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Study on Financial Early Warning Listing Corporation Based on MVA

Author: LiNianQiu
Tutor: WangFangMing
School: Hangzhou University of Electronic Science and Technology
Course: Accounting
Keywords: Financial crisis Financial early warning Value loss MVA
CLC: F276.6
Type: Master's thesis
Year: 2014
Downloads: 1
Quote: 0
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Abstract


No one enterprise wants itself being caught in the financial crisis situation.If there is asystematic theoretical research method to help enterprises pre-detecting its future financialcondition whether it will occur financial crisis. In turn, enterprise can take action to improve futurefinancial results in advance, take precautions to avoid damage to investors, employees andgovernment’s interests. What is there against it!The text is the study of such a system of theoretical studies, namely financial early warning.Based on the previous studies, I put forward my own point of view: that corresponds with the valuecreation impaired behavior and financial crisis has a direct causal link, to avoid the occurrence offinancial crises should first act to avoid impairment of enterprise value; in addition I believes thatthe market value added (MVA) index directly reflects the ability of creating value. When it isintroduced into the field of financial early warning, it may be more effectively to reflect thepredictive power of the model. Combining with commonly used traditional financial indicators andusing logistic regression analysis, the paper empirical analysis of the MVA-based listed companies’financial early warning research.First of all, the paper constructs MVA-based financial early warning systems theory. The basictheory is the theory of the Business Cycle theory and Crisis Management theory, with the theory ofInternal Risk Control theory and the theory of Value as its relevant theory, with the trade-off theory,contract theory and value chain management theory as its innovation theory. After that, the paperconstructs an empirical research system. Results show that the model not only predicts moreaccurate after introducing MVA indicators, but also explains with the most powerful explanationafter testing the model’s financial indicators. The highest degree of model fit explanatory variablesis the indicator of per MVA.Significance of this study is obvious and the innovation of this article is enough. In the financialearly warning field, MVA which is an indicator of value creation should get more attention andresearch.

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