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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Li, Q., & Li, A. M. (2013). Empirical study on stock valuation model based on multiple linear regression analysis. In 19th International Conference on Industrial Engineering and Engineering Management (pp. 479–486). https://doi.org/10.1007/978-3-642-37270-4_46
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