# Stock Market Forecasting Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/stock-market-forecasting-methods-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 524,910 |
| Description | 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. |
| Domain | Social Sciences |
| Field | Decision Sciences |
| OpenAlex ID | https://openalex.org/T11326 |
| Works | 85,369 |

## Topic researchers

Showing 12 of 20.

- [Eugene F. Fama](https://scholariq.org/researchers/eugene-f-fama/)
- [Andrei Shleifer](https://scholariq.org/researchers/andrei-shleifer/)
- [M. Hashem Pesaran](https://scholariq.org/researchers/m-hashem-pesaran/)
- [Gary S. Becker](https://scholariq.org/researchers/gary-s-becker/)
- [Francisco Herrera](https://scholariq.org/researchers/francisco-herrera/)
- [Philip S. Yu](https://scholariq.org/researchers/philip-s-yu/)
- [Robert W. Vishny](https://scholariq.org/researchers/robert-w-vishny/)
- [Kenneth R. French](https://scholariq.org/researchers/kenneth-r-french/)
- [George E. P. Box](https://scholariq.org/researchers/george-e-p-box/)
- [Richard H. Thaler](https://scholariq.org/researchers/richard-h-thaler/)
- [Eric R. Ziegel](https://scholariq.org/researchers/eric-r-ziegel/)
- [Clive W. J. Granger](https://scholariq.org/researchers/clive-w-j-granger/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.