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Fast Forecasting of Stock Market Prices by using New High Speed Time Delay Neural Networks

Authors: Hazem M. El-Bakry, Nikos Mastorakis

Abstract:

Fast forecasting of stock market prices is very important for strategic planning. In this paper, a new approach for fast forecasting of stock market prices is presented. Such algorithm uses new high speed time delay neural networks (HSTDNNs). The operation of these networks relies on performing cross correlation in the frequency domain between the input data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented HSTDNNs is less than that needed by traditional time delay neural networks (TTDNNs). Simulation results using MATLAB confirm the theoretical computations.

Keywords: Fast Forecasting, Stock Market Prices, Time Delay NeuralNetworks, Cross Correlation, Frequency Domain.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330763

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References:


[1] Justin Wolfers, Eric Zitzewitz, "Interpreting Prediction Market Prices as Probabilities" Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2092, April 2006.
[2] Azoff, E.M. Neural Network Time Series Forecasting of Financial Markets John Wiley and Sons Ltd, 1994.
[3] J. W. Cooley and J. W. Tukey, "An algorithm for the machine calculation of complex Fourier series, " Math. Comput. 19, 1965, pp. 297-301.
[4] R. Klette, and Zamperon, "Handbook of image processing operators," John Wiley & Sonsltd, 1996.
[5] Hazem M. El-Bakry, "A Novel High Speed Neural Model for Fast Pattern Recognition," Soft Computing Journal, vol. 14, no. 6, 2010, pp. 647- 666.
[6] Hazem M. El-Bakry, "New Faster Normalized Neural Networks for Sub- Matrix Detection using Cross Correlation in the Frequency Domain and Matrix Decomposition, " Applied Soft Computing journal, vol. 8, issue 2, March 2008, pp. 1131-1149.
[7] Hazem M. El-Bakry, "Face detection using fast neural networks and image decomposition," Neurocomputing Journal, vol. 48, 2002, pp. 1039-1046.
[8] Hazem M. El-Bakry, "Human Iris Detection Using Fast Cooperative Modular Neural Nets and Image Decomposition," Machine Graphics & Vision Journal (MG&V), vol. 11, no. 4, 2002, pp. 498-512.
[9] Hazem M. El-Bakry, "New Fast Principal Component Analysis For Real- Time Face Detection," Machine Graphics & Vision Journal (MG&V), vol. 18, no.4, 2009, pp. 405-426.
[10] Hazem M. El-Bakry, "A New Neural Design for Faster Pattern Detection Using Cross Correlation and Matrix Decomposition," Neural World journal, Neural World Journal, 2009, vol. 19, no. 2, pp. 131-164.
[11] Hazem M. El-Bakry, "An Efficient Algorithm for Pattern Detection using Combined Classifiers and Data Fusion," Information Fusion Journal, vol. 11, 2010, pp. 133-148.
[12] Hazem M. El-Bakry, "New Fast Time Delay Neural Networks Using Cross Correlation Performed in the Frequency Domain," Neurocomputing Journal, vol. 69, October 2006, pp. 2360-2363.
[13] Hazem M. El-Bakry, "A New High Speed Neural Model For Character Recognition Using Cross Correlation and Matrix Decomposition," International Journal of Signal Processing, vol.2, no.3, 2005, pp. 183- 202.
[14] Hazem M. El-Bakry, "New High Speed Normalized Neural Networks for Fast Pattern Discovery on Web Pages," International Journal of Computer Science and Network Security, vol.6, No. 2A, February 2006, pp.142-152.
[15] Hazem M. El-Bakry "Fast Iris Detection for Personal Verification Using Modular Neural Networks," Lecture Notes in Computer Science, Springer, vol. 2206, October 2001, pp. 269-283.
[16] Hazem M. El-Bakry, and Qiangfu Zhao, "Fast Normalized Neural Processors For Pattern Detection Based on Cross Correlation Implemented in the Frequency Domain," Journal of Research and Practice in Information Technology, Vol. 38, No.2, May 2006, pp. 151- 170.
[17] Hazem M. El-Bakry, and Qiangfu Zhao, "Fast Time Delay Neural Networks," International Journal of Neural Systems, vol. 15, no.6, December 2005, pp.445-455.
[18] Hazem M. El-Bakry, and Qiangfu Zhao, "Speeding-up Normalized Neural Networks For Face/Object Detection," Machine Graphics & Vision Journal (MG&V), vol. 14, No.1, 2005, pp. 29-59.
[19] Hazem M. El-Bakry, and Qiangfu Zhao, "A New Technique for Fast Pattern Recognition Using Normalized Neural Networks," WSEAS Transactions on Information Science and Applications, issue 11, vol. 2, November 2005, pp. 1816-1835.
[20] Hazem M. El-Bakry, and Qiangfu Zhao, "Fast Complex Valued Time Delay Neural Networks," International Journal of Computational Intelligence, vol.2, no.1, pp. 16-26, 2005.
[21] Hazem M. El-Bakry, and Qiangfu Zhao, "Fast Pattern Detection Using Neural Networks Realized in Frequency Domain," Enformatika Transactions on Engineering, Computing, and Technology, February 25- 27, 2005, pp. 89-92.
[22] Hazem M. El-Bakry, and Qiangfu Zhao, "Face Detection Using Fast Neural Processors and Image Decomposition," International Journal of Computational Intelligence, vol.1, no.4, 2004, pp. 313-316.
[23] Hazem M. El-Bakry, and Ahmed Atwan, "Fast Business Networks for Real-Time Applications," International Journal of Universal Computer Sciences, issue 1, vol. 1, 2010, pp. 41-50.
[24] Hazem M. El-bakry, and Nikos Mastorakis, "Prediction of Market Price by using Fast Time Delay Neural Networks," Proc. of 10th WSEAS Int. Conf. on Neural Networks (NN'10), Romania, June 13-15, 2010, pp. 230-237.
[25] Hazem M. El-Bakry, and Nikos Mastorakis, "A New Fast Forecasting Technique using High Speed Neural Networks," WSEAS Transactions on Signal Processing, issue 10, vol. 4, October 2008, pp. 573-595.
[26] Hazem M. El-Bakry, "Automatic Human Face Recognition Using Modular Neural Networks," Machine Graphics & Vision Journal (MG&V), vol. 10, no. 1, 2001, pp. 47-73.
[27] Hazem M. El-Bakry, and H. Stoyan, "FNNs for Code Detection in Sequential Data Using Neural Networks for Communication Applications," Proc. of the First International Conference on Cybernetics and Information Technologies, Systems and Applications: CITSA 2004, 21-25.
[28] Hazem M. El-Bakry, and Nikos Mastorakis, "Fast Word Detection in a Speech Using New High Speed Time Delay Neural Networks," WSEAS Transactions on Information Science and Applications, issue 7, vol. 5, July 2009, pp. 261-270.
[29] Hazem M. El-Bakry, "Fast Virus Detection by using High Speed Time Delay Neural Networks," Journal of Computer Virology, vol.6, no.2, 2010, pp.115-122.
[30] Hazem M. El-Bakry, and Nikos Mastorakis, "Fast Image Matching on Web Pages," WSEAS Transactions on Signal Processing, issue 4, vol. 5, June 2009, pp. 157-166.
[31] Hazem M. El-Bakry, and Nikos Mastorakis, "Fast Information Retrieval from Web Pages," WSEAS Transactions on Information Science and Applications, issue 6, vol. 6, June 2009, pp. 1018-1036.
[32] Hazem M. El-Bakry, and Nikos Mastorakis, "Fast Detection of Specific Information in Voice Signal over Internet Protocol," WSEAS Transactions on Communications, issue 5, vol. 8, May 2009, pp. 483- 494.
[33] Hazem M. El-Bakry, and Ahmed A. Mohammed, "Optimal Document Archiving and Fast Information Retrieval," The International Journal of Computer science, and Engineering, issue 2, vol. 3, July 2009, pp. 108- 121.
[34] Hazem M. El-bakry, and Nikos Mastorakis "Fast Time Delay Neural Networks for Word Detection in a Video Conference," Proc. of European Computing and Computational Intelligence International Conference, Tbilisi, Georgia, June 26-28, 2009, pp. 120-129.
[35] Hazem M. El-bakry, and Nikos Mastorakis, "Fast Packet Detection by using High Speed Time Delay Neural Networks," Proc. of the 10th WSEAS Int. Conference on Multimedia Systems & Signal Processing, Hangzhou University, China, April 11-13, 2010, pp. 222-227.
[36] Christopher Adams, "Does Learning in Prediction Markets Lead to Information Aggregation?", mimeo, Federal Trade Commission, 2006.
[37] Mukhtar Ali, "Probability and Utility Estimators for Racetrack Bettors", Journal of Political Economy, vol. 85, no. 4, 1977, pp. 803-815.
[38] Robert J. Aumann, "Agreeing to Disagree", The Annals of Statistics, vol. 4, no. 6, 1976.
[39] Joyce Berg, Robert Forsythe, Forrest Nelson and Thomas Rietz "Results from a Dozen Years of Election Futures Markets Research," forthcoming in Charles Plott and Vernon Smith (Eds) Handbook of Experimental Economic Results, 2003.
[40] Fisher Black, "Studies of Stock Price Volatility Changes," in Proceedings of the 1976 Meetings of the Business and Economic Statistics Section, American Statistical Association, 1976, pp. 171-181.
