Research Article

Does Indian Commodity Futures Markets Exhibit Price Discovery? An Empirical Analysis

Table 9

Vector error correction model for spot price of the selected commodities.

CoefficientsSilverAluminumCopperLeadNickelZincCrude oil

−0.01−0.06−0.19−0.15−0.07−0.13−0.02
(−0.98)(−2.44)(−8.34)(−2.54)(−2.17)(−3.45)(−1.39)
−0.43−0.25−0.25−0.44−0.48−0.57−0.43
(−14.81)(−8.08)(−9.33)(−10.34)(−11.45)(−15.68)(−14.51)
−0.32−0.19−0.52−0.42−0.38−0.52−0.27
(−10.20)(−5.65)(−19.63)(−8.38)(−7.76)(−11.10)(−8.31)
−0.23−0.17−0.24−0.35−0.28−0.40−0.17
(−7.09)(−4.87)(−8.05)(−6.18)(−5.19)(−8.33)(−4.97)
−0.16−0.13−0.30−0.37−0.33−0.35−0.05
(−5.09)(−3.61)(−10.93)(−6.15)(−6.02)(−6.90)(−1.39)
−0.06−0.11−0.23−0.32−0.25−0.26−0.04
(−2.26)(−2.96)(−8.71)(−5.04)(−4.35)(−5.01)(−1.16)
−0.23−0.23−0.20−0.21−0.04
(−8.97)(−3.47)(−3.43)(−4.12)(−1.06)
−0.18−0.15−0.21−0.17
(−2.79)(−2.58)(−4.46)(−5.05)
−0.21−0.29−0.12
(−3.25)(−5.31)(−3.49)
−0.15−0.14
(−3.08)(−4.98)
0.680.390.110.730.750.780.88
(28.59)(11.65)(17.84)(14.64)(16.80)(20.19)(26.89)
0.310.220.230.510.520.660.35
(9.59)(5.86)(3.43)(8.54)(9.51)(13.57)(8.41)
0.280.110.570.390.320.490.22
(8.62)(2.95)(8.28)(5.99)(5.35)(8.97)(5.06)
0.210.170.170.370.300.390.14
(6.35)(4.44)(2.49)(5.28)(4.73)(6.75)(3.31)
0.120.090.350.330.310.280.03
(3.84)(2.21)(5.12)(4.47)(4.74)(4.69)(0.71)
0.160.210.240.220.07
(2.31)(2.74)(3.66)(3.68)(1.64)
0.150.160.210.10
(1.97)(2.28)(3.17)(2.36)
0.280.230.13
(3.72)(3.74)(3.01)
0.230.12
(3.89)(2.89)
0.330.090.330.190.220.230.35
77.4314.1755.6314.5517.2629.9641.20
32.0725.2929.0654.0751.1611.9151.25
(0.13)(0.39)(0.41)(0.54)(0.11)(0.16)(0.11)

Note. Figures in parenthesis refer to respective t-stat for the coefficients.,, and represent statistical significance at 1%, 5%, and 10%, respectively. Statistical significance of coefficients is considered at 5% level of significance. F-statistics is significant at 1% level for all the commodities. value shows the chi-square value of Breusch–Godfrey LM test for serial autocorrelation.