基于GARCH族模型的農(nóng)業(yè)板塊股票價格波動的實證分析
[Abstract]:Due to the great development of China's economy and society in recent years, China's total economic output has leapt to the second largest in the world. China's domestic stock market has become the third largest market in the world, second only to the United States and Japan, and the number of stock market investors in the world is the largest. At the same time, the state attaches great importance to and supports agriculture, and the development of modern agriculture can not be separated from the securities market. As the country with the largest number of investors, the stock market should be better served for agriculture. The promotion effect of securities market to agriculture is realized by agricultural listed companies, and the fluctuation of stock price of agricultural listed companies will affect agricultural listed companies. Therefore, the study of the fluctuation law, characteristics and factors affecting the volatility of agricultural listed companies is of significance not only to the macro policy decision makers, managers and investors, but also to the development of agricultural modernization. In this paper, 58 stocks and indices of agriculture, forestry and fishery are selected as research objects, and the phenomenon and reasons of stock price fluctuation of agricultural listed companies are analyzed by descriptive statistical method. On this basis, the GARCH family model is used to study the stock price fluctuation of agricultural listed companies. The empirical results show that: first, there is a "February red" phenomenon in agricultural listed companies; second, there is a significant GARCH effect on the stock returns of agricultural listed companies. The distribution of daily yield of agricultural listed companies is not obedient to normal distribution, and there is obvious phenomenon of "peak and thick tail", and the square of residual error after fitting daily income has remarkable variability and aggregation. Thirdly, the coefficient 尾 (?) + 偽 (?) Very close to 1, indicating that the impact of conditional variance is durable, that is, shocks play an important role in predicting the future. Fourthly, when the stocks of agricultural listed companies are fitted with tch, it is found that the asymmetric effect is not significant, therefore, the volatility will not be significantly different under the influence of good news and good news.
【學位授予單位】:山東理工大學
【學位級別】:碩士
【學位授予年份】:2012
【分類號】:F324;F832.51;F224
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