[41] Richard Borghesi "Under reaction to New Information: Evidence from an Online Exchange", mimeo, Texas State University, 2006.
[42] Keith Chen, Jonathan E. Ingersoll and Edward H. Kaplan, "Do States Swing Together? Evidence from Political Prediction Markets", mimeo, Yale University, 2006.
[43] Jeff Dominitz, and Charles Manski "How Should We Measure Consumer Confidence," Journal of Economics Perspectives vol. 18, no. 2, 2004, pp. 51-66.
[44] Ray Fair, "Interpreting the Predictive Uncertainty of Presidential Elections", mimeo, Yale University, 2006.
[45] David Fisman, Ray Fisman, Julia Galef and Rakesh Khurana, "Estimating the value of connections to Vice-President Cheney", mimeo, Columbia University, 2006.
[46] Steven Gjerstad, "Risk Aversion, Beliefs, and Prediction Market Equilibrium", mimeo University of Arizona, 2005.
[47] Refet G├╝rkaynak, and Justin Wolfers, "Macroeconomic Derivatives: An Initial Analysis of Market-Based Macro Forecasts, Uncertainty and Risk", NBER International Seminar on Macroeconomics Annual, 2005.
[48] Milton Harris, and Artur Raviv, "Differences of Opinion Make a Horse Race", The Review of Financial Studies, vol. 6, no. 3, 1993.
[49] Brian Knight, "Are Policy Platforms Capitalized into Equity Prices? Evidence from the Bush/Gore 2000 Presidential Election", Journal of Public Economics, vol. 90, 2006, pp. 4-5.
[50] Andrew Leigh, Justin Wolfers, and Eric Zitzewitz, "What Do Financial Markets Think of War in Iraq?", NBER Working Paper #9587, 2003.
[51] Steven Levitt, "Why Are Gambling Markets Organized So Differently from Financial Markets?", Economic Journal, vol. 114, 2004.
[52] Charles Manski, "Interpreting the Predictions of Prediction Markets", Economic Letters, vol. 91, no. 3, 2006, pp. 425-429.
[53] Paul Milgrom, and Nancy Stokey, "Information, Trade, and Common Knowledge", Journal of Economic Theory, vol. 26, no. 1, 1982.
[54] Stephen Morris, "The Common Prior Assumption in Economic Theory", Economics and Philosophy, vol. 11, 1995.
[55] Stephen Morris, "Speculative Investor Behavior and Learning", Quarterly Journal of Economics, vol. 111, no. 4, 1996.
[56] Marco Ottaviani, and Peter Norman S├©rensen, "Aggregation of Information and Beliefs in Prediction Markets", mimeo, London Business School, 2006.
[57] James Sebenius, and John Geanakoplos, "Don-t Bet on It: Agreements with Asymmetric Information", Journal of the American Statistical Association, vol. 78, no. 382, 1983.
[58] Servan-Schreiber, Emile, Justin Wolfers, David Pennock and Brian Galebach, "Prediction Markets: Does Money Matter?", Electronic Markets vol. 14, no. 3, 2004.
[59] Joel Slemrod, and Timothy Greimel, "Did Steve Forbes Scare the Municipal Bond Market?", Journal of Public Economics, vol. 74, no. 1, 1999, pp. 81-96.
[60] Erik Snowberg, and Justin Wolfers, "Understanding the Favorite- Longshot Bias: Risk Preferences versus Misperceptions", mimeo, University of Pennsylvania, 2006.
[61] Snowberg, Erik, Justin Wolfers and Eric Zitzewitz, "Partisan Impacts on the Economy: Evidence from Prediction Markets and Close Elections", Quarterly Journal of Economics, vol. 122, no. 2, 2007.
[62] Paul Tetlock, "How Efficient Are Information Markets? Evidence from an Online Exchange", mimeo, University of Texas, 2004.
[63] Richard H. Thaler, and William T. Ziemba , "Anomalies: Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, vol. 2, no. 2, 1988.
[64] Justin Wolfers, and Eric Zitzewitz (2004), "Prediction Markets", Journal of Economic Perspectives, vol. 18, no. 2, 2004, pp. 107-126.
[65] Wolfers, Justin and Eric Zitzewitz, "Five Open Questions About Prediction Markets", in Robert Hahn and Paul Tetlock (eds) Information Markets: A New Way of Making Decision in the Public and Private Sectors, (Washington DC: AEI-Brookings Press, 2006.
[66] Eric Zitzewitz, "Price Discovery Among the Punters: Using New Financial Betting Markets to Predict Intraday Volatility", mimeo, Stanford University, 2006.
[67] A. W. Lo, and A. C. Mackinlay, A Non-Random Walk Down Wall Street 5th Ed. Princeton University Press, 2002.
[68] B. Graham, The Intelligent Investor Harper Collins; Rev Ed edition, 2003.