Figures & data
Table 1. Critical values of unit root test (Time trend and constant term)
Table 2. Categorization of vessels according to their deadweight
Table 3. Examinant variables for multiple equations models
Table 4. Seasonal indices for each month for each vessel type in tanker market
Table 5. Cointegration relations among endogenous variables
Table 6. Long-run equilibrium relations and adjustment coefficients
Table 7. ARMA orders and lag operators for each vessel type
Table 8. GARCH and E-GARCH models in bulk shipping
Table 9. Forecasting results (ex-post static forecast)—Theil and RMSE criterions
Table 10. Evaluation of ex-ante forecast 12 months—Theil and RMSE criterions
Table A1. Test results of unit root and stationarity tests in tanker and bulk carrier market (ADF, PP, KPSS)
Table A2. Endogenous and exogenous variables for each vessel type in bulk shipping
Table A3. Estimation of ARCH effect (Tankers)
Table A4. Estimation of ARCH effect (Bulk carriers)
Table A5. Diagnostic tests ARMA model—Tankers
Table A6. Diagnostic tests ARMA model—Bulk carriers
Table A7. VAR estimations (Tanker—Bulk carriers)
Table A8. VECM estimations (Tankers—Bulk carriers)
Table A9. ARMA estimations
Table A10. GARCH estimations
Table A11. E-GARCH estimations
Figure 1. Ex-post and ex-ante forecasts for U-VLCC and Suezmax markets.
Figure 2. Ex-post and ex-ante forecasts for Aframax and Panamax markets.
Figure 3. Ex-post and ex-ante forecasts for Handysize and Capesize markets.
Figure 4. Ex-post and ex-ante forecasts for PanamaxB and Handymax markets.
Figure A1. Correlograms of ULCC-VLCC and Capesize.
