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Will sentiment of forex news effect forecast of the RMB exchange rate?: POSTER

Published: 30 April 2019 Publication History

Abstract

The forecast and analysis of the trend of the RMB exchange rate have been deeply explored by many researchers in the financial field, but the combination of public opinion sentiment data and historical market data to forecast the RMB exchange rate in the short term has been studied little. With the rapid development of the Internet, the influence of public opinion sentiment on the economy and society is increasing. Online public opinion sentiment data not only have an impact on stock prices [1] and commodity prices, but also have a significant impact on foreign exchange (Forex) rates. However, the public opinion data are not applied for the RMB exchange rate forecast, because the impact of public events on the exchange rate is ignored. Besides, the lack of exact temporal sliding window of public opinion ignores its timeliness and sensibility.

References

[1]
Förschler F, Alfano S. 2017. "Reading between the lines: The effect of language sentiment on economic indicators," Enterprise Applications, Markets and Services in the Finance Industry, pp. 89--104
[2]
Wang Y, Xu H, Li B, Feng Y. Apr. 2018. "Research on the method of determining hidden layer nodes in BP neural network," Computer Technology and Development, vol. 4, pp. 31--35

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cover image ACM Conferences
CF '19: Proceedings of the 16th ACM International Conference on Computing Frontiers
April 2019
414 pages
ISBN:9781450366854
DOI:10.1145/3310273
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 April 2019

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  • Poster

Funding Sources

  • National Natural Science Foundation of China
  • Science and Technology Committee of Shanghai Municipality
  • The National Key Research and Development Program of China

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CF '19
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CF '19: Computing Frontiers Conference
April 30 - May 2, 2019
Alghero, Italy

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Overall Acceptance Rate 273 of 785 submissions, 35%

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