Towards a generic framework for short term firm-specific stock forecasting

Mansoor Ahmed, Anirudh Sriram, Sanjay Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper investigates the predictive power of technical analysis, sentiment analysis and stock market analysis coupled with a robust learning engine in predicting stock trends in the short term for specific companies. Using large and varied datasets stretching over a duration of ten years, we set out to train, test and validate our system in order to either contradict or confirm efficient market hypothesis. Our results reveal a significant improvement over the efficient market hypothesis for majority companies and thus strongly challenge it. Technical parameters and algorithms operating upon them are shown to have a significant impact upon the end-predictive power of the system, thus bolstering claims of their efficacy. Moreover, sentiment analysis results also show a strong correlation with future market trends. Lastly, the superiority of supervised non-shallow learning architectures is illustrated via a comparison of results obtained through a myriad of optimization and clustering algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2681-2688
Number of pages8
ISBN (Electronic)9781479930791
DOIs
Publication statusPublished - 01-01-2014
Event3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 - Delhi, India
Duration: 24-09-201427-09-2014

Conference

Conference3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014
CountryIndia
CityDelhi
Period24-09-1427-09-14

Fingerprint

Clustering algorithms
Stretching
Industry
Engines
Financial markets

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Ahmed, M., Sriram, A., & Singh, S. (2014). Towards a generic framework for short term firm-specific stock forecasting. In Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 (pp. 2681-2688). [6968411] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2014.6968411
Ahmed, Mansoor ; Sriram, Anirudh ; Singh, Sanjay. / Towards a generic framework for short term firm-specific stock forecasting. Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2681-2688
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Ahmed, M, Sriram, A & Singh, S 2014, Towards a generic framework for short term firm-specific stock forecasting. in Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014., 6968411, Institute of Electrical and Electronics Engineers Inc., pp. 2681-2688, 3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014, Delhi, India, 24-09-14. https://doi.org/10.1109/ICACCI.2014.6968411

Towards a generic framework for short term firm-specific stock forecasting. / Ahmed, Mansoor; Sriram, Anirudh; Singh, Sanjay.

Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2681-2688 6968411.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Ahmed M, Sriram A, Singh S. Towards a generic framework for short term firm-specific stock forecasting. In Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2681-2688. 6968411 https://doi.org/10.1109/ICACCI.2014.6968411