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Table 3 Results of ARMA-GARCH model

From: Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model

Parameter

Estimate

Std. Error

t Value

Pr( >|t|)

\({\varvec{\mu}}\)

− 0.2960718

0.2892862

 − 1.023

0.306

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

1.0000000

0.0003844

2601.617

 < 2e-16

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

− 0.0639492

0.0156287

− 4.092

4.28e-05

\({\varvec{\omega}}\)

2.6707021

15.2581437

0.175

0.861

\({\varvec{\alpha}}\)

0.1908938

0.0263213

7.252

4.09e-13

\({\varvec{\beta}}\)

0.8677709

0.0120312

72.127

 < 2e-16

\({\varvec{\nu}}\)

2.9467093

0.1538744

19.150

 < 2e-16