Skip to main content

A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading

  • Conference paper
Data Mining and Knowledge Management (CASDMKM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3327))

Abstract

This study presents a neural network & web-based decision support system (DSS) for foreign exchange (forex) forecasting and trading decision, which is adaptable to the needs of financial organizations and individual investors. In this study, we integrate the back-propagation neural network (BPNN)- based forex rolling forecasting system to accurately predict the change in direction of daily exchange rates, and the Web-based forex trading decision support system to obtain forecasting data and provide some investment decision suggestions for financial practitioners. This research reveals the structure of the DSS by the description of an integrated framework, and meantime we find that the DSS is integrated, user-oriented by its implementation, and practical applications reveal that this DSS demonstrates very high forecasting accuracy and its trading recommendations are reliable.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Quah, T.S., Tan, C.L., Raman, K.S., Srinivasan, B.: Towards integrating rule-based expert systems and neural networks. Decision Support Systems 17, 99–118 (1996)

    Article  Google Scholar 

  2. Kean, P.G.W., Scott Morton, M.S.: Decision Support Systems: An Organizational Perspective. Addison- Wesley, Reading (1978)

    Google Scholar 

  3. Tsoi, A.C., Tan, C.N.W., Lawrence, S.: Financial time series forecasting: Application of artificial neural network techniques. Working paper (1993)

    Google Scholar 

  4. Faraway, J., Chatfield, C.: Time series forecasting with neural networks: a comparative study using the airline data. Applied Statistics 47(2), 231–250 (1998)

    Google Scholar 

  5. Kaastra, I., Boyd, M.S.: Forecasting futures trading volume using neural networks. The Journal of Futures Markets 15(8), 953–970 (1995)

    Article  Google Scholar 

  6. Freeman, J.A., Skapura, D.M.: Neural Networks: Algorithms, Applications and Programming Techniques. Addison-Wesley, MA (1991)

    MATH  Google Scholar 

  7. Maier, H.R., Dandy, G.C.: Neural networks for the prediction and forecasting of water resources variables: a review of modeling issues and applications. Environmental Modelling & Software 15, 101–124 (2000)

    Article  Google Scholar 

  8. Yu, L.A., Wang, S.Y., Lai, K.K.: Exchange rates rolling forecasting using neural network model with parameter adaptive control. In: Chen, S., et al. (eds.) Financial Systems Engineering, pp. 330–346. Global-Link Publishers, Hong Kong (2003)

    Google Scholar 

  9. Chen, A.S., Leung, M.T.: Regression network for error correction in foreign exchange forecasting and trading. Computers & Operations Research 31(7), 1049–1068 (2004)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lai, K.K., Yu, L., Wang, S. (2004). A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30537-8_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23987-1

  • Online ISBN: 978-3-540-30537-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics