摘要：Abst ract: The natural gas receives universal attention and priority use around the world because of its high quality and cleanness. The Organisation for Economic Co-operation and Development (OECD) countries’ data on imports of natural gas are rich in market information and have foresight. We quantify the role of the market in resource allocation. Based on the random matrix method, this article studies the correlation coefficient matrix of OECD countries’ natural gas imports by average correlation coefficients and explores the information that the natural gas imports market contains. At the same time, this article analyzes the risk and correlation in the OECD countries’ natural gas imports market by eigenvalues, regression analysis and absorption. Finally, combined with the clustering method, we synchronize and regionalize the OECD countries’ natural gas import market. We can find that the OECD countries’ natural gas imports are related by analyzing the correlation coefficient and the risk. Correlations in OECD countries’ natural gas imports market are high. We find that different eigenvalues have different effects on the OECD countries’ natural gas imports market by researching on the entropy of the eigenvalues. We can correctly predict the turning points of OECD countries’ natural gas imports and find the correlation coefficient matrix contains advanced market information. Through the method of absorption rate, the risk of the gas import market in OECD countries is further studied. It is found that the import of natural gas in OECD countries is large and the whole market is unstable. Through the method of dynamic clustering, it is found that the whole OECD countries have high synchronism in the market of natural gas import, except for Germany.
关键词：random matrix; linear regression; natural gas imports; market risk; clustering
