Studies On Relationship Between Intrinsic Value And Stock Price In Agricultural Listed Companies

China has always been a major agricultural country, with the economic development and China's capital market gradually matures, more and more people invest on agriculture, are also increasingly concerned about the intrinsic value of agriculture, the paper is about studies on relationship between intrinsic value and stock price in agricultural listed companies, in order to have a better investment. However, there are a lot of evaluation methods of the intrinsic value, for example , qualitative, quantitative and value estimate. According to previous research results, as well as in recent years, residual income model and gradually raised the importance, I believe that the model is applicable to listed companies in China's agriculture estimates of intrinsic value.In this paper, the intrinsic value of agriculture listed companies during 1994 - 2007 ,which is about 14 years is based on the residual income model of Olsen-based and then with the result above, I could study the relationship between intrinsic value and stock price in agricultural listed companies ,and reveal China's agricultural value of the stock market prices and changes in the law, at the same time analyze its magnitude of the bubble, the impact on stock prices and financial factors research, draw useful conclusions, in view of China's stock market to gradually improve. This article is mainly for China's agricultural industry, provide investors with more relevant evidence to guide people to a rational investment, promote capital market of China's agricultural development of the healthy and orderly.In this paper, the basis of previous residual income model to quote directly from the basic concept, company's intrinsic value ,the use of empirical research and qualitative research methods, listed companies on China's agriculture to explore the research of intrinsic value, the impact of agriculture and stock prices of listed companies analysis of financial factors tested, but both the model itself or the entire course of the study there are certain limitations, future research needs to continue improvement.