Neural network techniques for financial performance prediction: integrating fundamental and technical analysis
暂无分享,去创建一个
[1] Jane A. Ou,et al. The Information-Content Of Nonearnings Accounting Numbers As Earnings Predictors , 1990 .
[2] Duane DeSieno,et al. Trading Equity Index Futures With a Neural Network , 1992 .
[3] Steven Walczak,et al. An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks , 2001, J. Manag. Inf. Syst..
[4] D FreemanJohn. Behind the Smoke and Mirrors: Gauging the Integrity of Investment Simulations , 1992 .
[5] W. J. Oneil,et al. How to Make Money in Stocks , 1988 .
[6] Jude W. Shavlik,et al. Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules , 1991, NIPS.
[7] H. White,et al. Economic prediction using neural networks: the case of IBM daily stock returns , 1988, IEEE 1988 International Conference on Neural Networks.
[8] Jeffrey A. Frankel,et al. Financial Markets and Monetary Policy , 1995 .
[9] LiMin Fu,et al. Rule Learning by Searching on Adapted Nets , 1991, AAAI.
[10] John C. Ritchie. Fundamental analysis: A back-to-the-basics investment guide to selecting quality stocks , 1989 .
[11] A. A. Mullin,et al. Principles of neurodynamics , 1962 .
[12] Michael C. Thomsett,et al. Mastering Technical Analysis , 1999 .
[13] Eduardo S. Schwartz,et al. Investment Under Uncertainty. , 1994 .
[14] Melody Y. Kiang,et al. Managerial Applications of Neural Networks: The Case of Bank Failure Predictions , 1992 .
[15] Stephen I. Gallant,et al. Connectionist expert systems , 1988, CACM.
[16] M. C. Jensen,et al. Risk, the Pricing of Capital Assets, and the Evaluation of Investment Portfolios , 1969 .
[17] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[18] Christopher Kelly,et al. Artificial Neural Networks Make Their Mark as a Powerful Tool for Investors , 1997 .
[19] David W. Wright,et al. Using Artificial Neural Networks to Pick Stocks , 1993 .
[20] Steven Walczak,et al. Heuristic principles for the design of artificial neural networks , 1999, Inf. Softw. Technol..
[21] Russell L. Purvis,et al. Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support , 2002, Decis. Support Syst..
[22] Marc R. Reinganum. The Anatomy of a Stock Market Winner , 1988 .
[23] Ryszard S. Michalski,et al. A Theory and Methodology of Inductive Learning , 1983, Artificial Intelligence.
[24] Hongjun Lu,et al. Effective Data Mining Using Neural Networks , 1996, IEEE Trans. Knowl. Data Eng..
[25] Sebastian Thrun,et al. Extracting Provably Correct Rules from Artificial Neural Networks , 1993 .
[26] Melody Y. Kiang,et al. DKAS: A Distributed Knowledge Acquisition System in a DSS , 1993, J. Manag. Inf. Syst..
[27] Jeffrey S. Racine. On the Nonlinear Predictability of Stock Returns Using Financial and Economic Variables , 2001 .
[28] S. Dutta,et al. Bond rating: a nonconservative application of neural networks , 1988, IEEE 1988 International Conference on Neural Networks.
[29] Soumitra Dutta,et al. Bond rating: A non-conservative application of neural networks , 1988 .
[30] Min Qi,et al. Nonlinear Predictability of Stock Returns Using Financial and Economic Variables , 1999 .
[31] Paul A. Fishwick,et al. Time series forecasting using neural networks vs. Box- Jenkins methodology , 1991, Simul..
[32] R. Nakano,et al. Medical diagnostic expert system based on PDP model , 1988, IEEE 1988 International Conference on Neural Networks.
[33] E. Elton. Modern portfolio theory and investment analysis , 1981 .
[34] Tharam S. Dillon,et al. Automated knowledge acquisition , 1994, Prentice Hall International series in computer science and engineering.
[35] Amit Gupta,et al. Generalized Analytic Rule Extraction for Feedforward Neural Networks , 1999, IEEE Trans. Knowl. Data Eng..
[36] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.