Neural Network Earnings per Share Forecasting Models: A Comparative Analysis of Alternative Methods
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[1] Paul A. Griffin,et al. Time-Series Behavior Of Quarterly Earnings - Preliminary Evidence , 1977 .
[2] Luis G. Vargas,et al. Choosing Data-Mining Methods for Multiple Classification: Representational and Performance Measurement Implications for Decision Support , 1999, J. Manag. Inf. Syst..
[3] Fatemeh Zahedi,et al. Leveraging the Strengths of Choice Models and Neural Networks: A Multiproduct Comparative Analysis , 2002, Decis. Sci..
[4] R. Iman,et al. Approximations of the critical region of the fbietkan statistic , 1980 .
[5] Lynn L. Rees,et al. The Contribution of Fundamental Analysis after a Currency Devaluation , 2003 .
[6] Stephen P. Curram,et al. Forecasting consumers' expenditure: A comparison between econometric and neural network models , 1996 .
[7] Ravinder Nath,et al. Determining the saliency of input variables in neural network classifiers , 1997, Comput. Oper. Res..
[8] Gregory R. Madey,et al. The Application of Neural Networks and a Qualitative Response Model to the Auditor's Going Concern Uncertainty Decision* , 1995 .
[9] Wilpen L. Gorr,et al. Editorial: Research prospective on neural network forecasting , 1994 .
[10] Michael Y. Hu,et al. A Cross‐Validation Analysis of Neural Network Out‐of‐Sample Performance in Exchange Rate Forecasting , 1999 .
[11] Dennis Murray,et al. Note on Adjustments to Analysts' Earnings Forecasts Based Upon Systematic Cross-Sectional Components of Prior-Period Errors , 1995 .
[12] C. L. Philip Chen,et al. A rapid learning and dynamic stepwise updating algorithm for flat neural networks and the application to time-series prediction , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[13] Gary Klein,et al. Marketing Category Forecasting: An Alternative of BVAR-Artificial Neural Networks , 2000, Decis. Sci..
[14] Jeffrey E. Jarrett,et al. Forecasting Seasonal Time Series of Corporate Earnings: A Note* , 1990 .
[15] Kenneth S. Lorek,et al. Evidence on the Superiority of Analysts Quarterly Earnings Forecasts for Small Capitalization Firms , 1995 .
[16] Brian J. Bushee,et al. Fundamental Analysis Future Earnings, and Stock Prices , 1997 .
[17] Lawrence D. Brown,et al. Univariate Time-Series Models of Quarterly Accounting Earnings per Share: A Proposed Model , 1979 .
[18] M. Qi. Predicting US recessions with leading indicators via neural network models , 2001 .
[19] Robert K. Triest,et al. Role of firms in job creation and destruction in U.S. manufacturing , 2000 .
[20] Trefor P. Williams. Predicting completed project cost using bidding data , 2002 .
[21] Bruce Curry,et al. NEURAL NETWORKS AND BUSINESS FORECASTING: AN APPLICATION TO CROSS‐SECTIONAL AUDIT FEE DATA , 1998 .
[22] S. Penman,et al. FINANCIAL STATEMENT ANALYSIS AND THE PREDICTION OF STOCK RETURNS , 1989 .
[23] Nallan C. Suresh,et al. Performance of Selected Part‐Machine Grouping Techniques for Data Sets of Wide Ranging Sizes and Imperfection , 1994 .
[24] Min Qi,et al. Nonlinear Predictability of Stock Returns Using Financial and Economic Variables , 1999 .
[25] Brian J. Bushee,et al. Abnormal Returns to a Fundamental Analysis Strategy , 1997 .
[26] Greg Tkacz. Neural network forecasting of Canadian GDP growth , 2001 .
[27] Patrick L. Brockett,et al. A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice , 1997 .
[28] Paul Slovic,et al. Analyzing the Use of Information in Investment Decision Making: A Methodological Proposal , 1972 .
[29] Siddhartha Bhattacharyya,et al. Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study* , 1998 .
[30] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[31] Kenneth S. Lorek,et al. The relationship between time-series models and the security market's expectation of quarterly earnings , 1984 .
[32] Joseph D. Piotroski. Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers , 2000 .
[33] Vijay S. Desai,et al. The Efficacy of Neural Networks in Predicting Returns on Stock and Bond Indices , 1998 .
[34] E. Ziegel. Introduction to the Theory and Practice of Econometrics , 1989 .
[35] Bill C. Hardgrave,et al. Predicting graduate student success: A comparison of neural networks and traditional techniques , 1994, Comput. Oper. Res..
[36] H Zhu,et al. A Bayesian framework for the combination of classifier outputs , 2002, J. Oper. Res. Soc..
[37] G. Judge,et al. Introduction to the Theory and Practice , 1988 .
[38] Melody Y. Kiang,et al. Managerial Applications of Neural Networks: The Case of Bank Failure Predictions , 1992 .
[39] Yufei Yuan,et al. Neural network forecasting of quarterly accounting earnings , 1996 .
[40] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[41] Da-Hsien Bao,et al. Change in Inventory and Firm Valuation , 2004 .
[42] Xiaoning Zhang,et al. Data Mining for Network Intrusion Detection: A Comparison of Alternative Methods , 2001, Decis. Sci..
[43] Stephen H. Penman,et al. Return to Fundamentals , 1992 .
[44] B. Lev,et al. Fundamental Information Analysis , 1993 .
[45] Morton Pincus,et al. A Reexamination of the Incremental Information Content of Capital Expenditures , 2003 .
[46] Robert S. Harris,et al. Consensus forests of corporate earnings: analysts' forecasts and time series methods , 1987 .
[47] Robin L. Tarpley,et al. Contextual Fundamental Analysis Through the Prediction of Extreme Returns , 2001 .
[48] R. A. Groeneveld,et al. Practical Nonparametric Statistics (2nd ed). , 1981 .
[49] Chih-Yang Tsai. An iterative feature reduction algorithm for probabilistic neural networks , 2000 .
[50] K. K. Raman,et al. Are Fundamentals Priced in the Bond Market , 2003 .
[51] Philip Hans Franses,et al. Recognizing changing seasonal patterns using artificial neural networks , 1997 .
[52] Gerald J. Lobo,et al. Combining Judgmental and Statistical Forecasts: An Application to Earnings Forecasts , 1990 .
[53] G. Zhang,et al. Predicting mutual fund performance using artificial neural networks , 1999 .
[54] Carl R. Beidleman,et al. Composite Earnings Forecasting Efficiency , 1987 .
[55] Yves Chauvin,et al. Backpropagation: theory, architectures, and applications , 1995 .
[56] Wooju Kim,et al. Combination of multiple classifiers for the customer's purchase behavior prediction , 2003, Decis. Support Syst..
[57] David J. Groggel,et al. Practical Nonparametric Statistics , 2000, Technometrics.
[58] Ram S. Sriram,et al. A Comparison of Selected Artificial Neural Networks that Help Auditors Evaluate Client Financial Viability , 2000, Decis. Sci..
[59] John B. Guerard,et al. Linear constraints, robust‐weighting and efficient composite modeling , 1987 .
[60] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[61] Ross L. Watts,et al. TIME-SERIES OF ANNUAL ACCOUNTING EARNINGS , 1977 .