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Empirical Study on Stock Valuation Model Based on Multiple Linear Regression Analysis

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Qing Li

    (Zhengzhou University)

  • Ai-min Li

    (Zhengzhou University)

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.

Suggested Citation

  • Qing Li & Ai-min Li, 2013. "Empirical Study on Stock Valuation Model Based on Multiple Linear Regression Analysis," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 479-486, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-37270-4_46
    DOI: 10.1007/978-3-642-37270-4_46
    as

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