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Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network
5 references·5 citing·41 second hop
Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network (2018)Application and analysis of forecasting s…Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)Application of artificial neu…Recurrent neural network and a hybrid model for prediction of stock returns (2014)Recurrent neural network and …Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…An empirical methodology for developing stockmarket trading systems using artificial neural networks (2008)An empirical methodology for …Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…A Black Swan event-based hybrid model for Indian stock markets’ trends prediction (2022)A Black Swan event-based hybr…Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model (2021)Research on GDP Forecast Anal…Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model (2021)Profitability Analysis in Sto…Discovery and Prediction of Stock Index Pattern via Three-Stage Architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs (2020)Discovery and Prediction of S…Stock Price Prediction Using Machine Learning Techniques (2019)Stock Price Prediction Using …Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Financial time series forecasting model based on CEEMDAN and LSTM (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)The Behavior of Stock-Market Prices (1965)The relationship between return and market value of common stocks (1981)The Cross-Section of Expected Stock Returns (1992)Utilizing artificial neural networks and genetic algorithms to build an algo-trading model for intra-day foreign exchange speculation (2013)An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)A survey on machine learning models for financial time series forecasting (2022)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Evolutionary games on multilayer networks: a colloquium (2015)Evolutionary games on multilayer networks: a colloquium (2015)Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Financial applications of machine learning: A literature review (2023)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Tests of Conditional Predictive Ability (2006)Forecast comparisons in unstable environments (2010)Twitter mood predicts the stock market (2011)Forecasting daily stock market return using dimensionality reduction (2016)Introductory Chapter: Machine Learning in Finance-Emerging Trends and Challenges (2021)Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Forecasting Horticultural Products Price Using ARIMA Model and Neural Network Based on a Large-Scale Data Set Collected by Web Crawler (2019)Stock price forecasting based on LLE-BP neural network model (2020)A network traffic forecasting method based on SA optimized ARIMA–BP neural network (2021)Stock Price Prediction Using the ARIMA Model (2014)Deep learning with long short-term memory networks for financial market predictions (2017)Profit prediction optimization using financial accounting information system by optimized DLSTM (2023)Forecasting exchange rates using general regression neural networks (2000)Multiple classifier application to credit risk assessment (2009)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)
this work references cited by second hop

References

  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2014Recurrent neural network and a hybrid model for prediction of stock returns506 cited
  • 2016Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market230 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 2008An empirical methodology for developing stockmarket trading systems using artificial neural networks147 cited

Cited by

  • 2022A Black Swan event-based hybrid model for Indian stock markets’ trends prediction42 cited
  • 2021Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model36 cited
  • 2019Stock Price Prediction Using Machine Learning Techniques33 cited
  • 2020Discovery and Prediction of Stock Index Pattern via Three-Stage Architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs32 cited
  • 2021Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model30 cited

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