题名

國際散裝海運市場循環與趨勢特性分析

并列篇名

An Empirical Analysis of the Cycle and Trend of the International Bulk Carrier Market

DOI

10.6402/TPJ.200909.0229

作者

張瀞之(Ching-Chih Chang);王志敏(Chih-Ming Wang)

关键词

散裝海運市場 ; 週期 ; 趨勢 ; HP濾波法 ; Bulk market ; Cycle ; Trend ; Hedrick-Prescott filter

期刊名称

運輸計劃季刊

卷期/出版年月

38卷3期(2009 / 09 / 30)

页次

229 - 245

内容语文

繁體中文

中文摘要

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。

英文摘要

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.

主题分类 工程學 > 交通運輸工程
社會科學 > 管理學
参考文献
  1. 楊鈺池、王志敏(2006)。海岬型船租金費率與船價波動關係之時間序列研究。運輸計劃季刊,35(4),415-442。
    連結:
  2. Bry, G.,Boschan, C.(1971).National Bureau of Economic Research.New York:Columbia University Press.
  3. Choy, K. M.(2004).The Aggregate Consumption Puzzle in Singapore.Journal of Asian Economics,15(3),563-578.
  4. Fazekas, M.(2006).Analyzing Data of Childhood Acute Lymphoid Leukaemia by Seasonal Time Series Methods.Journal of Universal Computer Science,12(9),1190-1195.
  5. Gouliflmos, A. M.,Psifia, M.(2006).Shipping Finance: Time to Follow a New Track?.Maritime Policy & Management,33(3),301-320.
  6. Granger, C. W. J.(1969).Investigating Causal Relations by Econometric Model and Cross-Spectral Methods.Ecomometrica,37,424-438.
  7. Hodrick, R.,Prescott, E. P.(1997).Postwar Business Cycles: An Empirical Investigation.Journal of Money, Credit, and Banking,29,1-16.
  8. Iacobucci, A.,Noullez. A.(2005).A Frequency Selective Filter for Short-Length Time Series.Computational Economics,25(1),75-102.
  9. Measuring Risk in Shipping
  10. Klovland, J. T.(2002).Business Cycles, Commodity Prices and Shipping Freight Norwegian Ship-owners.Association and the Research Council of Norway.
  11. 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)
  12. Stopford, M.(1999).Maritime Economics.London:Routeledge.
  13. Tsolakis, S.(2005).Rotterdam,Erasmus University.
  14. UNCTAD(2007).REVIEW OF MARITIME TRANSPORT.Report by the United Nations Conference on Trade and Development Secretariat,Geneva, Switzerland:
  15. UNCTAD(2006).REVIEW OF MARITIME TRANSPORT.Report by the United Nations Conference on Trade and Development Secretariat,Geneva, Switzerland:
  16. 利秀蘭(2003)。我國第十次景氣循環高峰谷底之初步認定。經濟研究年刊,3,1-16。
  17. 林建甫(2006)。臺灣總體經濟金融模型之建立。央行季刊,28(1),5-41。
  18. 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。
  19. 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。
  20. 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。
  21. 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:吉林大學出版社。