Stock Market Forecasting Techniques: A Survey

By Saarika Sharma, Meenal Chouhan, Gian Jyoti. 2014

90 citations recorded by the source corpus.

Subfields: Economics & Operations Research, Time-Series & Forecasting

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics & Operations Research

1. A. Ozbayoglu
2. M. Ugur Gudelek
3. Omer Berat Sezer

In Time-Series & Forecasting

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Weiwei Jiang
5. Longbing Cao

Citations in the corpus

• Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, background): “A number of surveys were published for stock market forecasting studies based on various soft computing methods at different times [24, 25, 26, 27, 28, 29, 30, 31].”
• Temporal Relational Ranking for Stock Prediction (2018, background): “Stock prediction, which aims to predict the future trend and price of stocks, is one of the most popular techniques to make a profitable stock investment [36], although there are still debates about whether the stock market is predictable (a.”