基于馬爾科夫狀態(tài)轉(zhuǎn)移GARCH模型的人民幣匯率波動(dòng)性研究
[Abstract]:Exchange rate has always been a hot research topic for economists at home and abroad, because it not only affects the economy of a country internally, but also affects the development of the international economy, so we understand the dynamics of the exchange rate and make a relatively effective prediction of the exchange rate changes. It is of great significance to study the economy of a country. With the rapid development of Chinese economy and the increasing degree of opening to the outside world, the status of RMB is constantly improving, and it has been paid more and more attention in the international trade and investment activities, especially in recent years, with the deepening of the reform of the exchange rate system in our country. China has begun to implement a managed floating exchange rate system based on market supply and demand. At the same time, the outside world is also constantly putting pressure on the appreciation of the RMB. These reasons make the fluctuation of RMB exchange rate more and more concerned at home and abroad. Therefore, this paper studies the volatility of RMB exchange rate by using Markov state transition GARCH model. After a theoretical review and a basic descriptive statistical analysis of the exchange rate, this paper makes an empirical analysis of the weekly rate of return data of the nominal exchange rate between the US dollar and the RMB from September 2, 1994 to March 01, 2013, using the ARCH family model. Then the Markov state transition GARCH model is used to analyze our sample data, and each model is used to describe the dynamic behavior of RMB exchange rate, and the advantages and disadvantages of each model in fitting effect are analyzed and compared. The final empirical analysis results show that Markov state transfer GARCH model can better fit the volatility of RMB exchange rate in China, and it is more practical. It shows that the Markov state transition GARCH model is more suitable for the study of RMB exchange rate volatility than the general ARCH family model.
【學(xué)位授予單位】:蘭州商學(xué)院
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F832.6;F224
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