies and how can investors effectively use the accounting earnings information of listed companies for stock investment and put forward corresponding policy suggestions.

Suggested Citation

  • Yanlin Guo, 2022. "Correlation Analysis between Stock Price and Accounting Profit Based on a Vector Autoregressive Model," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:9320149
    DOI: 10.1155/2022/9320149
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    1. Cai, Zhaoyang & Liu, Qing & Cao, Shixiong, 2020. "Real estate supports rapid development of China's urbanization," Land Use Policy, Elsevier, vol. 95(C).
    2. Davide Rasella & Sanjay Basu & Thomas Hone & Romulo Paes-Sousa & Carlos Octávio Ocké-Reis & Christopher Millett, 2018. "Child morbidity and mortality associated with alternative policy responses to the economic crisis in Brazil: A nationwide microsimulation study," PLOS Medicine, Public Library of Science, vol. 15(5), pages 1-20, May.
    3. Peter Nystrup & Henrik Madsen & Erik Lindström, 2017. "Long Memory of Financial Time Series and Hidden Markov Models with Time‐Varying Parameters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(8), pages 989-1002, December.
    4. Liu, Chang & Wang, Yujie & Chen, Zonghai, 2019. "Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system," Energy, Elsevier, vol. 166(C), pages 796-806.
    5. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    6. Loc Dong Truong & Anh Thi Kim Nguyen & Dut Van Vo, 2021. "Index Future Trading and Spot Market Volatility in Frontier Markets: Evidence from Ho Chi Minh Stock Exchange," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 353-366, September.
    7. Chang, Bisharat Hussain & Sharif, Arshian & Aman, Ameenullah & Suki, Norazah Mohd & Salman, Asma & Khan, Syed Abdul Rehman, 2020. "The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach," Resources Policy, Elsevier, vol. 65(C).
    8. Kuo-Jung Lee & Su-Lien Lu, 2021. "The Impact of COVID-19 on the Stock Price of Socially Responsible Enterprises: An Empirical Study in Taiwan Stock Market," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    9. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.
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