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Table 8 Interaction between volatility, trading volume, and open interest (Shanghai Futures Exchange) \( \left|{\varepsilon}_{it}\right|={\beta}_{0i}+{\beta}_{1i}{\mathrm{MON}}_t+{\beta}_{2i}{\mathrm{DVOM}}_{it}+{\beta}_{3i}\left({\mathrm{NT}}_t\times {\mathrm{DVOM}}_{it}\right)+{\beta}_{4i}{\mathrm{DOI}}_{it}+{\beta}_{5i}\left({\mathrm{NT}}_t\times {\mathrm{DOI}}_{it}\right)+{\displaystyle \sum_{j=1}^{10}{\rho}_{ij}\left|{\varepsilon}_{i,t-j}\right|+{\epsilon}_{it}}\kern1.25em (3) \)

From: The effect of nighttime trading of futures markets on information flows: evidence from China

 

Constant (t-stat)

MON (t-stat)

DVOM (t-stat)

NT × DVOM (t-stat)

DOI (t-stat)

NT × DOI (t-stat)

Lagsa

Adjusted R 2

Gold

−0.0120 (−0.620)

0.0012** (2.325)

0.0547*** (3.519)

−0.0212 (−1.054)

−0.0393 (−1.342)

0.0198 (0.987)

6

0.1626

Silver

−0.0245 (−0.583)

0.0007 (0.752)

0.0020 (0.031)

0.0429 (0.660)

0.0306 (0.447)

−0.0463 (−0.701)

3

0.1242

Copper cathode

0.0142 (0.379)

0.0017*** (3.552)

−0.0175*** (−2.951)

0.1572*** (7.226)

0.0058 (0.153)

−0.1585*** (−7.322)

9

0.2143

Aluminum

−0.0723*** (−4.716)

0.0008*** (2.637)

0.0303*** (4.655)

−0.0074 (−0.504)

0.0433** (2.233)

0.0069 (0.469)

7

0.3028

Zinc

−0.0552* (−1.960)

0.0021*** (3.931)

−0.0135 (−1.073)

0.0393* (1.901)

0.0714** (2.265)

−0.0408** (−1.970)

8

0.1971

Lead

0.0086* (1.770)

0.0009** (2.038)

0.0239*** (5.315)

0.0129* (1.732)

−0.0305*** (−3.827)

−0.0132* (−1.812)

3

0.2392

Steel rebar

−0.0020 (−0.102)

0.0020*** (4.741)

0.0975*** (11.059)

0.0369 (1.417)

−0.0933*** (−4.313)

−0.0362 (−1.406)

7

0.2666

Natural rubber

0.0018 (0.096)

0.0021*** (4.204)

−0.0331*** (−4.233)

0.1952*** (3.364)

0.0355* (1.852)

−0.1951*** (−3.362)

7

0.1021

  1. ***, **, and * denote significance at 1 %, 5 %, and 10 % levels, respectively aNumber of autoregressive terms significant at 5 % level