Neural Networks and the Financial Markets
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[1] Bruce I. Jacobs, Ph.D.,et al. Disentangling Equity Return Regularities: New Insights and Investment Opportunities , 1987 .
[2] F. Sortino,et al. Performance Measurement in a Downside Risk Framework , 1994 .
[3] M. Hatanaka. On the Global Identification of the Dynamic Simultaneous Equations Model with Stationary Disturbances , 1975 .
[4] Yazid M. Sharaiha,et al. Heuristics for cardinality constrained portfolio optimisation , 2000, Comput. Oper. Res..
[5] Peter R. Winters,et al. Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .
[6] Frank Gerhard,et al. Multivariate market risk estimators: reliability and transaction costs in the context of portfolio selection , 2003 .
[7] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[8] H. White,et al. Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap , 1999 .
[9] John C. W. Rayner,et al. The comparison of sample covariance matrices using likelihood ratio tests , 1987 .
[10] James H. Stock,et al. Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors , 1987 .
[11] A. Neil Burgess,et al. Neural networks in financial engineering: a study in methodology , 1997, IEEE Trans. Neural Networks.
[12] W. Ziemba,et al. The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice , 1993 .
[13] Giulia Iori,et al. A Microsimulation of Traders Activity in the Stock Market: The Role of Heterogeneity, Agents' Interactions and Trade Frictions , 1999, adap-org/9905005.
[14] E. Fama,et al. Risk, Return, and Equilibrium: Empirical Tests , 1973, Journal of Political Economy.
[15] Spyros Makridakis,et al. The M3-Competition: results, conclusions and implications , 2000 .
[16] Tomaso A. Poggio,et al. Regularization Theory and Neural Networks Architectures , 1995, Neural Computation.
[17] Otto Loistl. The Erroneous Approximation of Expected Utility by Means of a Taylor's Series Expansion: Analytic and Computational Results , 1976 .
[18] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[19] E. George,et al. Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .
[20] Lawrence Fisher,et al. Some New Stock-Market Indexes , 1966 .
[21] N. Towers,et al. Implementing Trading Strategies for Forecasting Models , 1999 .
[22] Fraser,et al. Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.
[23] K. French. Stock returns and the weekend effect , 1980 .
[24] C. Holt. Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .
[25] R. Haugen. Modern investment theory , 1986 .
[26] Everette S. Gardner,et al. Exponential smoothing: The state of the art , 1985 .
[27] John Matatko,et al. Estimation risk and optimal portfolio choice , 1980 .
[28] Edward I. George,et al. Two Approaches to Bayesian Model Selection with Applications , 1996 .
[29] A. Stuart,et al. Portfolio Selection: Efficient Diversification of Investments , 1959 .
[30] Michael A. Saunders,et al. Inertia-Controlling Methods for General Quadratic Programming , 1991, SIAM Rev..
[31] Bruce E. Rosen,et al. Ensemble Learning Using Decorrelated Neural Networks , 1996, Connect. Sci..
[32] S. Weisberg. Applied Linear Regression , 1981 .
[33] A. Lo,et al. Data-Snooping Biases in Tests of Financial Asset Pricing Models , 1989 .
[34] A. E. Hoerl,et al. Ridge Regression: Applications to Nonorthogonal Problems , 1970 .
[35] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[36] Walter Hlawitschka,et al. The Empirical Nature of Taylor-Series Approximations to Expected Utility , 1994 .
[37] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[38] Andrei Shleifer. Positive Feedback Investment Strategies , 2000 .
[39] R. Lucas. ASSET PRICES IN AN EXCHANGE ECONOMY , 1978 .
[40] N. Sar. Asset Allocation and the Investor’s Relative Risk Aversion , 1993 .
[41] A. Lo,et al. The Size and Power of the Variance Ratio Test in Finite Samples: a Monte Carlo Investigation , 1988 .
[42] G. Box,et al. Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models , 1970 .
[43] Masami Ito,et al. Task decomposition and module combination based on class relations: a modular neural network for pattern classification , 1999, IEEE Trans. Neural Networks.
[44] C. Chatfield,et al. The M2-competition: A real-time judgmentally based forecasting study , 1993 .
[45] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .
[46] B. LeBaron,et al. Simple Technical Trading Rules and the Stochastic Properties of Stock Returns , 1992 .
[47] Michael R. Gibbons,et al. Day of the Week Effects and Asset Returns , 1981 .
[48] Adrian Pagan,et al. A note on the extraction of components from time series , 1975 .
[49] M. Best,et al. On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results , 1991 .
[50] D. Mackay,et al. Bayesian methods for adaptive models , 1992 .
[51] Lizhong Wu,et al. Optimization of trading systems and portfolios , 1997, Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr).
[52] William L. Goffe,et al. SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .
