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Table 3 Summary statistics on the returns of bitcoin, ethereum and litecoin

From: Forecasting and trading cryptocurrencies with machine learning under changing market conditions

  1st Sub-sample (training) 15-Aug-2015 to 23-May-2017 (648 obs.) 2nd Sub-sample (validation) 24-May-2017 to 12-Apr-2018 (324 obs.) 3rd sub-sample (test) 13-Apr-2018 to 03-Mar-2019 (325 obs.) Overall sample 15-Aug-2015 to 03-Mar-2019 (1297 obs.)
Bitcoin
Mean (%) 0.3345*** 0.3777  − 0.2210 0.2061*
Median (%) 0.2676 0.6255 0.0850 0.2294
Min. (%)  − 20.06  − 20.75  − 14.36  − 20.75
Max. (%) 11.29 22.51 10.82 22.51
SD (%) 3.111 5.700 3.271 3.958
Skewness  − 1.149 0.0571  − 0.4784  − 0.2615
Exc. kurtosis 7.807 1.743 2.635 4.807
ρ(1) 0.0004 0.0224  − 0.0752 0.0041
Ethereum
Mean (%) 0.7098** 0.3076  − 0.4048 0.3300
Median (%)  − 0.1469 0.0737  − 0.2401  − 0.1237
Min. (%)  − 31.55  − 25.89  − 20.69  − 31.55
Max. (%) 30.28 23.47 16.61 30.28
SD (%) 7.164 6.686 5.142 6.602
Skewness 0.2979 0.0443  − 0.3636 0.2066
Exc. kurtosis 3.697 1.662 2.034 3.401
ρ(1) 0.0688* 0.0263  − 0.0681 0.0418
Litecoin
Mean (%) 0.3202 0.4300  − 0.3025 0.1916
Median (%) 0.0000  − 0.0109  − 0.3210 0.0000
Min. (%)  − 20.92  − 39.52  − 14.72  − 39.52
Max. (%) 51.04 38.93 26.87 51.04
SD (%) 4.659 8.052 4.872 5.746
Skewness 2.965 0.5794 0.2720 1.264
Exc. kurtosis 28.72 4.880 3.263 12.34
ρ(1) 0.0184 0.0297  − 0.0719 0.0131
  1. This table shows some descriptive statistics of the log-returns of bitcoin, ethereum and litecoin. The values for the first five statistics are presented in percentage. The significance of the mean return is assessed using the t-statistic with Newey–West HAC standard error, with a Bartlett kernel bandwidth of 8. ρ(1) is the first order autocorrelation. Significance at the 10%, 5% and 1% levels are denoted by *, ** and ***, respectively