Estimation of ARIMA model
| Variable | Coefficient | Std. Error | t-statistic | Prob |
|---|---|---|---|---|
| C | −0.031125 | 0.007696 | −4.044042 | 0.0037 |
| AR(1) | 1.519400 | 0.137896 | 11.01843 | 0.0000 |
| AR(2) | −0.936168 | 0.059890 | −15.63139 | 0.0000 |
| MA(1) | −1.000000 | 39728.31 | −2.52E-05 | 1.0000 |
| SIGMASQ | 0.000442 | 0.403940 | 0.001093 | 0.9992 |
| Variable | Coefficient | Std. Error | Prob | |
|---|---|---|---|---|
| C | −0.031125 | 0.007696 | −4.044042 | 0.0037 |
| AR(1) | 1.519400 | 0.137896 | 11.01843 | 0.0000 |
| AR(2) | −0.936168 | 0.059890 | −15.63139 | 0.0000 |
| MA(1) | −1.000000 | 39728.31 | −2.52E-05 | 1.0000 |
| SI | 0.000442 | 0.403940 | 0.001093 | 0.9992 |
| R-squared | 0.850452 | Mean dependent var | −0.018404 |
| Adjusted R-squared | 0.775678 | S.D. dependent var | 0.056562 |
| S.E. of regression | 0.026789 | Akaike info criterion | −3.664240 |
| Sum squared resid | 0.005741 | Schwarz criterion | −3.446952 |
| Log likelihood | 28.81756 | Hannan-Quinn criterion | −3.708902 |
| F-statistic | 11.37363 | Durbin–Watson stat | 1.064574 |
| Prob(F-statistic) | 0.002202 | ||
| 0.850452 | Mean dependent var | −0.018404 | |
| Adjusted | 0.775678 | S.D. dependent var | 0.056562 |
| S.E. of regression | 0.026789 | Akaike info criterion | −3.664240 |
| Sum squared resid | 0.005741 | Schwarz criterion | −3.446952 |
| Log likelihood | 28.81756 | Hannan-Quinn criterion | −3.708902 |
| 11.37363 | Durbin–Watson stat | 1.064574 | |
| Prob( | 0.002202 | ||
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