Research Article

Asymmetry in the Prediction of Cojumps on Volatility and Its Reversal

Table 7

HAR-RV-SJCOV-D model parameter estimation results.


MSJS0.4107 (8.1612)0.4960 (10.3464)−1.0678 (−2.4199)−1.7831 (−1.2487)8.5850 (3.4918)76.3975.99
MSJF0.2655 (5.6821)0.6432 (13.8702)−0.8441 (−1.9121)−2.9128 (−1.4391)10.2950 (4.3666)72.7572.14
MSJMA0.5005 (12.5364)0.4028 (9.7122)−0.2632 (−0.6959)1.4611 (0.7463)7.3349 (3.4730)73.8273.51
MSJEL0.4763 (10.1210)0.4225 (9.3792)−1.7562 (−3.8770)0.1262 (0.0634)6.8121 (3.3899)74.6374.26
MSJFI0.3660 (8.0568)0.5321 (11.7360)−0.7651 (−1.8742)0.0330 (0.0174)13.3071 (4.8638)73.4072.88
MSJEN0.4216 (8.2480)0.4667 (9.6814)−0.9969 (−2.7386)1.8958 (0.9404)6.4216 (3.0110)71.2571.05
MSJCO0.4552 (8.9773)0.4268 (8.5645)−1.4559 (−3.5269)2.1232 (1.3942)7.7856 (3.7348)71.4671.16
MSJME0.4535 (9.7469)0.4575 (10.2969)−1.5962 (−3.4077)−0.7180 (−0.2507)7.0815 (2.2716)75.1174.92

Note: MSJS and MSJF represent the HAR-RV-SJCOV-D models for the CSI 300 stock and futures index, respectively; MSJMA, MSJEL, MSJFI, MSJEN, MSJCO, and MSJME represent the HAR-RV-SJCOV-D model of material, telecommunication, finance, energy, consumption, and medicine, respectively. denotes the HAR-RV model’s adjusted goodness of fit, and , , and represent significance at the 1%, 5%, and 10% levels, respectively.