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A Morphological-Rank-Linear evolutionary method for stock market prediction
12 references·3 citing·42 second hop
A Morphological-Rank-Linear evolutionary method for stock market prediction (2009)A Morphological-Rank-Linear evolutionary …Improving artificial neural networks’ performance in seasonal time series forecasting (2008)Improving artificial neural n…Quarterly Time-Series Forecasting With Neural Networks (2007)Quarterly Time-Series Forecas…Forecasting exchange rates: A robust regression approach (2006)Forecasting exchange rates: A…Neural Networks Approach to the Random Walk Dilemma of Financial Time Series (2002)Neural Networks Approach to t…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data (1996)Much ado about nothing? Excha…The Econometric Modelling of Financial Time Series. (1995)The Econometric Modelling of …The Econometric Modelling of Financial Time Series. (1994)The Econometric Modelling of …On the limitations of comparing mean square forecast errors (1993)On the limitations of compari…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetTime Series Analysis Forecasting and Control (1971)Time Series Analysis Forecast…A hierarchical attention network for stock prediction based on attentive multi-view news learning (2022)A hierarchical attention netw…A hybrid model for high-frequency stock market forecasting (2015)A hybrid model for high-frequ…Stock Prediction by Searching for Similarities in Candlestick Charts (2014)Stock Prediction by Searching…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Time series forecasting using a hybrid ARIMA and neural network model (2003)Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China (2013)A survey on forecasting of time series data (2016)Time-series forecasting of seasonal items sales using machine learning – A comparative analysis (2022)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networks (2007)NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING (2007)Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks (2013)Time Series Analysis: Forecasting and Control (1977)A comparison of univariate methods for forecasting container throughput volumes (2009)Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition (2011)Forecasting tourism demand with denoised neural networks (2018)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Forecasting in cointegrated systems (1995)Forecasting economic and financial time-series with non-linear models (2004)Comparing forecast accuracy: A Monte Carlo investigation (2012)Empirical exchange rate models of the seventies (1983)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Fuzzy artificial neural network (p, d, q) model for incomplete financial time series forecasting (2014)Gold price analysis based on ensemble empirical model decomposition and independent component analysis (2016)The Role of Technical Indicators in Exchange Rate Forecasting (2017)Norm theory: Comparing reality to its alternatives. (1986)Investor Sentiment and the Closed‐End Fund Puzzle (1991)An Engine, Not a Camera (2006)Political Parties and Macroeconomic Policy (1977)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Seasonal integration and cointegration (1990)More on a Stochastic Asset Model for Actuarial Use (1995)Shock and volatility transmission in the oil, US and Gulf equity markets (2005)Chapter 15 Volatility and Correlation Forecasting (2006)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)
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References

  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
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  • 1973A Random Walk Down Wall Street1,743 cited
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  • 1995The Econometric Modelling of Financial Time Series.338 cited
  • 2008Improving artificial neural networks’ performance in seasonal time series forecasting281 cited
  • 2007Quarterly Time-Series Forecasting With Neural Networks158 cited
  • 1996Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data137 cited
  • 2006Forecasting exchange rates: A robust regression approach71 cited
  • 2002Neural Networks Approach to the Random Walk Dilemma of Financial Time Series61 cited
  • 1994The Econometric Modelling of Financial Time Series.43 cited

Cited by

  • 2015A hybrid model for high-frequency stock market forecasting52 cited
  • 2014Stock Prediction by Searching for Similarities in Candlestick Charts45 cited
  • 2022A hierarchical attention network for stock prediction based on attentive multi-view news learning

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40 cited