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Stock Market Forecasting Methods

TopicLeading institutions, researchers & key papers

Stock Market Forecasting Methods is a topic indexed in ScholarIQ from OpenAlex.

What is known about Stock Market Forecasting Methods?

ScholarIQrecord summary

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.

How many works does Stock Market Forecasting Methods have?

ScholarIQindexed works

Stock Market Forecasting Methods has 85,369 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Stock Market Forecasting Methods have?

ScholarIQcitation count

Stock Market Forecasting Methods has 524,910 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Stock Market Forecasting Methods?

ScholarIQopenalex

The OpenAlex for Stock Market Forecasting Methods is on the source record.

Who are the most-cited researchers behind Stock Market Forecasting Methods?

ScholarIQtop researchers by citations
1
Eugene F. Fama · Financial Markets and Investment Strategies
240 works260,639 citations
2
Andrei Shleifer · Corporate Finance and Governance
523 works232,732 citations
3
M. Hashem Pesaran · Monetary Policy and Economic Impact
800 works148,275 citations
4
Gary S. Becker · Gender, Labor, and Family Dynamics
342 works147,322 citations
5
Francisco Herrera · Fuzzy Logic and Control Systems
1,308 works139,335 citations

Where is Stock Market Forecasting Methods research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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