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Table 1 Descriptive statistics of the log-returns of the AIRO index

From: A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting

 

AIRO index returns

 

AIRO index returns

 

Mean

0.0672

Q(10)

91.354 (0.0000)

 

SD

1.3775

Q2(10)

619.02 (0.0000)

 

Skew

 − 0.9783

ADF

 − 8.8190 (0.0000)

 

Kurtosis

13.2993

PP

 − 29.2280 (0.0000)

 

J–B

4180.96 (0.0000)

   
  1. The p values are reported in parentheses. SD represents the standard deviation. J–B is Jarque–-Bera test statistic, with the null hypothesis of normal distribution. Q(10) and Q2(10) denote the Ljung–Box Q-statistics of the returns and squared returns series for up to 10th order serial autocorrelation. ADF and PP are the statistics of the augmented Dickey–Fuller and Phillips–Perron unit root tests, respectively, based on lags determined by the Akaike Information Criterion (AIC)