Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Fusion of multiple diverse predictors in stock market

16 references·8 citing·50 second hop

FromToDepth

this work references cited by second hop

References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
2013Forecasting Stock Returns634 cited
2005The use of data mining and neural networks for forecasting stock market returns465 cited
2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
2014Neural network ensemble operators for time series forecasting292 cited
2011A hybrid stock selection model using genetic algorithms and support vector regression243 cited
2006Stock market prediction with multiple classifiers239 cited
2006Forecasting the volatility of stock price index236 cited
2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data186 cited
2010Predicting stock returns by classifier ensembles169 cited
2007Application of wrapper approach and composite classifier to the stock trend prediction167 cited
2009Prediction of Stock Market Index Movement by Ten Data Mining Techniques

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

165 cited

2014A SVM Stock Selection Model within PCA106 cited

2014Developing an approach to evaluate stocks by forecasting effective features with data mining methods96 cited

Cited by

2021Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme83 cited
2020Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange74 cited
2020Predicting Stock Price Using Two-Stage Machine Learning Techniques53 cited
2022A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms49 cited
2022Evaluating the performance of ensemble classifiers in stock returns prediction using effective features46 cited
2022Decision Fusion for Stock Market Prediction: A Systematic Review43 cited
2023Incorporating stock prices and text for stock movement prediction based on information fusion40 cited
2024ADVANCED PREDICTIVE ANALYTICS FOR COMPREHENSIVE RISK ASSESSMENT IN FINANCIAL MARKETS: STRATEGIC APPLICATIONS AND SECTOR-WIDE IMPLICATIONS25 cited