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Table 4 ARMA (1, 1) + GARCH (1, 1) model’s parameter estimates

From: Modeling variations in the cedi/dollar exchange rate in Ghana: an autoregressive conditional heteroscedastic (ARCH) models

Variable

Coefficients

Standard error

T-statistic

Probability

AR (1)

0.8097

0.03542

22.862

2.00E−16

MA (1)

−0.5749

0.107

−5.194

2.06E−07

Omega

0.00002507

0.000006437

3.894

9.85E−05

Alpha

1.00000

0.12798

3.574

0.000352

Beta 1

0.1984

0.09501

2.088

0.03688

  1. Source: result from analysis of data, 2014.