Empirical Analysis of Factors Influencing China's Stock Market

2010 ◽  
Author(s):  
Ling Feng ◽  
Shufen Tu
Keyword(s):  
Stock Market ◽  
Empirical Analysis ◽  
Factors Influencing

Stock Market Prediction using Data Mining Techniques

2020 ◽  
pp. 310-313
Author(s):  
Karunesh Makker ◽  
Prince Patel ◽  
Hrishikesh Roy ◽  
Sonali Borse
Keyword(s):  
Neural Network ◽  
Stock Market ◽  
Prediction Model ◽  
Efficient Market Hypothesis ◽  
Deterministic System ◽  
Vast Number ◽  
Factors Influencing ◽  
Number Of Factors ◽  
Using Data ◽  
Robust Prediction

Stock market is a very volatile in-deterministic system with vast number of factors influencing the direction of trend on varying scales and multiple layers. Efficient Market Hypothesis (EMH) states that the market is unbeatable. This makes predicting the uptrend or downtrend a very challenging task. This research aims to combine multiple existing techniques into a much more robust prediction model which can handle various scenarios in which investment can be beneficial. Existing techniques like sentiment analysis or neural network techniques can be too narrow in their approach and can lead to erroneous outcomes for varying scenarios. By combing both techniques, this prediction model can provide more accurate and flexible recommendations. Embedding Technical indicators will guide the investor to minimize the risk and reap better returns.

Stock Market and Economic Growth: An Empirical Analysis for Nigeria

2018 ◽  
Author(s):  
Uju Akpunonu ◽  
Uju Sussan Muogbo, ◽  
EthelMary O Dim
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Empirical Analysis

Empirical analysis: stock market prediction via extreme learning machine

2014 ◽  
Vol 27 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Xiaodong Li ◽  
Haoran Xie ◽  
Ran Wang ◽  
Yi Cai ◽  
Jingjing Cao ◽  
...  
Keyword(s):  
Stock Market ◽  
Extreme Learning Machine ◽  
Empirical Analysis ◽  
Stock Market Prediction ◽  
Learning Machine
Sign in / Sign up

Export Citation Format

Share Document