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Social Sciences → Decision Sciences → Management Science and Operations Research

Stock Market Forecasting Methods

This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.

83.4K works worldwide518.3K citations
Stock Market PredictionTime Series ForecastingNeural NetworksFinancial Time SeriesDeep LearningSupport Vector MachinesLSTM NetworksForecasting ModelsSentiment AnalysisTwitter Data

Journals publishing in this area

1International Journal of Statistics and Applied Mathematics cover
International Journal of Statistics and Applied Mathematics
ISSN 2456-145236 articles in this topic
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Articles on Scinovex in this research area

58 articles, most cited first · page 2 of 2

  1. Arima model in forecasting share prices
    International Journal of Statistics and Applied Mathematics · 2020 · 0 citations · AI summary
  2. Forecasting of Lahi production through fuzzy time invariant series models
    International Journal of Statistics and Applied Mathematics · 2020 · 0 citations · AI summary
  3. Time series analysis of Nandi county government revenue using seasonal autoregressive integrated moving average (SARIMA) model
    International Journal of Statistics and Applied Mathematics · 2020 · 0 citations · AI summary
  4. Application of time series modelling in price forecasting of agricultural commodities
    International Journal of Agriculture and Food Science · 2019 · 0 citations · AI summary
  5. Data mining techniques in forecasting methods
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  6. Analytical study on financial investor on investment decision making
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  7. A multivariate generalized arch model for time series analysis
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  8. Bayesian analysis of dynamic correlation -multivariate stochastic volatility (DC-MSV) model
    International Journal of Statistics and Applied Mathematics · 2017 · 0 citations · AI summary