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Predicting the Effects of News Sentiments on the Stock Market [article]

Dev Shah, Haruna Isah, Farhana Zulkernine
2018 arXiv   pre-print
for gauging the effects of news sentiments on stocks for the pharmaceutical market.  ...  In this paper, we retrieved, extracted, and analyzed the effects of news sentiments on the stock market.  ...  This study is a niche application of sentiment analysis in gauging the effects of news sentiments on stocks for the pharmaceutical market sector.  ... 
arXiv:1812.04199v1 fatcat:mh4gwuudrfgt7olpyxft7oogyy

Recent Advances in Stock Market Prediction Using Text Mining: A Survey [chapter]

Faten Subhi Alzazah, Xiaochun Cheng
2020 E-Business [Working Title]  
(DL) methods used for sentiment analysis to find which method could be more effective in prediction and for which types and amount of data.  ...  Technical analysis focuses on analyzing the direction of prices to predict future prices, while fundamental analysis depends on analyzing unstructured textual information like financial news and earning  ...  The model combines the two inputs in an ensemble tree to categorize the effect of financial media news on stock market fluctuation.  ... 
doi:10.5772/intechopen.92253 fatcat:ptioootolbg4fb5kzuovz2af5m

Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori
2020 Applied Computer Systems  
Using web news, financial tweets posted on Twitter, Google trends and forum discussions, the current study examines the association between public sentiments and the predictability of future stock price  ...  Therefore, based on the study outcome, we advised that stock market investors could utilise the information from web financial news, tweet, forum discussion, and Google trends to effectively perceive the  ...  The study found a substantial effect of news sentiment tone on both the volatility and the mean of stock returns.  ... 
doi:10.2478/acss-2020-0004 fatcat:35sdcrq3djanrijglwzajthrvy

A Systematic Study on Sentiment Analysis based on Text Mining and Deep learning for Predictions in Stock Market Trends Through Social and News Media Data

Suvigya Jain
2021 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Stock Market has always been one of the most active fields of research, many companies and organizations have focused their research in trying to find better ways to predict market trends.  ...  Our goal in this paper is to study the influence of news media and social media on market trends using sentiment analysis.  ...  trading on the US stock market to study the effect of news media on stock market.  ... 
doi:10.22214/ijraset.2021.38662 fatcat:o6x6sl6pffgifcfidra44zajrm

A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction

Mohammad Kamel Daradkeh
2022 Electronics  
news events and sentiment trends with quantitative financial data on predicting stock trends.  ...  Nevertheless, predicting stock trends remains extremely difficult due to a variety of influencing factors, volatile market news, and sentiments.  ...  Data Availability Statement: Please refer to https://www.dfm.ae/market-data (accessed on 20 December 2021). Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/electronics11020250 fatcat:mshbaquu3fcftpoaphojl6cu4m

Predicting Stock Market Behavior using Data Mining Technique and News Sentiment Analysis

Ayman E. Khedr, S.E.Salama, Nagwa Yaseen
2017 International Journal of Intelligent Systems and Applications  
This prediction model is based on sentiment analysis of financial news and historical stock market prices.  ...  This study aims at constructing an effective model to predict stock market future trends with small error ratio and improve the accuracy of prediction.  ...  Our methodology is an effective way to improve the prediction accuracy of the stock market behavior based on sentiment analysis and historical numeric values.  ... 
doi:10.5815/ijisa.2017.07.03 fatcat:nbgvfcsaffedfa5w2mzllm7iee

Sentiment Analysis for Effective Stock Market Prediction

Shri Bharathi, Angelina Geetha
2017 International Journal of Intelligent Engineering and Systems  
Our claim is that the sentiment analysis of RSS news feeds has an impact on stock market values.  ...  The Stock market forecasters focus on developing a successful approach to predict stock prices.  ...  Figure. 1 1 Example of RSS News feed Figure. 2 2 System for Sentiment Analysis of effective Stock market Prediction using RSS News feed. + ) = Set of Positive Sentiment words.  ... 
doi:10.22266/ijies2017.0630.16 fatcat:6in74moiq5dgji6427pz3gvbpy

Predicting Stock Market Returns and Volatility with Investor Sentiment: Evidence from Eight Developed Countries

Jerry C. Ho, Chi-Hsiou Daniel Hung
2012 Social Science Research Network  
This is because shifts in sentiment may exert significant impacts on conditional volatility, and such effects may affect subsequent stock market returns via the riskreturn relation.  ...  We test the predictive ability of investor sentiment on the return and volatility at the aggregate market level in the U.S., four largest European countries and three Asia-Pacific countries.  ...  By contrast, consumer confidence shows no effect on either their market returns or volatilities in the stock markets of Australia and New Zealand.  ... 
doi:10.2139/ssrn.2279339 fatcat:wnyyqkx7vjdcplvgivmlilhioa

Predictive Analysis of Stock Price by Machine Learning and Online Investors' Sentiment

2022 Journal of Global Economy, Business and Finance  
Investors' sentiment has a positive impact on the prediction of China's stock price. The addition of sentiment index can make the prediction effect better.  ...  The BP neural network model has high prediction accuracy and can effectively predict the average price of the Shanghai Stock Exchange.  ...  At the same time, with the rise of machine learning, it has become a new idea to extract sentiment from the network and use this method to study its impact on stock price prediction.  ... 
doi:10.53469/jgebf.2022.04(04).12 fatcat:wjpqo6mf5vei7bhel2wxytwcnu

A New sentiment score based improved Bayesian networks for real-time intraday stock trend classification

Lakshmana Phaneendra Maguluri, Annamalai University, Annamalainagar, Tamil Nadu
2019 International Journal of Advanced Trends in Computer Science and Engineering  
However, most of the traditional sentiment analysis approaches are not directly predicting the sentiment score and its trend on the online stock market sites due to data sparsity and uncertainty problems  ...  Finally, an improved Bayesian networks technique is implemented on the filtered data to predict and test the trend of the stock on the filtered data.  ...  This model predicts the sentiment of the market based on the stock review data. S.  ... 
doi:10.30534/ijatcse/2019/10842019 fatcat:domzdxjiercexnseik3tg2nmtu

Prediction Models for Indian Stock Market

Aparna Nayak, M. M. Manohara Pai, Radhika M. Pai
2016 Procedia Computer Science  
As part of the daily prediction model, historical prices are combined with sentiments. Up to 70% of accuracy is observed using supervised machine learning algorithms on daily prediction model.  ...  Stock market is a complex and challenging system where people will either gain money or lose their entire life savings. In this work, an attempt is made for prediction of stock market trend.  ...  Extracted sentiments later will be integrated with historic price to build prediction model. Conflicting opinions has been reported by researchers about effect of sentiment on stock market.  ... 
doi:10.1016/j.procs.2016.06.096 fatcat:3ybpum6rtzbcrmzdwfonswe7wa

Using News to Predict Investor Sentiment: Based on SVM Model

Diya Wang, Yixi Zhao
2020 Procedia Computer Science  
Our model can achieve high accuracy, which is helpful for guiding the prediction of investor sentiment in the stock market and making correct decisions.  ...  Our model can achieve high accuracy, which is helpful for guiding the prediction of investor sentiment in the stock market and making correct decisions.  ...  Acknowledgements The completion of the thesis is attributed to many people's support and encouragement.  ... 
doi:10.1016/j.procs.2020.06.074 fatcat:4bs3sawqwbeztciw2hqx55lbhq

The effect of news and public mood on stock movements

Qing Li, TieJun Wang, Ping Li, Ling Liu, Qixu Gong, Yuanzhu Chen
2014 Information Sciences  
An effective methodology to quantitatively analyze the mechanism of information percolation and its degree of impact on stock markets has yet to be explored.  ...  Meanwhile, the adaption of user engagement in media effectively magnifies the information in the news.  ...  A unique contribution of this work is unveiling the black box of the internal functions of sentiments, firm characteristics, and news content on the relationship of Web media and stock markets.  ... 
doi:10.1016/j.ins.2014.03.096 fatcat:qzsn5r2jrvhfdhlm23uz4fsxw4

An Extreme Firm-Specific News Sentiment Asymmetry Based Trading Strategy

Qiang Song, Anqi Liu, Steve Y. Yang, Anil Deane, Kaushik Datta
2015 2015 IEEE Symposium Series on Computational Intelligence  
The intuition behind this approach is that the impact of events that generate extreme investor sentiment changes tends to have long and lasting effects to market movement and hence provides better prediction  ...  News sentiment has been empirically observed to have impact on financial market returns.  ...  Through lead-lag analysis, the news sentiment is also shown to lead the market return, but market return has no effect on the future news sentiment.  ... 
doi:10.1109/ssci.2015.132 dblp:conf/ssci/SongLYDD15 fatcat:zjaixfwcxbetlim7so2aqfav3e

An Extreme Firm-Specific News Sentiment Asymmetry Based Trading Strategy

Qiang Song, Anqi Liu, Steve Y. Yang, Anil Deane, Kaushik Datta
2015 Social Science Research Network  
The intuition behind this approach is that the impact of events that generate extreme investor sentiment changes tends to have long and lasting effects to market movement and hence provides better prediction  ...  News sentiment has been empirically observed to have impact on financial market returns.  ...  Through lead-lag analysis, the news sentiment is also shown to lead the market return, but market return has no effect on the future news sentiment.  ... 
doi:10.2139/ssrn.2631135 fatcat:ttad5ltreva43ig7b4a2jnlf64
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