Valuation Analysis of Chinese and American Listed Companies Based on Multiple Linear Regression and Grey Forecasting Model
Authors: 
Jinke Li, Qiang Zhang, ZhiJun Zhang, Fan Wang, Xijie LiAuthors Info & Claims
Pages 202 - 207
Abstract
With the development of China's economic globalization, the stock market has gradually demonstrated its important position in the development of China's market economy. First, this paper selects the average market-to-sales ratio as the valuation level, uses an evaluation model to calculate the valuation level of the Chinese A-share market and the US NASDAQ market in 2018, and calculates the valuation premium or discount level of these two markets. Secondly, we establish a multiple linear regression model to quantitatively analyze the relationship between the valuation indicators and fundamental indicators and liquidity indicators of China A-shares and the US NASDAQ market. Then, a grey forecast model is established to predict and analyze the fundamental indicators and liquidity indicators of the Chinese A-share market and the US NASDAQ market in 2019. According to the forecast results, the valuation indicators of these two markets in 2019 are calculated. The results found that the valuation level of my country's first batch of sci-tech innovation board companies fluctuates around 5 times, which is smaller than that of the United States, indicating that China's stock market has greater potential.
References
[1]
Yudhawan, D. H., and T. Purwaningsih . "Developing support vector regression model to forcast stock prices of mining companies in Indonesia." Jurnal Informatika 14.2(2020):43.
[2]
Chi, S. C., H. P. Chen, and C. H. Cheng . "A forecasting approach for stock index future using grey theory and neural networks." International Joint Conference on Neural Networks IEEE, 1999.
[3]
Chi, G., and Z. Li . "Forecast model of stock index futures prices based on small sample." icic express letters part b applications an international journal of research & surveys (2014).
[4]
Salehi, M., and N. Dehnavi . "Audit report forecast: an application of nonlinear grey Bernoulli model." Grey systems: theory and application 8.3(2018):295-311.
[5]
Zeng, M. X., W. Ouyang, and Z. Q. Zhen . "Application of GM (1,1) Model to Production Demand Forecast for Make-to-Stock Enterprise." Advanced Materials Research 823(2013):602-605.
[6]
Lei, L. U., and S. O. Sciences . "Combinational Stock Price Forecasting Based on Multiple Regression and Technical Analysis." Journal of Shanghai Institute of Technology(Natural Science) (2014).
[7]
Offiong, R. A., and A. I. Iwara . "Quantifying the Stock of Soil Organic Carbon using Multiple Regression Model in a Fallow Vegetation, Southern Nigeria." Ethiopian Journal of Environmental Studies and Management 5.2(2012).
[8]
Enke, D., M. Grauer, and N. Mehdiyev . "Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks." Procedia Computer Science 6.1(2011):201-206.
[9]
Kamila Bednarz-Okrzyńska. "Estimation of the distribution of α-stable return rates of stock market indices based on the criterion of minimization of chi-square statistics." European Journal of Service Management 28(2018):55-64.
[10]
Paye, B. S., and A. Timmermann . "How Stable are Financial Prediction Models? Evidence from US and International Stock Market Data." University of California at San Diego Economics Working Paper (2002).
[11]
Forbes, K., and R. Rigobon . "No Contagion, Only Interdependence: Measuring Stock Market Comovements." The Journal of Finance 57.5(2010):2223-2261.
[12]
Council, N. . "Quality-Protein Maize: Report of an Ad Hoc Panel of the Advisory Committee on Technology Innovation Board on Science and Technology for International Development National Research Council, in Cooperation With the Board on Agriculture National Research Co." (1969).
[13]
Wang, J. . "Five Important Administrative Law Issues on Science and Technology Innovation Board in China." (2019).
[14]
Yang, H. E. . "Science and technology innovation board: creating a new situation in the capital market." Information and Communications Technology and Policy (2019).
[15]
Wang, L., and Y. Xiong . "Research on Financial Risk Early Warning of Listed Companies on the Science and Technology Innovation Board Based on the Life Cycle Perspective." 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021) 2021.
[16]
Cong, R. G., "Relationships between oil price shocks and stock market: An empirical analysis from China." Energy Policy 36.9(2008):3544-3553.
[17]
Orabi, Mma . "An Empirical Study on the Relationship between Stock Market Index and the National Economy Growth: the Case of Jordan." EUR-ISS-CIRI 15.30(2013):389-410.
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Published In
August 2021
207 pages
ISBN:9781450390477
DOI:10.1145/3484274
Copyright © 2021 ACM.
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Association for Computing Machinery
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Published: 23 November 2021
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ICCCV'21
ICCCV'21: 2021 4th International Conference on Control and Computer Vision
August 13 - 15, 2021
Macau, China
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