Connections between the Dry Bulk Freight Index and the Cyclical Economic Activity of the G7 Countries

• Autorzy: Wagner N.
• Języki publikacji: EN

Abstrakty

EN

The article analyses the connections between the dry bulk freight market and the economic activity of certain countries. The objective was to confirm the existence of a similar cyclical nature for the Baltic Dry Index and main indicators of the business cycle of the G7 countries. The applied macroeconomic variables were: the real GDP and the industrial production index. In examination a spectral analysis was used. The discovered identical periodicities were analyzed in terms of time relations. It was demonstrated, that the cyclical part of the BDI (periodicity of 13.1 and 15.3 quarters) either leads or is coincident with the indicators of the business cycle. The global financial crisis in 2008-2009 showed that the behaviour of freight indices was similar to stock exchange indices and macroeconomic variables in advanced economies. It is worth to observe shipping market because higher values of freight indices could anticipate increasing demand for sea trade and economic growth.

Słowa kluczowe

EN

shipping market; business cycle; Baltic Dry Index; freight index; spectral analysis

• Wydawca: Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu
• Czasopismo: Logistics and Transport
• Rocznik: 2015
• Tom: Vol. 25, No. 1
• Strony: 71--82
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Wagner N.

• Maritime Academy in Szczecin, Poland

Bibliografia

• [1] Antonakakis, N., Scharler, J., 2012. The synchronization of GDP growth in the G7 during US recessions, Applied Economics Letters 19, 7-11.
• [2] Aruoba, S. B., Diebold, F. X., Kose, A. M., Terrones, M. E., 2010. Globalization, the Business Cycle, and Macroeconomic Monitoring, NBER Working Paper #16264.
• [3] Baxter, M., King R. G., 1995. Measuring Business Cycles. Approximate Band-Pass Filters for Economic Time Series, NBER Working Paper # 5022.
• [4] Bordo, M. D., Helbling, T. F., 2010. International Business Cycle Synchronization in Historical Perspective, NBER Working Paper # 16103.
• [5] Brunet O., Nilsson R., 2006. Composite Leading Indicators for Major OECD Non-Member Economies, OECD Statistics Working Papers # 1,
• [6] Burns, A.F., Mitchell, W.C., 1946. Measuring Business Cycles, National Bureau of Economic Research.
• [7] Furceri, D., Karras, G., 2008. Business-cycle synchronization in the EMU, Applied Economics 40, 1491-1501.
• [8] Hamilton, J. D., 1994. Time Series Analysis, Princeton University Press, Princeton
• [9] Hodrick, R. J., Prescott, E.C., 1997. Postwar US Business Cycles: An Empirical Investigation, Journal of Money, Credit and Banking 29, 1-16.
• [10] Iacobucci, A., 2003. Spectral Analysis for Economic Time Series, Documents de travail, OFFICE.
• [11] Jansen, W.J., Stokman, A. C., 2014. International business cycle co-movement: the role of FDI, Applied Economics 46, .383 - 393
• [12] Kydland, F. E, Prescott E. C., 1990. Business Cycles: Real Facts and a Monetarny Myth, Federal Reserve Bank of Minneapolis. Quarterly Review” # 4.
• [13] M. D. Bordo, M., Helbling T. F., 2003. Have National Business Cycles Become More Synchronized, NBER Working Paper #10130.
• [14] Ravn, M. O., Uhlig, H., 2002. On Adjusting the Hodrick-Prescott Filter for the Frequency of Observations, The Review of Economics and Statistics 84, 371-376.
• [15] Recessions and Recoveries, Economic Outlook, IMF, April 2002.
• [16] Shipping Statistics and Market Review. Shipping Statistics and Market Review, ISL, Bremen.
• [17] Stock, J., Watson, M., 2003. Understanding Changes In International Business Cycle Dynamics, NBER Working Paper # 9859.
• [18] Stopford, M., 2006. Maritime Economics, Routledge, London.
• [19] Zarnowitz, V., 1992. Business Cycles: Theory, History, Indicators and Forecasting, The University of Chicago Press, Chicago.