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The Dynamics And Correlation Analysis Of Natural Gas Imports In OECD Countries

Posted on:2018-10-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:2310330533459189Subject:Mathematics
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The natural gas receives universal attention and priority use around the world because of its high quality and cleanness.Based on the random matrix method,this article researches on the correlation coefficient matrix of OECD countries' natural gas imports by average correlation coefficients and explores the information that natural gas imports market contains.At the same time,this article analyzes the risk and correlation in OECD countries' natural gas imports market by eigenvalues,regression analysis and absorption.This article studies the synchronization of the OECD countries' natural gas imports market and divides the OECD countries' natural gas imports market by the clustering algorithm at last.This article uses the monthly data of natural gas imports of Australia,Norway,Germany,Dutch,Canada,America and England from January 1999 to February 2016.Then we standardize the data and calculate the correlation coefficient matrix tC)(.Based on the random matrix method,we can find that the OECD countries' natural gas imports are related by analyzing the correlation coefficient.Meanwhile the risk and correlation in OECD countries' natural gas imports market are high.The different eigenvalues have different effects on the OECD countries' natural gas imports market by researching on the entropy of the eigenvalues.The OECD countries' natural gas imports market can be divided according to the time sequence by using the correlation coefficient matrix tC)(,combination of eigenvectors and linear regression.We can correctly predict the turning points of OECD countries' natural gas imports and find the correlation coefficient matrix tC)(contains advanced market information.We further study the risk in the OECD countries' natural gas imports market by the absorption method and find that the risk is very high in the OECD countries' natural gas imports market.The whole market is very unstable and the risk has become much higher than before in the market since 2013.We divide the OECD countries' natural gas imports market and analyze the synchronization by using thedynamic clustering method.And we obtain that six countries' natural gas imports markets have high synchronization except Germany.The seven countries can be divided into four types at the same time.
Keywords/Search Tags:Correlation coefficient, Random matrix, Linear regression, Natural gas imports, Market risk, Clustering
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