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Table 3 Estimated parameters of non-fractional GH and fractional GH process

From: ARMA–GARCH model with fractional generalized hyperbolic innovations

 

IBM

Johnson & Johnson

Oracle

Apple

Amazon

CVS

Non-fractional GH, \({\lambda = -1.3926}\), \({\alpha = 0.0745}\)

\(\beta\)

\(0.8494 \cdot 10^{-8}\)

\(-0.1234 \cdot 10^{-4}\)

\(-0.6355 \cdot 10^{-5}\)

\(-0.3409 \cdot 10^{-4}\)

\(-0.1549 \cdot 10^{-4}\)

\(0.8009 \cdot 10^{-5}\)

\(\theta\)

\(0.6428 \cdot 10^{-3}\)

\(0.3622 \cdot 10^{-3}\)

\(0.4391 \cdot 10^{-3}\)

\(0.6172 \cdot 10^{-3}\)

\(0.7846 \cdot 10^{-3}\)

\(0.7898 \cdot 10^{-3}\)

Fractional GH, \({H = 0.5387}\), \({\lambda = -1.3965}\), \({\alpha = 0.0561}\)

\(\beta\)

\(-0.4953 \cdot 10^{-5}\)

\(-0.1309 \cdot 10^{-4}\)

\(-0.8864 \cdot 10^{-5}\)

\(-0.3555 \cdot 10^{-4}\)

\(-0.2430 \cdot 10^{-4}\)

\(0.3158 \cdot 10^{-5}\)

\(\theta\)

\(0.7845 \cdot 10^{-3}\)

\(0.4430 \cdot 10^{-3}\)

\(0.5360 \cdot 10^{-3}\)

\(0.7546 \cdot 10^{-3}\)

\(0.9599 \cdot 10^{-3}\)

\(0.9675 \cdot 10^{-3}\)