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Prediction of the MSCI EURO index based on fuzzy grammar fragments extracted from European central bank statements

  • D.V. Milea
  • , N.M. Sharef
  • , R.J. Almeida
  • , U. Kaymak
  • , F. Frasincar

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

We focus on predicting the movement of the MSCI EURO index based on European Central Bank (ECB) statements. For this purpose we learn and extract fuzzy grammars from the text of the ECB statements. Based on a set of selected General Inquirer (GI) categories, the extracted fuzzy grammars are grouped around individual content categories. The frequency at which these fuzzy grammars are encountered in the text constitute input to a Fuzzy Inference System (FIS). The FIS maps these frequencies to the levels of the MSCI EURO index. Ultimately, the goal is to predict whether the MSCI EURO index will exhibit upward or downward movement based on the content of ECB statements, as quantified through the use of fuzzy grammars and GI content categories.
Original languageEnglish
Title of host publicationProceedings of the International Conference of Soft Computing and Pattern Recognition, 7-10 December 2010, Cergy Pontoise, Paris,
EditorsT. Martin, A.K. Muda, A. Abraham
PublisherInstitute of Electrical and Electronics Engineers
Pages231-236
ISBN (Print)978-1-4244-7895-8
DOIs
Publication statusPublished - 2010
Eventconference; 2010 International Conference of Soft Computing and Pattern Recognition; 2010-12-07; 2010-12-10 -
Duration: 7 Dec 201010 Dec 2010

Conference

Conferenceconference; 2010 International Conference of Soft Computing and Pattern Recognition; 2010-12-07; 2010-12-10
Period7/12/1010/12/10
Other2010 International Conference of Soft Computing and Pattern Recognition

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