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FINANCIAL TIME SERIES FORECASTING BY NEURAL NETWORK USING CONJUGATE GRADIENT LEARNING ALGORITHM AND MULTIPLE LINEAR REGRESSION WEIGHT INITIALIZATION
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FINANCIAL TIME SERIES FORECASTING BY NEURAL NETWORK USING CONJUGATE GRADIENT LEARNING ALGORITHM AND MULTIPLE LINEAR REGRESSION WEIGHT INITIALIZATION (2000)FINANCIAL TIME SERIES FORECASTING BY NEUR…Technical Analysis from A to Z (2005)Technical Analysis from A to ZNeural networks for financial forecasting (1995)Neural networks for financial…Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, …Stock performance modeling using neural networks: A comparative study with regression models (1994)Stock performance modeling us…Comparing the Modeling Performance of Regression and Neural Networks as Data Quality Varies: A Business Value Approach (1993)Comparing the Modeling Perfor…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING FOREIGN EXCHANGE RATE (2011)ARTIFICIAL NEURAL NETWORK MOD…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)An Empirical Investigation of the Arbitrage Pricing Theory (1980)Information and Volatility: The No-Arbitrage Martingale Approach to Timing and Resolution Irrelevancy (1989)Option price forecasting using neural networks (2000)Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest (2006)An Ensemble of LSTM Neural Networks for High-Frequency Stock Market Classification (2018)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Models of Bounded Rationality (1997)Predicting the Price of Bitcoin Using Machine Learning (2018)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)Trading and Exchanges: Market Microstructure for Practitioners (2002)Foreign Currency Exchange Rates Prediction Using CGP and Recurrent Neural Network (2014)Artificial Neural Network Based Model for Forecasting of Inflation in India (2016)Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Simulation Modeling and Analysis. (1983)Data quality in neural network models: effect of error rate and magnitude of error on predictive accuracy (1999)Using Neural Networks to Understand Service Risk in the Holiday Product (1999)Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption (2003)Norm theory: Comparing reality to its alternatives. (1986)Investor Sentiment and the Closed‐End Fund Puzzle (1991)An Engine, Not a Camera (2006)Neural network forecasting of Canadian GDP growth (2001)Investment using technical analysis and fuzzy logic (2002)An empirical methodology for developing stockmarket trading systems using artificial neural networks (2008)Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis (2003)Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015)Financial news predicts stock market volatility better than close price (2018)A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting (2012)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)
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References

  • 1973A Random Walk Down Wall Street1,743 cited
  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 1994Stock performance modeling using neural networks: A comparative study with regression models319 cited
  • 1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets261 cited
  • 1995Neural networks for financial forecasting229 cited
  • 2005Technical Analysis from A to Z226 cited
  • 1993Comparing the Modeling Performance of Regression and Neural Networks as Data Quality Varies: A Business Value Approach108 cited

Cited by

  • 2011ARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING FOREIGN EXCHANGE RATE51 cited

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