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JACIII Vol.26 No.3 pp. 382-392
doi: 10.20965/jaciii.2022.p0382
(2022)

Paper:

Market Forecasting by Variable Selection of Indicators and Emotion Scores from Text Data

Eri Domoto*, Koji Okuhara**, and Antonio Oliveira Nzinga Rene**

*Department of Media Business, Faculty of Media Business, Hiroshima University of Economics
5-37-1 Gion, Asaminami, Hiroshima-shi, Hiroshima 731-0192, Japan

**Department of Information Systems Engineering, Graduate School of Engineering, Toyama Prefectural University
5180 Kurokawa, Imizu, Toyama 939-0398, Japan

Received:
May 20, 2021
Accepted:
March 8, 2022
Published:
May 20, 2022
Keywords:
variable selection, alternative data, financial market forecasting
Abstract
Market Forecasting by Variable Selection of Indicators and Emotion Scores from Text Data

Construction system flow

The size of financial markets has become huge, research on mechanisms is becoming more critical, and research is progressing. In addition to research on financial market modelling, there have been increasing attempts to clarify the mechanism of the Financial Markets Commission by associating markets with events that occur outside the market. Therefore, in this study, we investigate the effects of factors outside the market on exchange rates and consider the mechanisms necessary to consider the effects of automatic trading. We propose an analysis method for automatic trading of foreign exchange that considers external and internal factors in the market.

Cite this article as:
Eri Domoto, Koji Okuhara, and Antonio Oliveira Nzinga Rene, “Market Forecasting by Variable Selection of Indicators and Emotion Scores from Text Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.3, pp. 382-392, 2022.
Data files:
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