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Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach
Joint Authors
Ordieres Meré, Joaquín B.
Liu, Yang
Zeng, Qingguo
Yang, Huanrui
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
An increasing number of the renowned company’s investors are turning attention to stock prediction in the search for new efficient ways of hypothesizing about markets through the application of behavioral finance.
Accordingly, research on stock prediction is becoming a popular direction in academia and industry.
In this study, the goal is to establish a model for predicting stock price movement through knowledge graph from the financial news of the renowned companies.
In contrast to traditional methods of stock prediction, our approach considers the effects of event tuple characteristics on stocks on the basis of knowledge graph and deep learning.
The proposed model and other feature selection models were used to perform feature extraction on the websites of Thomson Reuters and Cable News Network.
Numerous experiments were conducted to derive evidence of the effectiveness of knowledge graph embedding for classification tasks in stock prediction.
A comparison of the average accuracy with which the same feature combinations were extracted over six stocks indicated that the proposed method achieves better performance than that exhibited by an approach that uses only stock data, a bag-of-words method, and convolutional neural network.
Our work highlights the usefulness of knowledge graph in implementing business activities and helping practitioners and managers make business decisions.
American Psychological Association (APA)
Liu, Yang& Zeng, Qingguo& Ordieres Meré, Joaquín B.& Yang, Huanrui. 2019. Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complexity،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1133160
Modern Language Association (MLA)
Liu, Yang…[et al.]. Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complexity No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1133160
American Medical Association (AMA)
Liu, Yang& Zeng, Qingguo& Ordieres Meré, Joaquín B.& Yang, Huanrui. Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complexity. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1133160
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133160