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Analysis On The Difference Of International Oil Price To Chinese And Japanese Stock Market And The Countermeasures

Posted on:2018-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:C WangFull Text:PDF
GTID:2359330515493385Subject:International business
Abstract/Summary:PDF Full Text Request
China has gradually strengthened the development and application of new energy sources.Oil has always occupied a dominant position in the energy market.Oil supply and demand will directly affect the world economy and energy.Oil is one of the main sources of energy.The political and economic development strategies in the world can not be separated from the support of energy strategy.Oil has dual attributes,that is,international goods and finance as a whole.At the same time,the financial attributes of oil can reflect the dominant position of the national economy.When the oil price changes,it will also play a very important role in a country's economy.For the full range of research on oil market price volatility,comprehensive analysis of the relationship between domestic and international oil market,contribute to rapid convergence with the international oil market,has important practical significance to the market risk management.Based on the above content,This paper focuses on the role of oil prices in China and Japan stock markets and the related countermeasures.In this paper,the research environment and the significance of the research are summarized,and the research situation at home and abroad are introduced one by one.So that we can grasp the problem and the dynamic situation of the whole system.The reasons for the fluctuation of international energy price in China's stock market.Based on the present situation of China's stock market,this paper makes a comprehensive research and Analysis on the economic impact of the high energy consumption in developing countries.This paper makes an in-depth analysis of the relationship between the international energy price and China's oil price.To start with the international energy market,further to the research object of this article has been confirmed since 2002 until now,the international oil price changes are introduced in detail,and combining with the actual situation,the research data was divided into stages of.Based on the oil price index,this paper expounds the situation of China's oil and its stock market,and makes a clear analysis of the structure of the stock price index.In this paper,based on the length and duration of the two levels,a systematic analysis of the relationship between the international energy price and the oil price in China.Based on the exponential relationship,a lot of research methods are adopted,such as co integration test,VAR model and so on.Points out that the traditional linear Granger causality test method can not take into account the potential nonlinear relationship between domestic stock market prices and international oil prices between the two,and then use the decision tree algorithm of data mining,and validated the rule of causal relationship,and made a scientific summary of the long-term impact of the decision tree algorithm can be played on the price make a reasonable conclusion,which comprises the following steps: first,describes the two methods of decision tree and data mining;second,empirical research needs to be done with the help of Clementine software;third,by controlling variables,effectively integrated with SPSS software,make scientific data for processing,finally,horizontal and vertical comparisons.Through a lot of theoretical and empirical research,we can know that China's stock market will be hit by the international oil price.China needs to quickly build its own oil reserve system.In order to develop a scientific response mechanism for major emergencies.Increase their comprehensive strength,in order to occupy an adequate position in the international oil market,it can prevent the domestic economy from being threatened by the fluctuation of oil price.
Keywords/Search Tags:oil prices, relation test, data mining, control variable method
PDF Full Text Request
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