Table IV.

The estimates of the regression models for different dry bulk sectors

CapesizeQ1Q2Q3Q4
A02.457** (2.304)1.932* (1.910)0.887 (0.894)0.977 (1.010)
A1−0.335*** (−4.392)−0.266*** (−3.582)−0.168** (−2.107)−0.195** (−2.310)
A20.387*** (7.187)0.420*** (8.144)0.456*** (8.839)0.468*** (9.266)
A40.495*** (7.806)0.422*** (7.013)0.366*** (6.024)0.362*** (6.089)
A513.844*** (2.606)12.739** (2.450)13.086** (2.244)12.712** (2.217)
A7−0.979*** (−2.928)−0.723** (−2.191)−0.734** (−2.167)−0.560* (−1.668)
A817.630*** (2.869)2.724** (2.260)
Diagnostics
Adjusted R20.3260.3200.3190.298
LogL−133.199−137.005−137.873−132.71
F Statistics26.07629.24028.71322.891
AIC0.8980.9020.9190.901
SC0.9830.9730.9910.986
DW Statistics1.5201.4781.4921.550
Panamax
A05.617*** (4.755)5.159*** (4.157)5.530*** (4.309)6.244* (5.199)
A20.154* (1.787)0.135 (1.561)0.142* (1.618)0.081 (0.975)
A30.089** (2.012)0.291*** (2.857)0.263*** (2.633)0.268*** (2.733)
A4−0.175** (−1.995)−0.154* (−1.790)−0.188** (−2.181)−0.162* (−1.933)
A546.654*** (3.081)61.096*** (4.082)53.618*** (3.548)58.729*** (4.059)
A7−1.864** (−2.492)−2.119*** (−2.817)−2.044** (−2.504)−2.199*** (−3.050)
A820.464*** (2.658)13.483*** (3.177)
Diagnostics
Adjusted R20.0800.0760.1080.074
LogL−105.640−104.826−100.777−91.926
F Statistics6.3976.2287.2624.845
AIC0.7130.6990.6910.630
SC0.7850.7700.7750.702
DW Statistics1.3511.3531.3731.417
Supramax
A03.021*** (2.923)2.803*** (2.728)2.696** (2.581)2.805*** (2.739)
A20.181** (2.490)0.183** (2.508)0.191*** (2.593)0.183** (2.513)
A40.253*** (3.970)0.284** (4.660)0.277*** (4.360)0.284*** (4.672)
A71.642*** (2.687)1.743*** (2.865)1.806*** (2.937)1.742*** (2.860)
A816.209* (1.757)15.684* (1.905)
Diagnostics
Adjusted R20.1090.1020.1170.111
LogL−215.643−217.569−208.757−217.721
F Statistics11.16313.67711.62313.789
AIC1.3251.3271.3321.324
SC1.3821.3721.3911.369
DW Statistics1.6581.6571.6801.658

Notes:

***

,

**

and

*

mean statistically significant at 1%, 5% and 10%, respectively. The t-statistics is reported in the parenthesis. The variables with insignificant estimates are deleted from the regression equations. LogL is the log-likelihood. AIC is the Akaike information criterion. SC is the Schwarz information criterion. ARCH(12) is Engle’s F-test for ARCH effects. Figures in the brackets under the ARCH(12) estimates indicate the significance levels.

ln(VOLt) = A0 + A1ln(FFAt) + A2ln(FIXt−1) + A3ln(ERNt) + A4ln(SRt) + A5COVFSt + A6COVFEt + A7VARFt + A8FVt

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