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Table 1 ARMA (1, 1) model parameter estimates

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

Variable

Coefficient

Standard error

T-statistics

Probability

AR (1)

0.999851

0.004673

213.985

2.00E−16

MA (1)

0.518176

0.077013

6.728

1.72E−11

  1. Source: result from analysis of data, 2014. \(\sigma^{2}\) = 0.0002664, conditional sum of squares = 0.04, AIC = −899.97.