农业上市公司的相关性研究外文翻译.doc

外文 原文 Research on the Dependence of Agriculture Listed Companies Material Source: Journal of Agricultural Science Vol. 2, No. 2, June 2010 Author: Pei-song Mu With the development of times, the mutual dependence and influence among the financial market growing with each passing day, gregariousness and continuity are more and more obvious in stock market. Cluster refers to a greater probability of large fluctuations will be presented after a large volatility, and the greater probability of small fluctuations will be also presented after a small volatility. The emergence of clustering often affects the stability of the stock market, giving some investors huge profits, while giving some other investors a huge loss. Due to the uncertainty of its occurrence on the clustering, it is difficult to study on it. In 1959, Sklar puts forward that a joint distribution can be decomposed into its k-edge distribution and a Copula function, then theCopula functions describe the correlation structure between the variables. Subsequently, the theory is applied to study the volatility of financial data by many scholars, and dependence of the model between random variables is presented. As a result, it provides a new thoroughfare for the study of cluster in stock market. The main purpose of the study on correlation is to determine how the random variable changes while other random variables change. The size of the correlation coefficient reflects the size of probability of the possibility of simultaneous extremum among observed variables. For example, the correlation between the Shanghai and Shenzhen stock market could reflect the simultaneously possibility of big fluctuations of two stock markets; If the research is the correlation between individual stocks, the correlation reflects the twists and turns of a stock whether accompanied by another stock spike. For investors, if a variety of stocks that he held fell slightly at the same time, it ma