Linear Regression Analysis of Stock Price Dynamics in China’s Alcohol Industry
DOI:
https://doi.org/10.61173/519sks79Keywords:
National housing prosperity index, Maotai’s stock prices, linear regression, COVID-19 impactAbstract
This paper investigates the stock price dynamics of China’s alcohol industry, with a particular focus on Maotai’s stock performance during the COVID-19 pandemic. The multiple linear regression models to analyze 441 groups of data from 2018 to 2024 show the impact of six economic factors-National Housing Prosperity Index, Retail Sales of Consumer Goods, Insurance Asset Management Registration Size, Public Finance Revenue, Consumer Price Index (CPI), and Keqiang’s Index-on Maotai’s earnings per share (EPS). The results indicate a strong positive correlation between the National Housing Prosperity Index and EPS. A key finding was the pandemic-induced shift in consumer behavior, favoring stable investments in high-end liquor like Maotai over real estate. Maotai’s role as a status symbol in Chinese society also increased demand, further driving its stock price growth. Overall, these predictions provide valuable guidance for investors seeking to understand market shifts in the alcohol industry and underscore the relevance of macroeconomic indicators in stock performance analysis.References
[1] Lu Z, Zhu L, Li X, Li Z. The Impact of the COVID-19 Pandemic on Consumer Behavior-Evidence From China’s Stock Market. Frontiers in Public Health, 2022, 10: 1-5.
[2] Duan S. MOUTAI Stock Price Prediction Based on ARIMA Model. Advances in Economics Management and Political Sciences, 2023, 14(1): 34-41.
[3] Li Y. The Impact of COVID-19 on China’s Real Estate Industry and the Outlook for Industry Trends. BCP Business & Management, 2022, 34: 337-343.
[4] Wang L, Guan Y, Li X. Correlation and Simple Linear Regression. Textbook of Medical Statistics, 2024, 46: 157-170.
[5] Pashankar S S, Shendage J D, Pawar J. Machine Learning Techniques For Stock Price Prediction - A Comparative Analysis Of Linear Regression, Random Forest, And Support Vector Regression. Journal Of Advanced Zoology, 2024, 45(S4): 118- 127.
[6] Tao S. Predicting BMW Stock Price Based on Linear Regression, LSTM, and Random Forest Regression. BCP Business & Management, 2023, 38: 335-340.
[7] Liang R. Research on the Influencing Factors of Shipping Industry Based on Linear Regression Model. Proceedings of the 6th International Conference on Economic Management and Green Development, 2023, 7.
[8] Bai X. The Comparative Analysis of Maotai Profitability. Highlights in Business Economics and Management, 2024, 24: 2577-2581.
[9] Umoro D, Omomoh O H. Devaluation and Stock Prices. The Central European Review of Economics and Management, 2023, 7(4).
[10] Victor E S, Razali M N, Ali H M. The Dynamics of the Impact of the Covid-19 Pandemic on Pan-Asia’s Real Estate Investment Trusts. Real Estate Management and Valuation, 2023, 31(4): 11-22.
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