Skip to main content
SpringerLink
Log in

Analysis and Prediction About the Relationship of Foreign Exchange Market Sentiment and Exchange Rate Trend

  • Conference paper
  • First Online:
Advances in Information and Communication Networks (FICC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 887))

Included in the following conference series:

Abstract

This paper aims at finding the relationship between the market sentiment and the market trend in the foreign exchange market, and predicting the future trend of the market in a specific time period. We analyze the market sentiment through the broadcast news, and use the polynomial naïve byes model to classify the sentiment of the news. We set several time windows, and use time series analysis to predict the future market trend within the time window.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Piccotti, L.R.: Jumps, cojumps, and efficiency in the spot foreign exchange market. J. Bank. Finan. 87, 49–67 (2017)

    Article  Google Scholar 

  2. Gau, Y.-F., Wu, Z.-X.: Macroeconomic announcements and price discovery in the foreign exchange market. J. Int. Money Finan. 79, 232–254 (2017)

    Article  Google Scholar 

  3. Ribeiro, P.J.: Selecting exchange rate fundamentals by bootstrap. Int. J. Forecast. 33(4), 894–914 (2017)

    Article  Google Scholar 

  4. Chen, M.-P., Lee, C.-C., Hsu, Y.-C.: Investor sentiment and country exchange traded funds: does economic freedom matter? N. Am. J. Econ. Finan. 42, 285–299 (2017)

    Article  Google Scholar 

  5. Ahmed, S., Coulibaly, B., Zlate, A.: International financial spillovers to emerging market economies: how important are economic fundamentals? J. Int. Money Finan. 76, 133–152 (2017)

    Article  Google Scholar 

  6. Talebi, H., Hoang, W., Gavrilova, M.L.: Multi-scale foreign exchange rates ensemble for classification of trends in FOREX market. Procedia Comput. Sci. 29, 2065–2075 (2014)

    Article  Google Scholar 

  7. Sewell, M., Shawe-Taylor, J.: Forecasting foreign exchange rates using kernel methods. Expert Syst. Appl. 39(9), 7652–7662 (2012)

    Article  Google Scholar 

  8. Beltrametti, L., Fiorentini, R., Marengo, L., Tamborini, R.: A learning-to-forecast experiment on the foreign exchange market with a classifier system. J. Econ. Dyn. Control 21(8–9), 1543–1575 (1997)

    Article  MathSciNet  Google Scholar 

  9. You, J.-X.: Spiral of silence: media emotion and asset mispricing of new capacity by 2012 (9): 13

    Google Scholar 

  10. Nassirtoussi, A.K., Aghabozorgi, S., Wah, T.Y., Ngo, D.C.L.: Text mining for market prediction: a systematic review. Expert Syst. Appl. 41(16), 7653–7670 (2014)

    Article  Google Scholar 

  11. Nassirtoussi, A.K., Aghabozorgi, S., Wah, T.Y., Ngo, D.C.L.: Text mining of news-headlines for FOREX market prediction: a multi-layer dimension reduction algorithm with semantics and sentiment. Expert Syst. Appl. 42(1), 306–324 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Management of Science and Engineering, Dongbei University of Finance and Economics, Dalian, China

    Wanyu Du & Mengji Zhang

Authors
  1. Wanyu Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mengji Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wanyu Du .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, New Delhi, India

    Rahul Bhatia

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Du, W., Zhang, M. (2019). Analysis and Prediction About the Relationship of Foreign Exchange Market Sentiment and Exchange Rate Trend. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-030-03405-4_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03405-4_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03404-7

  • Online ISBN: 978-3-030-03405-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation