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Predicting Closed Price Time Series Data Using ARIMA Model
11 references·6 citing·36 second hop
Predicting Closed Price Time Series Data Using ARIMA Model (2018)Predicting Closed Price Time Series Data …A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX (2013)A hybrid model based on ANFIS…Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs) (2012)Hybridization of autoregressi…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export (2011)A comparison study between fu…Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Improvement of Auto-Regressiv…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Forecasting irish inflation using ARIMA models (1998)Forecasting irish inflation u…Short Term Forecasting: An Introduction to the Box-Jenkins Approach. (1984)Short Term Forecasting: An In…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Forecasting relative returns for S&P 500 stocks using machine learning (2024)Forecasting relative returns …Predicting stock market using natural language processing (2023)Predicting stock market using…The Co‐Movement between International and Emerging Stock Markets Using ANN and Stepwise Models: Evidence from Selected Indices (2022)The Co‐Movement between Inter…Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network (2022)Stock Price Forecasting by a …Stock Price Prediction Using ARIMA, Neural Network and LSTM Models (2021)Stock Price Prediction Using …A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting (2021)A comparison of the optimized…Time series forecasting using a hybrid ARIMA and neural network model (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting (2012)Machine Learning for Quantitative Finance Applications: A Survey (2019)Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Empirical exchange rate models of the seventies (1983)Performance evaluation of series and parallel strategies for financial time series forecasting (2017)Neural forecasting: Introduction and literature overview. (2020)S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA (2020)Time Series Analysis: Forecasting and Control. (1978)ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)Predicting short-term stock prices using ensemble methods and online data sources (2018)Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms (2019)Stock market prediction system with modular neural networks (1990)The Risk and Predictability of International Equity Returns (1993)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A novel model by evolving partially connected neural network for stock price trend forecasting (2011)A time series analysis-based stock price prediction using machine learning and deep learning models (2020)Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Time Series (2021)OWA-based ANFIS model for TAIEX forecasting (2012)PSO-based high order time invariant fuzzy time series method: Application to stock exchange data (2014)Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment (2018)ARIMA Model in Predicting Banking Stock Market Data (2018)Comparison of ARIMA, ANN and LSTM for Stock Price Prediction (2020)QuantumLeap: Hybrid quantum neural network for financial predictions (2022)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Forecasting construction industry demand, price and productivity in Singapore: the BoxJenkins approach (2000)Time series forecasts of the construction labour market in Hong Kong: the Box‐Jenkins approach (2005)Reliability of the Box–Jenkins model for forecasting construction demand covering times of economic austerity (2010)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
this work references cited by second hop

References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1971Time Series Analysis Forecasting and Control.6,714 cited
  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 2011Stock index forecasting based on a hybrid model377 cited
  • 2008Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)299 cited
  • 2010Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait148 cited
  • 1998Forecasting irish inflation using ARIMA models103 cited
  • 2012Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)100 cited
  • 1984Short Term Forecasting: An Introduction to the Box-Jenkins Approach.78 cited
  • 2013A hybrid model based on ANFIS and adaptive expectation genetic algorithm to forecast TAIEX75 cited
  • 2011A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export72 cited

Cited by

  • 2022Stock Price Forecasting by a Deep Convolutional Generative Adversarial Network61 cited
  • 2021A comparison of the optimized LSTM, XGBOOST and ARIMA in Time Series forecasting53 cited
  • 2024Forecasting relative returns for S&P 500 stocks using machine learning

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42 cited
  • 2021Stock Price Prediction Using ARIMA, Neural Network and LSTM Models41 cited
  • 2023Predicting stock market using natural language processing32 cited
  • 2022The Co‐Movement between International and Emerging Stock Markets Using ANN and Stepwise Models: Evidence from Selected Indices21 cited