Prediction of the Bombay Stock Exchange ( BSE ) Market Returns Using Artificial Neural Network and Genetic Algorithm

@inproceedings{Perwej2012PredictionOT,
  title={Prediction of the Bombay Stock Exchange ( BSE ) Market Returns Using Artificial Neural Network and Genetic Algorithm},
  author={Yusuf Perwej and Asif Perwej},
  year={2012}
}
Stock Market is the market for security where organized issuance and trading of Stocks take place either through exchange or over the counter in electronic or physical form. It plays an important role in canalizing capital from the investors to the business houses, which consequently leads to the availability of funds for business expansion. In this paper, we investigate to predict the daily excess returns of Bombay Stock Exchange (BSE) indices over the respective Treasury bill rate returns… CONTINUE READING
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6de Eeuwse Traditionele Bak- en Zandsteenarchitectuur

  • O. B. Antwerpen
  • 2010. http://www.belgiumview.com/belgiumview/tl1…
  • 2010
Highly Influential
5 Excerpts

A Random Walk Down Wall Street

  • B. G. Malkei
  • 7th Edition, W. W. Norton & Company, New York…
  • 1999
Highly Influential
3 Excerpts

Emerging Markets Diversification: Are Correlations Changing over Time?

  • R. Gupta
  • International Academy of Business and Public…
  • 2006
1 Excerpt

Introduction to Machine Learning (Adaptive Computation and Machine Learning)

  • E. Alpaydın
  • MIT Press, Cambridge, 2004.
  • 2004
1 Excerpt

Stock Splits and Liquidity: The Case of the Nasdaq-100 Index Tracking Stock

  • P. Dennis
  • Financial Review, Vol. 38, No. 3, 2003, pp. 415…
  • 2003
1 Excerpt

Predictable Pattern in the Stock Return

  • T. Hellstrom, K. Holmstrom
  • 1998. http://www.wbiconpro.com/2.Sandip.pdf
  • 1998
1 Excerpt

An Introduction to Genetic Algorithms

  • M. T. Mitchell
  • MIT Press, Cambridge, 1997.
  • 1997
1 Excerpt

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