Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

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

Backpropagation and recurrent neural networks in financial analysis of multiple stock market returns

4 references·12 citing·49 second hop

FromToDepth

this work references cited by second hop

References

1960The financial analysts journal1,043 cited
1991Time series forecasting using neural networks vs. Box- Jenkins methodology407 cited
1994Stock performance modeling using neural networks: A comparative study with regression models319 cited
1994Time series forecasting using neural networks178 cited

Cited by

2014A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction80 cited
2014Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China77 cited
2020A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS66 cited
2018Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data54 cited
2020Machine Learning in P&C Insurance: A Review for Pricing and Reserving52 cited
2016Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models49 cited
2020The Butterfly “Affect”: impact of development practices on cryptocurrency prices46 cited
2021A Hybrid Approach of Bayesian Structural Time Series With LSTM to Identify the Influence of News Sentiment on Short-Term Forecasting of Stock Price44 cited
2021A Multilayer Feedforward Perceptron Model in Neural Networks for Predicting Stock Market Short-term Trends

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

40 cited

2012Accuracy Driven Artificial Neural Networks in Stock Market Prediction40 cited

2020Energy market prediction with novel long short-term memory network: Case study of energy futures index volatility31 cited

2020An Integrated LSTM Neural Networks Approach to Sustainable Balanced Scorecard-Based Early Warning System28 cited