Research Article

Impacts of COVID-19 on the Return and Volatility Nexus among Cryptocurrency Market

Table 2

Descriptive statistics.

CurrencyMeanMedianStd. Dev.SkewnessKurtosisJarque–BeraADFQ(20)Q2(20)ARCH(10)

BTC−0.0031−0.00210.03922.590940.03242937.11−30.27443.199160.6135.989
ETH−0.0029−0.00200.04982.208631.71125913.29−30.36964.372185.4067.757
USDT0.00000.00000.0023−0.735921.99111141.54−16.746125.27125.91289.663
XPR0.0000−0.00040.05330.933528.66920340.53−29.77339.22460.682106.272
LTC−0.0022−0.00050.05210.774215.6775008.428−29.21531.43560.52696.292
ADA−0.0027−0.00260.05560.986916.0675363.127−30.04737.99192.335139.105
BCH−0.00130.00010.05591.134224.98214996.31−30.02336.21732.8923.694
XLM−0.00140.00000.0580−1.387922.67212120.04−27.41176.673118.370166.703
LINK−0.00530.00000.06840.300216.9505986.531−30.07671.227104.17167.757
BNB−0.0026−0.00230.04872.402231.87126304.98−29.78320.06538.10728.899

Note. Q(10) and Q2(10) are the Ljung–Box (LB) statistics for stock index return and squared stock index return series, respectively, for the 10th lag. , , and represent statistical significance at 1%, 5%, and 10% levels, respectively.