研究文章

期权的隐含信息可以预测股市的流动性?数据驱动的研究基于SSE 50 etf选项

表6

预测VRP对股票市场流动性的力量。

面板:短期预测VRP对股票市场流动性的力量
1 d 5 d 10 d 30 d 60 d 90 d 120 d

蚁群 −0.051 (−4.08) −0.042 (−3.35) −0.038 (−2.99) 0.025 (1.98) −0.001 (−0.03) 0.010 (0.91) −0.004 (−0.43)
RF −2.640 (−4.86) −2.432 (−4.45) −2.120 (−3.87) −0.354 (−0.64) 2.404 (4.43) 2.879 (5.78) 3.177 (7.25)
先生 −0.048 (−0.64) −0.097 (−1.28) 0.074 (0.97) 0.067 (0.88) 0.125 (1.66) 0.024 (0.35) 0.006 (0.09)
−0.023 (−5.19) −0.024 (−5.38) −0.025 (−5.52) −0.023 (−5.00) −0.018 (−4.08) −0.008 (−1.86) 0.003 (0.82)
圆形的 0.061 (4.39) 0.044 (3.14) 0.033 (2.34) 0.008 (0.59) 0.010 (0.70) −0.010 (−0.75) 0.016 (1.40)
调整R2(%) 4.42 3.54 2.81 2.17 4.49 3.78 4.05

面板B:中长期预测VRP对股票市场流动性的力量
150 d 180 d 210 d 240 d 270 d 300 d 330 d 360 d

蚁群 −0.012 (−1.17) −0.009 (−0.86) −0.004−0.37) −0.001 (−0.10) 0.004 (0.37) 0.011 (1.01) 0.008 (0.76) 0.007 (0.58)
RF 3.457 (7.92) 4.082 (9.33) 5.315 (12.28) 5.335 (12.28) 5.790 (12.79) 5.491 (11.83) 5.504 (11.80) 4.240 (8.87)
先生 0.019 (0.31) 0.033 (0.54) −0.001 (−0.02) −0.050 (−0.83) −0.050 (−0.83) −0.020−0.33) −0.013 (−0.21) −0.120 (−1.89)
0.011 (2.96) 0.019 (5.15) 0.029 (8.29) 0.036 (10.34) 0.042 (12.11) 0.045 (12.80) 0.049 (13.85) 0.048 (12.97)
圆形的 −0.001 (−0.11) 0.009 (0.76) 0.010 (0.90) −0.004 (−0.31) −0.011 (−0.95) −0.014 (−1.11) 0.009 (0.72) 0.002 (0.13)
调整R2(%) 4.28 5.95 10.67 12.43 15.36 15.74 17.20 14.34