Cryptocurrency-Based Financial Science Strategy In World Influence Using Causal Diagram And Machine Learning
English
https://doi.org/10.35877/454RI.qems2086
Keywords:
cryptocurrency;, digital economy, ishikawa diagram, arima, machine learning
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Abstract
Cryptocurrency is a digital currency that can be used for transaction on an international scale and as an investment. The potential provided by cryptocurrency in the development of the digital economy in the world has become a special attraction for individuals, organizations, and government. Blockchain system that underlies cryptocurrencies has worked flawlessly in both the financial and non-financial worlds. This study uses Basic Risk Management Ishikawa Diagram and evaluated by ARIMA predictive algorithm in determining cause and effect of the development of cryptocurrencies. It was found that the development of cryptocurrency is very influential by the state of the world, especially countries that have great influence such as USA. USA inflation have a big influence, and the model can be used as a basis for a country's government in observing.
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Johnson, M. (1999). Core Inflation: A measure of inflation for policy purposes.
Karabağ, O., & Fadıloğlu, M. M. (2021). Augmented Winter’s method for forecasting under asynchronous seasonalities. Journal of Management Analytics, 8(1), 19–35. https://doi.org/10.1080/23270012.2020.1839362
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Laursen, G. H. N., & Thorlund, J. (2017). Business Analytics for Managers (Vol. 2).
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Russell, R. (2018). Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python.
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Ye, N. (2013). Data Mining: Theories, Algorithms, and Examples.
Zhang, A. (2017). Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Big Data, and Predictive Analysis to Improve Business, Work, and Life.
Zhao, L. (2021). The function and impact of cryptocurrency and data technology in the context of financial technology: introduction to the issue. In Financial Innovation (Vol. 7, Issue 1). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1186/s40854-021-00301-w
