Table 4 Estimated parameters of the dynamic conditional correlation model between real estate and upstream and downstream industries.

From: Risk spillover in China’s real estate industry chain: a DCC-EGARCH-ΔCoVaR model

Panel A: Real Estate - Construction

 

DCC-GARCH

DCC-EGARCH

DCC-TGARCH

 

θ1

θ2

θ1

θ2

θ1

θ2

Coefficient

0.099

0.910

0.052

0.936

0.100

0.911

Standard deviation

0.000

0.000

0.005

0.007

0.000

0.000

Z-statistic value

541077.900

514973.400

9.393

127.093

386318.800

783457.700

Acceptance probability

0.000

0.000

0.000

0.000

0.000

0.000

Panel B: Real Estate - Building Materials

 

DCC-GARCH

DCC-EGARCH

DCC-TGARCH

 

θ1

θ2

θ1

θ2

θ1

θ2

Coefficient

0.038

0.957

0.041

0.953

0.040

0.956

Standard deviation

0.004

0.005

0.004

0.005

0.004

0.005

Z-statistic value

8.931

189.458

9.166

173.949

9.036

186.099

Acceptance probability

0.000

0.000

0.000

0.000

0.000

0.000

Panel C: Real Estate - Home Appliances

 

DCC-GARCH

DCC-EGARCH

DCC-TGARCH

 

θ1

θ2

θ1

θ2

θ1

θ2

Coefficient

0.043

0.950

0.041

0.953

0.040

0.950

Standard deviation

0.005

0.006

0.004

0.005

0.004

0.006

Z-statistic value

9.326

168.483

9.166

173.949

9.036

166.790

Acceptance probability

0.000

0.000

0.000

0.000

0.000

0.000

Panel D: Real Estate - Household Goods

 

DCC-GARCH

DCC-EGARCH

DCC-TGARCH

 

θ1

θ2

θ1

θ2

θ1

θ2

Coefficient

0.045

0.948

0.041

0.950

0.044

0.948

Standard deviation

0.005

0.006

0.004

0.006

0.005

0.006

Z-statistic value

9.737

165.290

9.189

163.438

9.712

165.849

Acceptance probability

0.000

0.000

0.000

0.000

0.000

0.000

Panel E: Real Estate - Banking

 

DCC-GARCH

DCC-EGARCH

DCC-TGARCH

 

θ1

θ2

θ1

θ2

θ1

θ2

Coefficient

0.029

0.957

0.025

0.964

0.029

0.958

Standard deviation

0.005

0.008

0.004

0.007

0.005

0.008

Z-statistic value

5.912

117.716

5.606

133.462

5.890

118.215

Acceptance probability

0.000

0.000

0.000

0.000

0.000

0.000