Studies on Factors and Trend Prediction on Liner Shipping Freight Rates

碩士 === 國立交通大學 === 運輸科技與管理學系 === 96 === The container transportation began in 1960s. After several decades,it has become a mature industry and been competing violently. In recent years,China becomes one of the most important economies in Pacific-Asia area, but only few papers discussed China’s mariti...

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Main Authors: Yang Chin Hua, 楊金樺
Other Authors: Shang-Hsing Hsieh
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/64893689376954801399
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spelling ndltd-TW-096NCTU54230122015-10-13T13:51:49Z http://ndltd.ncl.edu.tw/handle/64893689376954801399 Studies on Factors and Trend Prediction on Liner Shipping Freight Rates 定期船運價決定因素與趨勢預測之研究 Yang Chin Hua 楊金樺 碩士 國立交通大學 運輸科技與管理學系 96 The container transportation began in 1960s. After several decades,it has become a mature industry and been competing violently. In recent years,China becomes one of the most important economies in Pacific-Asia area, but only few papers discussed China’s maritime freight rate in terms of China economic development. The growth of China maritime industry brings many changes for marine market. With establishment of European Union,and members of EU is increasing,the economic development of these members must have obvious impact on liner marine freight rate. Therefore it can expect the economic development and some macro variables of EU members have influence on the trend of fluctuation about liner marine freight rate. Regression model and time series model were the main tools in most of previous researches about marine freight rate prediction. They needed large amount of data for testing the probability distribution and curve fitting. In historical data perspective,marine freight rate increases rapidly only about ten-year period. Therefore, collecting data basic freight、BAF、CAF、PSS of two liner shipping company COSCO and HANJIN about the route from Far East to Europe. And we will also use Gray Theory to make the analysis and prediction, because it does not need large amount of data to formulate the model. We also try ARIMA time series, and compare the results. Expecting to provide references about decision-making for liner shipping company and shippers. Shang-Hsing Hsieh 謝尚行 2008 學位論文 ; thesis 75 zh-TW
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description 碩士 === 國立交通大學 === 運輸科技與管理學系 === 96 === The container transportation began in 1960s. After several decades,it has become a mature industry and been competing violently. In recent years,China becomes one of the most important economies in Pacific-Asia area, but only few papers discussed China’s maritime freight rate in terms of China economic development. The growth of China maritime industry brings many changes for marine market. With establishment of European Union,and members of EU is increasing,the economic development of these members must have obvious impact on liner marine freight rate. Therefore it can expect the economic development and some macro variables of EU members have influence on the trend of fluctuation about liner marine freight rate. Regression model and time series model were the main tools in most of previous researches about marine freight rate prediction. They needed large amount of data for testing the probability distribution and curve fitting. In historical data perspective,marine freight rate increases rapidly only about ten-year period. Therefore, collecting data basic freight、BAF、CAF、PSS of two liner shipping company COSCO and HANJIN about the route from Far East to Europe. And we will also use Gray Theory to make the analysis and prediction, because it does not need large amount of data to formulate the model. We also try ARIMA time series, and compare the results. Expecting to provide references about decision-making for liner shipping company and shippers.
author2 Shang-Hsing Hsieh
author_facet Shang-Hsing Hsieh
Yang Chin Hua
楊金樺
author Yang Chin Hua
楊金樺
spellingShingle Yang Chin Hua
楊金樺
Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
author_sort Yang Chin Hua
title Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
title_short Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
title_full Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
title_fullStr Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
title_full_unstemmed Studies on Factors and Trend Prediction on Liner Shipping Freight Rates
title_sort studies on factors and trend prediction on liner shipping freight rates
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/64893689376954801399
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