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Table 3 The effect of the factors of pandemic severity on the extreme risks in assets: AR(1)-GARCH(1,1)-X model \(\Delta {y}_{t}={\theta }_{0}+{\theta }_{1}\Delta {y}_{t-1}+{\theta }_{2}\Delta {x}_{t-1}+{\varepsilon }_{t}\), \({\varepsilon }_{t}\sim N\left(0,{\sigma }_{t}^{2}\right)\), \({\sigma }_{t}^{2}=c+a{\varepsilon }_{t-1}^{2}+\beta {\sigma }_{t-1}^{2}+\gamma \Delta {x}_{t-1}\), \(y\) denotes asset price, \(x\) denotes risk factor

From: Features of different asset types and extreme risk transmission during the COVID-19 crisis

Risk factor:\(\Delta TC\)

       

Variables

\(\Delta CCI\)

\(\Delta BTC\)

\(\Delta WSPI\)

\(\Delta WTI\)

\(\Delta WEPI\)

\(\Delta Gold\)

\(\Delta GSCI\)

\(\Delta REITs\)

\({\theta }_{0}\)

0.0024

0.0014

0.0006

0.0027***

0.0009

− 0.0001***

0.0013**

0.0007

 

[1.2724]

[0.8122]

[1.6875]

[2.7367]

[1.3047]

[− 97.8743]

[2.2876]

[1.5079]

\({\theta }_{1}\)

0.0139

− 0.0212

0.0338

− 0.0639

0.0592

− 0.0112***

0.0250

− 0.0305

 

[0.3160]

[− 0.5319]

[0.8073]

[− 1.3953]

[1.4601]

[− 3.0975]

[0.5858]

[− 0.6969]

\({\theta }_{2}\)

− 0.0312

− 0.0154

0.0070

− 0.0017

0.0120

− 0.0067***

0.0034

− 0.0098

 

[− 0.5735]

[− 0.3472]

[0.5041]

[− 0.0573]

[0.3856]

[− 31.0628]

[0.1994]

[− 0.4729]

\(c\)

0.0001

0.0002

 < 0.0000***

0.0002***

 < 0.0000***

0.0001***

 < 0.0000***

 < 0.0000***

 

[1.9436]

[1.7864]

[2.9899]

[3.5583]

[2.7908]

[55.811]

[2.7366]

[2.9691]

\(a\)

0.1099***

0.0443**

0.1719***

0.7114***

0.0597***

0.0083***

0.1018***

0.1653***

 

[4.0417]

[2.3538]

[4.4991]

[6.8166]

[2.6894]

[103.6327]

[3.6657]

[4.3255]

\(\beta\)

0.8435***

0.8302***

0.7820***

0.3861***

0.7914***

− 0.2953***

0.8435***

0.7628***

 

[22.0483]

[12.3274]

[19.1468]

[5.2647]

[14.8168]

[− 1689.9098]

[21.8262]

[16.3102]

\(\gamma\)

0.0023**

0.0030**

0.0002

0.0018

0.0020***

0.0018***

0.0003**

0.0005**

 

[2.5021]

[2.3286]

[1.7478]

[1.4287]

[2.6451]

[71.2663]

[2.1613]

[2.2087]

Risk factor:\(\Delta TD\)

       

Variables

\(\Delta CCI\)

\(\Delta BTC\)

\(\Delta WSPI\)

\(\Delta WTI\)

\(\Delta WEPI\)

\(\Delta Gold\)

\(\Delta GSCI\)

\(\Delta REITs\)

\({\theta }_{0}\)

0.0021

0.0011

0.0005

0.0025***

0.0010

− 0.0001

0.0013**

0.0006

 

[1.0747]

[0.6289]

[1.3801]

[2.6583]

[1.2871]

[− 0.3484]

[2.3142]

[1.2569]

\({\theta }_{1}\)

0.0141

− 0.0278

0.0311

− 0.0642

0.0589

0.0372

0.0218

− 0.0285

 

[0.3011]

[− 0.6833]

[0.7449]

[− 1.5212]

[1.3693]

[0.9102]

[0.4803]

[− 0.6782]

\({\theta }_{2}\)

0.0188

0.0261

0.0259

0.0232

0.0222

0.0053

− 0.0047

0.0053

 

[0.2942]

[0.4919]

[1.377]

[0.4175]

[0.5336]

[0.4989]

[− 0.1722]

[0.1519]

\(c\)

0.0002

0.0004**

 < 0.0000***

0.0002***

 < 0.0000***

 < 0.0000***

 < 0.0000***

 < 0.0000***

 

[1.8128]

[2.0338]

[2.8450]

[3.3421]

[2.6379]

[2.8227]

[2.8650]

[2.9743]

\(a\)

0.1277***

0.0415

0.1858***

0.6823***

0.0698***

0.0688**

0.1087***

0.1733***

 

[3.6876]

[1.6825]

[4.6423]

[6.1911]

[2.8918]

[2.5658]

[3.9968]

[4.6216]

\(\beta\)

0.8137***

0.7211***

0.7703***

0.3902***

0.7607***

0.7338***

0.8232***

0.7472***

 

[15.2335]

[6.7015]

[17.9557]

[4.7155]

[12.5501]

[9.4051]

[20.7982]

[15.6587]

\(\gamma\)

0.0038**

0.0087**

0.0003

0.0038

0.0032***

0.0002

0.0006**

0.0009**

 

[2.0393]

[2.1886]

[1.4849]

[1.3772]

[2.6896]

[1.7899]

[2.3685]

[2.1232]

  1. This table shows the influence of risk factors on the volatilities of assets. \(\Delta CCI\), \(\Delta BTC\), \(\Delta WSPI\), \(\Delta WTI\), \(\Delta WEPI\), \(\Delta Gold\), \(\Delta GSCI\), and \(\Delta REITs\) respectively denote the return of cryptocurrency index, Bitcoin price, MSCI World Stock Price Index, WTI crude oil spot price, MSCI World Energy Price Index, gold spot price, S&P Goldman Sachs Commodity Index, and FTSE NAREIT All REITs index. \(\Delta TC\) and \(\Delta TD\) denote the rate of change of total infected cases and total deaths, respectively. Number in brackets is t-statistic. The symbols ** and *** denote significance at 5% and 1% level, respectively