Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

A novel hybrid stock selection method with stock prediction

12 references·14 citing·52 second hopsampled

FromToDepth

this work references cited by second hop· second hop is a sample of the most-cited connections

References

1994Comparing Predictive Accuracy5,578 cited
1995Comparing Predictive Accuracy5,370 cited
1990Evidence that stock prices do not fully reflect the implications of current earnings for future earnings2,010 cited
2008Surveying stock market forecasting techniques – Part II: Soft computing methods861 cited
2002The Statistics of Sharpe Ratios856 cited
2014News impact on stock price return via sentiment analysis506 cited
2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting471 cited
2011A hybrid stock selection model using genetic algorithms and support vector regression243 cited
2016Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market230 cited
2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
2014Empirical analysis: stock market prediction via extreme learning machine166 cited
1999Improving returns on stock investment through neural network selection143 cited

Cited by

2022Machine learning techniques and data for stock market forecasting: A literature review586 cited
2020Mean–variance portfolio optimization using machine learning-based stock price prediction

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

325 cited

2021Stock-Price Forecasting Based on XGBoost and LSTM100 cited

2019Stock Market Prediction Using Machine Learning(ML)Algorithms93 cited

2021A stock selection algorithm hybridizing grey wolf optimizer and support vector regression71 cited

2023Quantitative stock portfolio optimization by multi-task learning risk and return69 cited

2023A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer62 cited

2021Hybrid evolutionary intelligent system and hybrid time series econometric model for stock price forecasting44 cited

2022A novel hybrid simplified group BWM and multi-criteria sorting approach for stock portfolio selection43 cited

2022A comprehensive decision support system for stock investment decisions28 cited

2022An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction27 cited

2022A portfolio construction model based on sector analysis using Dempster-Shafer evidence theory and Granger causal network: An application to National stock exchange of India27 cited

2021Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting25 cited

2023A time-varying stock portfolio selection model based on optimized PSO-BiLSTM and multi-objective mathematical programming under budget constraints25 cited