SAS for Finance by Harish Gulati

Author:Harish Gulati
Language: eng
Format: mobi, epub
Tags: COM062000 - COMPUTERS / Data Modeling and Design, COM018000 - COMPUTERS / Data Processing, COM027000 - COMPUTERS / Desktop Applications / Personal Finance Applications
Publisher: Packt
Published: 2018-05-30T10:49:01+00:00

Let us also look at the chi-square test for the esacf option. It shows that the first instance where at a 5 percent level of significance we failed to reject the hypothesis of no correlation is 0.2419 (AR1, MA0) and 0.0598 (AR0, MA1). We have other values of p and q also suggested by the esacf option. For the classic account customers, we have seven model choices: ARMA (2,0), ARMA (0,2), ARIMA (1,1,0), and ARIMA (0,2,0) based on scan output, and ARMA (1,0), ARIMA (0,1,0) or ARMA (0,1) based on esacf output:

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