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Table 5 CCs price return strength models are explained by the absolute value of the variation in effective reproductive rate

From: Impact of COVID-19 effective reproductive rate on cryptocurrency

 

COVID World

COVID North America

COVID Europe

COVID Asia

Crypto

Coef

p-value

Coef

p-value

Coef

p-value

Coef

p-value

BTC

 − 0.0049

0.3477

0.0181

0.0425

 − 0.0102

0.4087

 − 0.0047

0.3974

ETH

0.0060

0.0259

 − 0.0427

0.0006

0.1440

0.0000

0.0054

0.3044

USDT

 − 0.0002

0.0013

0.0000

0.8187

0.0008

0.0000

0.0007

0.0000

XRP

 − 0.0080

0.5695

 − 0.0640

0.0088

 − 0.0117

0.6544

 − 0.0191

0.2149

LTC

0.0004

0.9763

 − 0.0387

0.0033

 − 0.0266

0.0377

 − 0.0242

0.0034

BCH

0.0226

0.0000

 − 0.0142

0.0858

0.0056

0.5967

0.0254

0.0000

ADA

 − 0.0414

0.0403

0.0714

0.0000

 − 0.0182

0.3069

 − 0.0629

0.0000

BNB

 − 0.0236

0.0000

0.0178

0.2156

 − 0.0108

0.3433

 − 0.0329

0.0000

  1. The control variables used in Eq. 5 (COVID cases worldwide) and Eq. 6 (COVID-19 cases in North America, Europe, and Asia) are CCs price returns autoregressive terms, DJIA returns lagged, GOLD variations lagged, EURUSD variations lagged, and VIX variations lagged, according. In bold are the coefficients significant at the 5% level. All the other parameters of the models are presented in Tables 15 and 16