SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction
8 references·10 citing·49 second hop
A Decision tree- Rough set Hybrid System for Stock Market Trend Prediction (2010)A Decision tree- Rough set Hybrid System …Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets (2008)Fuzzy time series model based…A neural network with a case based dynamic window for stock trading prediction (2008)A neural network with a case …A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)A hybrid model for stock mark…An effective application of decision tree to stock trading (2005)An effective application of d…Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparative study of stock tr…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Hidden Markov guided Deep Lea…Series decomposition Transformer with period-correlation for stock market index prediction (2023)Series decomposition Transfor…Prediction of Trends in Stock Market using Moving Averages and Machine Learning (2021)Prediction of Trends in Stock…Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction (2020)Training Multilayer Perceptro…An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction (2019)An integrated TOPSIS crow sea…Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)Integrating principle compone…High-order Hidden Markov Model for trend prediction in financial time series (2018)High-order Hidden Markov Mode…A comparative study on trend forecasting approach for stock price time series (2017)A comparative study on trend …Financial time series forecasting using rough sets with time-weighted rule voting (2016)Financial time series forecas…A stock market portfolio recommender system based on association rule mining (2012)A stock market portfolio reco…Filter Rules and Stock-Market Trading (1966)Stock Returns, Real Activity, Inflation, and Money (1981)Fundamental Information Analysis (1993)Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees (2007)Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators (2018)Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme (2021)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Generalized autoregressive conditional heteroskedasticity (1986)Common risk factors in the returns on stocks and bonds (1993)Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes (2011)The Econometrics of Financial Markets (2012)A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter (2014)An adaptive stock index trading decision support system (2016)Forecasting enrollments with fuzzy time series — Part I (1993)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Fuzzy sets (1996)Revenue forecasting using a least-squares support vector regression model in a fuzzy environment (2011)A brief review of modeling approaches based on fuzzy time series (2015)An intelligent pattern recognition model for supporting investment decisions in stock market (2016)The use of data mining and neural networks for forecasting stock market returns (2005)Stock market prediction using Hidden Markov Models (2012)Analyzing Technological Spillover Effects Between Technology Classes: the Case of Korea Technology Finance Corporation (2018)Stock prediction and mutual fund portfolio management using curve fitting techniques (2021)Big Data and Artificial Intelligence in Digital Finance (2022)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Introduction to Grey system theory (1989)Hybrid Approaches and Dimensionality Reduction for Portfolio Selection with Cardinality Constraints (2010)An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK (2013)An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection (2023)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Behavior of Stock-Market Prices (1965)The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! The challenges and opportunities of Social Media (2009)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Designing a neural network for forecasting financial and economic time series (1996)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting daily stock market return using dimensionality reduction (2016)Deep learning for financial applications : A survey (2020)The Sharpe Ratio (1994)Stock market's price movement prediction with LSTM neural networks (2017)A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)
this work references cited by second hop

References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
  • 2008A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories163 cited
  • 2008A neural network with a case based dynamic window for stock trading prediction160 cited
  • 2005An effective application of decision tree to stock trading126 cited
  • 2008Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets109 cited

Cited by

  • 2012A stock market portfolio recommender system based on association rule mining92 cited
  • 2018High-order Hidden Markov Model for trend prediction in financial time series87 cited
  • 2020Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction82 cited
  • 2018Integrating principle component analysis and weighted support vector machine for stock trading signals prediction80 cited
  • 2019An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

68 cited
  • 2023Series decomposition Transformer with period-correlation for stock market index prediction68 cited
  • 2024Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices57 cited
  • 2017A comparative study on trend forecasting approach for stock price time series43 cited
  • 2016Financial time series forecasting using rough sets with time-weighted rule voting42 cited
  • 2021Prediction of Trends in Stock Market using Moving Averages and Machine Learning39 cited