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題名:國際散裝海運市場循環與趨勢特性分析
書刊名:運輸計劃
作者:張瀞之 引用關係王志敏
作者(外文):Chang, Ching-chihWang, Chih-ming
出版日期:2009
卷期:38:3
頁次:頁229-245
主題關鍵詞:散裝海運市場週期趨勢HP濾波法Bulk marketCycleTrendHedrick-Prescott filter
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:3
  • 共同引用共同引用:29
  • 點閱點閱:41
本文以X11季節分析法、Hedrick-Prescott filter濾波法、因果檢定,分析散裝海運4個子市場(1.運費;2.新船;3.二手船;4.拆解船)之季節性變動、循環、長期趨勢與關聯性。研究結果發現:(1)經X11季節分析法,運費市場季節波動幅度最大,新船市場波動幅度最小;(2)經Hedrick-Prescott filter濾波法分析,海運4個子市場之景氣循環,循環週期有逐漸縮短與波動劇烈之特性;(3)因果關係檢定獲知,運費市場是其它3市場之領先指標。本研究驗證發現,在2007年底散裝海運運費市場出現高峰轉折向下之跡象,建議船東可將營運船舶採取長期論時傭船方式出租船舶或降低船隊數量,以規避景氣反轉風險。
In this paper we adapt the X11 seasonal analysis, Hedrick-Prescott filter and Granger causality to examine the seasonality, cycle and trend of the international dry bulk market, based on freight rate, new ship, secondhand ship, and demolition prices. After our examination and analysis we found that the freight shipping market had the most volatility, when compared to others. However, the new shipping market had the lightest volatility by X11 seasonal analysis. The period of cycle began to shortened and fluctuating volatility according to the Hedrick-Prescott filter analysis of the bulk shipping market. Moreover, we found that the freight rate market is the leading indicator of the four sub-markets, by a Granger test. In this paper we suggest the ship-owner to create a strategy for long term time-charters or decrease the fleet number by following the shipping freight market cycle downward at the end of 2007.
期刊論文
1.利秀蘭(20030300)。我國第十次景氣循環高峰谷底之初步認定。經濟研究,3,1-16。new window  延伸查詢new window
2.Hodrick, R. J.、Prescott, E. C.(1997)。Post war business cycles an empirical investigation。Journal of Money Credit and Banking,29,1-16。  new window
3.林建甫(20060300)。臺灣總體經濟金融模型之建立。中央銀行季刊,28(1),5-41。new window  延伸查詢new window
4.Granger, Clive W. J.(1969)。Investigating causal relations by econometric models and cross-spectral methods。Econometrica: Journal of the Econometric Society,37(3),424-438。  new window
5.楊鈺池、王志敏(20061200)。海岬型船租金費率與船價波動關係之時間序列研究。運輸計劃,35(4),415-441。new window  延伸查詢new window
6.Choy, K. M.(2004)。The Aggregate Consumption Puzzle in Singapore。Journal of Asian Economics,15(3),563-378。  new window
7.陳建隆(2004)。我國人造纖維產業1984-2003年之景氣循環分析。臺灣人纖工業會訊,38,1-31。  延伸查詢new window
8.林師模、王治平(1998)。股市報酬與總體經濟變數跨頻譜帶之動態因果關聯。管理學報,15(2),207-229。new window  延伸查詢new window
9.郭慶旺、賈俊雪(2004)。中國週期性赤字和結構性赤字的估算。財貿經濟,6,36-42。  延伸查詢new window
10.Gouliflmos, A. M.、Psifia, M.(2006)。Shipping Finance: Time to Follow a New Track?。Maritime Policy & Management,33(3),301-320。  new window
11.Fazekas, M.(2006)。Analyzing Data of Childhood Acute Lymphoid Leukaemia by Seasonal Time Series Methods。Journal of Universal Computer Science,12(9),1190-1195。  new window
12.Iacobucci, Alessandra、Noullez, Alain(2005)。A Frequency Selective Filter for Short-length Time Series。Computational Economics,25(1),75-102。  new window
會議論文
1.United Nations Conference on Trade and Development(2006)。Review of Maritime Transport。  new window
2.United Nations Conference on Trade and Development(2007)。Review of Maritime Transport。  new window
研究報告
1.Bry, G.、Boschan, C.(1971)。Cyclical Analysis of Time Series : Selected Procedures and Computer Program。New York, NY:Columbia University Press。  new window
學位論文
1.Tsolakis, S.(2005)。Econometric Analysis of Bulk Shipping Markets Implications for Investment Strategies and Financial Decision-making,Rotterdam, Netherlands。  new window
圖書
1.董文泉、高鐵梅、姜詩章、陳磊(1998)。經濟週期波動的分析與預測方法。中國大陸:吉林大學出版社。  延伸查詢new window
2.Iliadis, I.(2005)。Measuring Risk in Shipping。Greece:Freight Metrics Ltd。  new window
3.Stopford, M.(1999)。Maritime Economics。Maritime Economics。London, UK。  new window
4.Klovland, J. T.(2002)。Business Cycles, Commodity Prices and Shipping Freight Norwegian Ship-owners。Business Cycles, Commodity Prices and Shipping Freight Norwegian Ship-owners。Norway。  new window
其他
1.Organisation for Economic Co-operation and Development(2006)。Composite Leading Indicators for Major OECD Non-member Economies (Brazil, China, India, Indonesia, Russian Federation, South Africa) and Recently New OECD Member Countries (Korea, New Zealand, Czech Republic, Hungary, Poland, Slovak Republic)。  new window
 
 
 
 
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