International Journal of Soft Computing

Year: 2013
Volume: 8
Issue: 3
Page No. 218 - 222

Computationally Intellectual Structure for Forecasting Share Price

Authors : M.P. Rajakumar and V. Shanthi

References

Abbasi, E. and A. Abouse, 2009. Stock price forecast by using neuro-fuzzy inference system. Int. J. Busi. Econom. Finan. Manage. Sci., 4: 11366-11369.
Direct Link  |  

Adebiyi, A.A., C.K. Ayo, M.O. Adebiyi and S.O. Otokiti, 2012. An improved stock price prediction using hybrid market indicators. Af. J. Comput. ICT., 5: 124-135.
Direct Link  |  

Agarwal, D.J.P., V. Singhal, A. Singh and R.K. Murmu, 2010. Comparative study of volatility forecasting between ann and hybrid models for indian market. Int. Res. J. Finan. Econom., 45: 68-79..

Casson, P. and G. Mckenzie, 2007. A comparison of measures of earnings per share. Eur. J. Finan., 13: 283-298.
CrossRef  |  Direct Link  |  

Choudhary, A. and R. Rishi, 2011. Improving the character recognition efficiency of feed forward bp neural network. Int. J. Comput. Sci. Info. Technol., 3: 1-85.
Direct Link  |  

Cohen, G., 2010. P/E Versus PEG: Which better predicts abnormal return? Int. J. Econ. Res., 1: 38-46.
Direct Link  |  

Easton, P.D., 2004. PE ratios PEG ratios and estimating the implied expected rate of return on equity capital. Accounting Rev., 79: 73-95.
Direct Link  |  

Egeli, B., M. Ozturan and B. Badur, 2003. Stock market prediction using artificial neural networks. Proceedings of the 3rd International Conference on Business, June 18-21, 2003, Hawaii, pp: 1-8.

El-Bakry, H.M. and N. Mastorakis, 2010. Fast forecasting of stock market prices by using new high speed time delay neural networks. World Acad. Sci. Engin. Technol., 37: 705-711..

Hellstrom, T. and K. Holmstrom, 1997. Predicting the stock market. Tech. Report Series IMa-TOM-1997-07. Vasteras, Malardalen University, http://www.e-m-h.org/HeHo98.pdf.

Lawrence, R., 1997. Using neural network to forecast stock market prices. Department of Computer Science, University of Manitoba, Canada, http://sharesforcast.googlecode.com/svn-history/r77/nn.pdf.

Ong, T.S., Y.N. Yichen and B.H. Teh, 2010. Can high price earnings ratio act as an indicator of the coming bear market in the Malaysia? Int. J. Busin. Soc. Sci., 1: 194-211..

Rahou, A.A.M., H. Al-Madfai, H. Combs, D. Gilleland and A. Ware, 2007. A generalized algorithm for modeling and forecasting the share prices of the banking sector. Proceedings of the World Congress on Engineering, Volume 2, July 2-4 2007, U.K., London, pp: 948-955,.

Ravichandran, K.S., P. Thirunavukarasu, R. Nallaswamy and R. Babu, 2005. Estimation of return on investments in share market through ANN. J. Theor. Applied Infor. Technol., 3: 44-54.
Direct Link  |  

Roodposti, F.R. and R.E. Rasi, 2011. Sensitivity analysis based on artificial neural networks for evaluating economical plans. Proceedings of the World Congress on Engineering, Volume: I. July 6-8, 2011, U.K., London. -.

Wei, L.Y., C.H. Cheng and H.H. Wu, 2011. Fusion ANFIS model based on AR for forecasting EPS of leading industries. Int. J. Innov. Comput. Info. Cont., 7: 5445-5458..

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved