Stock Market Prediction Using Data Mining Techniques

2019 ◽  
Author(s):  
Archana Gupta ◽  
Pranay Bhatia ◽  
Kashyap Dave ◽  
Pritesh Jain
Keyword(s):  
Data Mining ◽  
Stock Market ◽  
Stock Market Prediction ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Using Data Mining Technique to Measure the Impact of COVID-19: 1st Wave on the Stock Market of Top Fifteen Affected Countries

2021 ◽  
Vol 5 (2) ◽  
pp. 13-19
Author(s):  
Zubair Akbar
Keyword(s):  
Data Mining ◽  
Stock Market ◽  
Critical Analysis ◽  
Data Mining Technique ◽  
Just Cause ◽  
Mining Technique ◽  
The World ◽  
Using Data ◽  
The Impact ◽  
Social Sectors

The pandemic of Covid-19 which started in the year 2019 did not just cause an effect on the living of millions of people but in the economic and social sectors of every part of the world as well. It is a challenging task to determine the interrelation between COVID-19 cases concerning the economy in the top affected countries. This paper explores; how severe Impact of COVID-19 1st wave on the economic facets of Pakistan as compared to the Top Fifteen affected countries. Moreover, this paper uses COVID-19 well-known dataset provided by John Hopkins and Stock Market Datasets collectively to carry out the critical analysis successfully. We found a relationship between the cumulative numbers of confirmed cases in each country with a declining state of countries' economies: the higher decline in the stock market indicates a higher number of confirmed cases.

A Review on Applied Data Mining Techniques to Stock Market Prediction

2013 ◽  
pp. 108-126
Author(s):  
Neslihan Fidan ◽  
Beyza Ahlatcioglu Ozkok
Keyword(s):  
Data Mining ◽  
Stock Market ◽  
New Technologies ◽  
Point Of View ◽  
Stock Market Index ◽  
Data Mining Techniques ◽  
Market Index ◽  
Predictive Data Mining ◽  
Using Data ◽  
Analysis Point

A portfolio manager considers forecasting the asset prices and measurement of the market risk of an underlying asset. Financial institutions produce datasets to handle their problems by using data mining tools. Recently new technologies have been developed for tracking, collecting, and processing financial data. From a data analysis point of view, this chapter reviews the published articles based upon predictive data mining applications to stock market index. It is observed that hybrid models that combine data mining techniques or integrate an algorithm to a method work efficiently. Finally, the chapter provides likely directions of future researches.

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