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Table 3 Positive shocks on market integration

From: How do supply or demand shocks affect the US oil market?

Refined product

\(\varvec{WTI}{\mathbf{ + \Rightarrow }} \varvec{Deriv}{\mathbf{ + }}\)

\(\varvec{Deriv}{\mathbf{ + \Rightarrow }} \varvec{WTI}\mathbf{+}\)

Positive supply-driven

Positive demand-driven

Test statistic

Bootstrap critical values

Test statistic

Bootstrap critical values

1%

5%

10%

1%

5%

10%

Conv. Gasol. NY

2.908

10.413

6.054

4.541

1.281

9.861

6.171

4.654

RBOB

3.414

10.800

6.627

4.815

7.668**

9.250

5.925

4.661

Heating Oil

0.198

12.730

5.987

4.489

0.364

11.620

6.214

4.551

Diesel NY

0.489

13.257

5.803

4.468

0.632

11.925

6.118

4.519

Kerosene

8.852**

10.800

5.800

4.506

1.892

11.198

6.496

4.581

  1. Lag orders are selected by minimizing the Schwarz Information Criteria
  2. ***, **, * denotes significance at 1%, 5% and 10% respectively