Forecasting the volume of electronic money transactions using ARIMAX-GARCH model and support vector regression-Reference-Cited by-同舟云学术

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Forecasting the volume of electronic money transactions using ARIMAX-GARCH model and support vector regression

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022)
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Author:

Sediono ,Andreas Christopher,Mardianto M. Fariz Fadillah,Ana Elly,Suliyanto

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0187234

Reference35 articles.

1. United Nations, Igniting SDG Progress Through Digital Financial Inclusion, .

2. Organisation for Economic Co-operation and Development, Digital Transformation in the Age of COVID-19: Building Resillience and Bridging Divides, .

3. T. Adrian and T. M. Griffoli, International Monetary Fund, 2019(1), 1–15 (2019).

4. H. M. Khalaf, Academy of Entrepreneurship Journal, 24(3), 1528-2686-24-3-156 (2018).

5. Bank Indonesia, Electronification, .

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1. Modelado de la Volatilidad del Índice Minero S&P BVL Utilizando Máquinas de Vectores de Soporte y un Modelo GARCH Lineal;Revista Científica Integración;2024-06-30

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