Abstract
Stock valuation is an important aspect of corporate investment activities. But the current methods used by assets appraisal institutions in our country are not quite reasonable. In this paper, a stock valuation modeling method based on multiple linear regression analysis is proposed. It attempts to reveal the intrinsic relationship between stock price and financial indicators of a listed company. By making an empirical case study of listed mechanical industry companies, this paper validates the feasibility and adaptability of this new modeling method, and tries to set up a reasonable stock valuation model to be taken as a reference for assets evaluation institutions.
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Li, Q., Li, Am. (2013). Empirical Study on Stock Valuation Model Based on Multiple Linear Regression Analysis. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37270-4_46
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DOI: https://doi.org/10.1007/978-3-642-37270-4_46
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