[53] R. Brown,et al. Smoothing, Forecasting, and Prediction of Discrete Time Series , 1965 .
[54] Thomas Ankenbrand,et al. Agent Based Simulation of Multiple Financial Markets , 1997 .
[55] L. Harris. A transaction data study of weekly and intradaily patterns in stock returns , 1986 .
[56] David H. Wolpert,et al. On Bias Plus Variance , 1997, Neural Computation.
[57] Shun-ichi Amari,et al. Network information criterion-determining the number of hidden units for an artificial neural network model , 1994, IEEE Trans. Neural Networks.
[58] H. White,et al. A Reality Check for Data Snooping , 2000 .
[59] O. Grandville. Bond Pricing and Portfolio Analysis: Protecting Investors in the Long Run , 2000 .
[60] Charles P. Jones,et al. Can Tax-Loss Selling Explain the January Effect? A Note , 1987 .
[61] Naonori Ueda,et al. Generalization error of ensemble estimators , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).
[62] Andreas S. Weigend,et al. Nonlinear Trading Models Through Sharpe Ratio Maximization , 1997, Int. J. Neural Syst..
[63] E. Fama,et al. The Adjustment of Stock Prices to New Information , 1969 .
[64] J. Muth. Optimal Properties of Exponentially Weighted Forecasts , 1960 .
[65] Neville Davies,et al. Time Series Models, 2nd Edn. , 1995 .
[66] Robert A. Jacobs,et al. Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.
[67] D. Bertsimas,et al. Optimal control of execution costs , 1998 .
[68] Andrew D. Back,et al. Discovering Structure in Finance Using Independent Component Analysis , 1998 .
[69] Robert A. Levy,et al. RELATIVE STRENGTH AS A CRITERION FOR INVESTMENT SELECTION , 1967 .
[70] D. Lowe,et al. Time series prediction by adaptive networks: a dynamical systems perspective , 1991 .
[71] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[72] F. Takens. Detecting strange attractors in turbulence , 1981 .
[73] Anthony C. C. Coolen,et al. Dynamical solution of the on-line minority game , 2001 .
[74] Robert L. Winkler,et al. The accuracy of extrapolation (time series) methods: Results of a forecasting competition , 1982 .
[75] John Law,et al. Robust Statistics—The Approach Based on Influence Functions , 1986 .
[76] P. Dellaportas,et al. Stochastic search variable selection for log-linear models , 2000 .
[77] B. Carlin,et al. Bayesian Model Choice Via Markov Chain Monte Carlo Methods , 1995 .
[78] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[79] Marc R. Reinganum. The anomalous stock market behavior of small firms in January: Empirical tests for tax-loss selling effects , 1983 .
[80] R. Tibshirani,et al. Penalized Discriminant Analysis , 1995 .
[81] D. Bunn,et al. Statistical efficiency in the linear combination of forecasts , 1985 .
[82] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[83] K. Wallis. Multiple Time Series Analysis and the Final Form of Econometric Models , 1977 .
[84] F. Black,et al. The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.
[85] Phoebus J. Dhrymes,et al. Distributed Lags:A Survey , 1972 .
[86] 加藤 清. Seasonal and size anomalies in the Japanese stock market , 1985 .
[87] 김경재,et al. Intelligent Systems and Web Agents for Financial Forecasting = 재무예측을 위한 지능형 시스템과 웹 에이전트 , 2001 .
[88] Masumi Ishikawa,et al. Structural learning with forgetting , 1996, Neural Networks.
[89] E. Fama,et al. Efficient Capital Markets : II , 2007 .
[90] A. N. Burgess. Non-linear model identification and statistical significance tests and their application to financial modelling , 1995 .
[91] Giulia Iori,et al. Avalanche Dynamics And Trading Friction Effects On Stock Market Returns , 1999 .
[92] G. Box,et al. On a measure of lack of fit in time series models , 1978 .
[93] A. Lo,et al. A Non-Random Walk Down Wall Street , 1999 .
[94] Derek W. Bunn,et al. Synthesis or selection of forecasting models , 1982 .
[95] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[96] C. Granger,et al. The Random Character of Stock Market Prices. , 1965 .
[97] E. Fama. EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .
[98] R. Thaler,et al. Does the Stock Market Overreact , 1985 .
[99] Robert M. Farber,et al. How Neural Nets Work , 1987, NIPS.
[100] J. Moody,et al. Performance functions and reinforcement learning for trading systems and portfolios , 1998 .
[101] A. Raftery,et al. Model-based Gaussian and non-Gaussian clustering , 1993 .
[102] Yoh-Han Pao,et al. Stochastic choice of basis functions in adaptive function approximation and the functional-link net , 1995, IEEE Trans. Neural Networks.
[103] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[104] J. Jobson,et al. Estimation for Markowitz Efficient Portfolios , 1980 .