The Volatility Processes In Indonesia’s Demand For Narrow Money
The second purpose was to prove that the estimation of ECM, which contained the GARCH processes, had the better abilities for prediction than its benchmark. For this pur-pose, the research compared the predictive powers of Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Parentage Error (MAPE). However, the empirical evidences supported the second purpose.
Keywords: error correction modeling (ECM), volatility processes, ARCH, GARCH, narrow money.
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Economic Journal of Emerging Markets (EJEM)
ISSN 2086-3128 (print), ISSN 2502-180X (online)
Center for Economic Studies, Department of Economics,
Universitas Islam Indonesia, Indonesia.
EJEM by http://journal.uii.ac.id/index.php/JEP/ is licensed under a Creative Commons Attribution 4.0 International License.