Stock Market Forecasting Methods
Stock Market Forecasting Methods is a research topic within Management Science and Operations Research. Science Explorer counts 31k research works in it since 1953. 18.4% of them reached the world's top 10% most cited for their field and year.
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.
- Stock Market Prediction
- Time Series Forecasting
- Neural Networks
- Financial Time Series
- Deep Learning
- Support Vector Machines
- LSTM Networks
- Forecasting Models
- Sentiment Analysis
- Twitter Data
- Research works
- 31k fractional, since 1953
- In the world top 10%
- 5.6k per year above
- Top-10% rate
- 18.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +110% the tick is no change
Which countries lead Stock Market Forecasting Methods research?
By volume, China and India publish the most (2.8k and 2.2k works in 2022–2025).
By volume, 2022–2025
- 1 China 2.8k works
- 2 India 2.2k works
- 3 United States 1.2k works
- 4 Indonesia 682 works
- 5 United Kingdom 394 works
- 6 Türkiye 384 works
- 7 Malaysia 191 works
- 8 Iran 184 works
- 9 South Korea 179 works
- 10 Canada 177 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Stock Market Forecasting Methods research?
By volume in 2022–2025, Saveetha University publishes the most Stock Market Forecasting Methods research, followed by Binus University and SRM Institute of Science and Technology.
By volume, 2022–2025
- 1 Saveetha UniversityIndia 63 works
- 2 Binus UniversityIndonesia 59 works
- 3 SRM Institute of Science and TechnologyIndia 57 works
- 4 Vellore Institute of Technology UniversityIndia 53 works
- 5 Chandigarh UniversityIndia 52 works
- 6 Xi’an Jiaotong-Liverpool UniversityChina 47 works
- 7 Christ UniversityIndia 46 works
- 8 Southwestern University of Finance and EconomicsChina 45 works
- 9 Amrita Vishwa VidyapeethamIndia 45 works
- 10 Telkom UniversityIndonesia 44 works
Who are the leading researchers in Stock Market Forecasting Methods?
The most-cited researchers publishing on Stock Market Forecasting Methods include M. Hashem Pesaran, Robert F. Engle and Philip S. Yu.
- 1 M. Hashem Pesaran United States 9.1k citations
- 2 Robert F. Engle United States 8.7k citations
- 3 Philip S. Yu United States 6.6k citations
- 4 Witold Pedrycz Canada 5.4k citations
- 5 Clive W. J. Granger United States 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Stock Market Forecasting Methods research done?
The largest centres of Stock Market Forecasting Methods research in 2022–2025 are Beijing (China), Shanghai (China), Chennai (India) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Greater Noida.
Largest cities, 2022–2025
Where it is the local speciality
- Greater NoidaIN · 56.1 works7.8×
Location quotient: how much more of its research is in Stock Market Forecasting Methods than the world average.
Where is the best place to study Stock Market Forecasting Methods?
Among universities, judged by research, Xi’an Jiaotong-Liverpool University, Siksha O Anusandhan University and Giresun University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xi’an Jiaotong-Liverpool UniversityChina | 67.2 | 12.5% | 19.2× | 47 | +250.5% |
| 2 | Siksha O Anusandhan UniversityIndia | 63.5 | 30.9% | 9.8× | 23 | +196.9% |
| 3 | Giresun UniversityTürkiye | 63.0 | 39.7% | 11.3× | 16 | +294.5% |
| 4 | Amrita Vishwa VidyapeethamIndia | 58.4 | 22.0% | 7.3× | 44 | +177.8% |
| 5 | Shandong Institute of Business and TechnologyChina | 56.2 | 44.1% | 17.0× | 16 | — |
| 6 | Christ UniversityIndia | 55.4 | 14.4% | 11.4× | 46 | — |
| 7 | Symbiosis International UniversityIndia | 54.9 | 16.6% | 10.0× | 39 | — |
| 8 | Maulana Azad National Institute of TechnologyIndia | 54.3 | 22.6% | 9.3× | 15 | +328.6% |
| 9 | Vellore Institute of Technology UniversityIndia | 53.8 | 20.0% | 4.6× | 53 | +1630.0% |
| 10 | Southwestern University of Finance and EconomicsChina | 53.6 | 17.6% | 27.1× | 45 | -18.9% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Stock Market Forecasting Methods research growing?
Output in 2018–2022 was 110% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Stock Market Forecasting Methods.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.