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Table 4 Negative shocks on market integration

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

Refined product

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

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

Negative supply-driven

Negative demand-driven

Test statistic

Bootstrap critical values

Test statistic

Bootstrap critical values

1%

5%

10%

1%

5%

10%

Conv. Gasol. NY

5.984*

10.617

6.446

5.073

16.197***

9.230

6.075

4.506

RBOB

29.893***

9.832

5.997

4.446

0.119

9.123

5.877

4.653

Heating Oil

12.212***

9.892

6.394

4.955

1.306

10.343

5.941

4.582

Diesel NY

9.663**

10.387

6.334

4.887

0.752

11.563

6.249

4.467

Kerosene

13.372***

9.898

6.052

4.702

12.807***

8.292

5.698

4.526

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