Researchers in finance have since long ago been attempting to quantify information, and assess its impact on financial markets. Recent advances in computational linguistics, natural language processing, machine learning and econometrics, along with improved data access to media articles, online discussions and social networks, have enabled researchers to apply such techniques in multiple fields of financial research. The applications include (but are not limited to): the effect of media columns and online discussions on stock prices, the relationship between media coverage and institutional trading, the effect of media during mergers and acquisitions (M&As), and initial public offerings (IPOs). The paper surveys a key part of the literature...
In this paper, I’m deriving a direct measure of investor sentiment from Daily Mail Online news artic...
This study investigates the reciprocal relationships between the fluctuation of the closing prices o...
Abstract — Mining textual documents and time series concurrently, such as predicting the movements o...
Researchers in finance have since long ago been attempting to quantify information, and assess its i...
Researchers in finance have since long ago been attempting to quantify information, and assess its i...
The paper presents the result of experiments that were designed with the goal of revealing the assoc...
Investors seeking quality information rely on market experts on financial news platforms such as Goo...
<p>In the world of the financial economics, we have abundant text data. Articles in the Wall Street ...
In this work we set out to determine the impact, if any, of the analysis of news on stock price pred...
This paper analyzes the impact of sentiment from headlines in the Wall Street Journal on earnings su...
This paper describes currently known methods of quantitative news interpretation applied in financia...
Financial articles can move stock prices. The terms used in an article can be a predictor of both p...
Using a common definition we can define news analysis as the measurement of the various qualitative...
peer-reviewedFinancial information is extremely valuable to investors and other interested parties. ...
The author uses quantitative media data generated by large-scale natural language processing (NLP) t...
In this paper, I’m deriving a direct measure of investor sentiment from Daily Mail Online news artic...
This study investigates the reciprocal relationships between the fluctuation of the closing prices o...
Abstract — Mining textual documents and time series concurrently, such as predicting the movements o...
Researchers in finance have since long ago been attempting to quantify information, and assess its i...
Researchers in finance have since long ago been attempting to quantify information, and assess its i...
The paper presents the result of experiments that were designed with the goal of revealing the assoc...
Investors seeking quality information rely on market experts on financial news platforms such as Goo...
<p>In the world of the financial economics, we have abundant text data. Articles in the Wall Street ...
In this work we set out to determine the impact, if any, of the analysis of news on stock price pred...
This paper analyzes the impact of sentiment from headlines in the Wall Street Journal on earnings su...
This paper describes currently known methods of quantitative news interpretation applied in financia...
Financial articles can move stock prices. The terms used in an article can be a predictor of both p...
Using a common definition we can define news analysis as the measurement of the various qualitative...
peer-reviewedFinancial information is extremely valuable to investors and other interested parties. ...
The author uses quantitative media data generated by large-scale natural language processing (NLP) t...
In this paper, I’m deriving a direct measure of investor sentiment from Daily Mail Online news artic...
This study investigates the reciprocal relationships between the fluctuation of the closing prices o...
Abstract — Mining textual documents and time series concurrently, such as predicting the movements o...