An application of dynamic factor model to dry Bulk Market - focusing on the analysis of synchronicity and idiosyncrasy in the sub-markets with different ship - size

Ko, Byoung Wook (2010): An application of dynamic factor model to dry Bulk Market - focusing on the analysis of synchronicity and idiosyncrasy in the sub-markets with different ship - size. Forthcoming in: KMI International Journal of Maritime Affairs and Fisheries , Vol. 3, No. 1

Abstract

BDI actually has weighed more on larger-size market. So, calculating the synchronicity of dry bulk sub-markets by using BDI as reference indicator could lead to mistake. Therefore, for the analysis of synchronicity and idiosyncrasy of dry bulk markets, this paper constructs a dynamic factor model of the change rate of BDI’s constituting indices and then it performs maximum likelihood estimation. One important finding is that, for such larger ships as Capesize and Panamax, there has been a significant increase in their synchronicity with global common factor after the 2008 global financial crisis, but for the other smaller ships, the opposite phenomenon has been observed. This paper suggests two important future research topics. One is extending the suggested dynamic factor model with the structural change (regime switching). The other is constructing a new index for the level, not the change rate, of the status of global dry bulk market. The author believes that the combination of these issues could produce an alternative index to BDI.

• Item Type: MPRA Paper
• Language: English
• Keywords: Dynamic Factor Model; Synchronicity and Idiosyncrasy; Structural Change
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation; F - International Economics > F0 - General

References

Alizadeh, A and N. Nomikos (2009) Shipping Derivatives and Risk Management, Palgrave Macmillan.

Chen, S., H. Meersman and E. Voorde (2010) Dynamic Interrelationships in Returns and Volatilities between Capesize and Panamax Markets. Maritime Economics & Logistics 12, pp. 65~90.

Chung, K. J. and Y. Ha (2010a) The Empirical Analysis for the Effect of Global Finance-Crisis to the Baltic Dry Index, Journal of Shipping and Logistics Vol. 64, pp. 1~16.

Chung, K. J. and Y. Ha (2010b) The Structural Change in the BDI Function due to the Global Financial Crisis: Using the Kalman Filter, Journal of Shipping and Logistics Vol. 65, pp. 217~231.

Geweke, J. (1977) The Dynamic Factor Analysis of Economic Time Series. in Latent Variables in Socio-Economic Models, Aigner, D. and A. Goldberger (eds), North-Holland.

Kim, C., and C. Nelson (1999) State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications, The MIT Press.

Ko, Byoung-wook (2010a) A Mixed-Regime Model for Dry Bulk Freight Market, The Asian Journal of Shipping and Logistics Vol. 26 No. 2.

Ko, Byoung-wook (2010b) A Study on the Change of the Dynamics of Dry Bulk Market before and after the 2008 Global Financial Crisis – applying the counterfactual analysis to VAR model, Ocean Policy Research Vol. 25 No. 2, Korea Maritime Institute.

Macho, F., A. C. Harvey and J. H. Stock (1987) Forecasting and Interpolation Using Vector Autoregressions with Common Trends. Annales d’Economie et de Statistique No. 6/7, pp. 279~287.

Pesaran, M. H., H. Y. Shin, and R. Smith (2001) Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics 16, pp. 289~326.

Rim, J., W. Kim and B. Ko (2010) An Empirical Analysis of the Dry Bulk Market Using a Recursive VAR Model. Journal of Shipping and Logistics Vol. 64, pp. 17~35.

Sargent, T. J. and C. A. Sims (1977) Business Cycle Modeling without Pretending to Have Too Much a Prior Economic Theory in New Methods in Business Cycle Research, Sims, C. A. et al. (eds), Federal Reserve Bank of Minneapolis.

Stock, J. H and M. W. Watson (2008) forecasting in dynamic factor models subject to structural instability in The Methodology and Practice of Econometrics, A Festschrift in Honour of Professor David F. Hendry, Jennifer Castle and Neil Shephard (eds), Oxford: Oxford University Press.

Stock, J. H and M. W. Watson (2006) Forecasting with Many Predictors. in Handbook of Economic Forecasting, Vol. 1, Elliot, G. et al (eds), North-Holland, pp. 515~554.

Stock, J. H and M. W. Watson (2005) Implications of Dynamic Factor Models for VAR Analysis, NBER Working Paper No. 11467.

Stock, J. H and M. W. Watson (1991) A Probability Model of the Coincident Economic Indicators. In Leading Economic Indicators: New Approaches and Forecasting Records, ed. K. Lahiri and G. H. Moore, Cambridge University Press, pp. 63~89.

The Baltic Exchange (2010) A History of the Baltic Indices, Baltic Exchange Information Services Ltd.