Machine Learning in Macro-Economic Series Forecasting

Yun Liao

International Journal of Economics and Finance, 2017, vol. 9, issue 12, 71-76

Abstract: In this paper I conducted a simple experiment to using Artificial Neural Network in time-series forecasting, by combining First order Markov Switching Model and K-means algorithms, the forecasting performance of machine learning has outperformed the benchmark of time-series inflation rate forecasting. The paper reveal the potential of ANN forecasting, also provide future direction of research.

Keywords: machine learning; neural network forecasting; clustering; macro-economic forecasting; Markov chain (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://ccsenet.org/journal/index.php/ijef/article/view/70753/39247 (application/pdf)
http://ccsenet.org/journal/index.php/ijef/article/view/70753 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:9:y:2017:i:12:p:71-76

Access Statistics for this article

More articles in International Journal of Economics and Finance from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().