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Issue title: Special Section: Intelligent Algorithms for Complex Information Services - Recent Advances and Future Trends
Guest editors: Andino Maseleno, Xiaohui Yuan and Valentina E. Balas
Article type: Research Article
Authors: Zhang, Yuan; *
Affiliations: School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, Shandong, China
Correspondence: [*] Corresponding author. Yuan Zhang, School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, Shandong 250014, China. E-mail: [email protected].
Abstract: There are still some errors and instabilities in futures analysis. In order to improve the accuracy of prediction, this study combines image processing technology and applies image processing technology to interest rate wireless to construct a static model based on image processing. The necessary conditions for no arbitrage are realized by adjusting the price of issuing virtual vouchers at a parity, that is, the discount rate is monotonous in discrete cases. In addition, this paper obtains static model statistical graphs through data, and combines image noise processing and image segmentation technology to improve the clarity of statistical graphs and records the results for analysis of this research model. The research shows that the model proposed in this study has certain feasibility in futures analysis and can provide theoretical reference for subsequent related research.
Keywords: Interest rate curve, static model, image processing, futures analysis, data processing
DOI: 10.3233/JIFS-179968
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 4, pp. 4823-4834, 2020
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