We empirically investigate temporal and cross correlations in the frequency of news reports on companies, using a unique dataset with more than 100 million news articles reported in English by around 500 press agencies worldwide for the period 2003-2009. We find, first, that the frequency of news reports on a company does not follow a Poisson process; instead, it exhibits long memory with a positive autocorrelation for more than one year. Second, we find that there exist significant correlations in the frequency of news across companies. On a daily or longer time scale, the frequency of news is governed by external dynamics, while it is governed by internal dynamics on a time scale of minutes. These two findings indicate that the frequency ...
An increasing number of market participants utilise news analytics software to comprehend the large ...
This thesis focuses on the field of financial forecasting. Most studies that use the financial news ...
This thesis contributes to the growing literature on the textual analysis of news and the cross-sec...
We empirically investigated temporal and cross correlations in the frequency of news reports on comp...
In this paper we study the interactions between how companies are mentioned in news, their presence ...
The views of the Wikipedia pages of companies listed in the Dow Jones Industrial Average (DJIA) were...
This study investigates the interdependent relationships between the stock market and economic news ...
In this paper, we examine the potential correlation between news and the stock market. Our goal is t...
In this paper, we construct a sample of news co-occurrences using big data technologies. We show tha...
This article describes a novel framework for the detection of causal links between financial news an...
The efficient market hypothesis states that an efficient market immediately incorporates all availab...
Using a database of news articles from Thomson Reuters for 2003-2008, we inves-tigate how the arriva...
A stream of unstructured news can be a valuable source of hidden relations between different entitie...
This study investigates the interdependent relationships between the stock market and economic news ...
Recent literature suggests that news shocks could be an important driver of economic cycles. In this...
An increasing number of market participants utilise news analytics software to comprehend the large ...
This thesis focuses on the field of financial forecasting. Most studies that use the financial news ...
This thesis contributes to the growing literature on the textual analysis of news and the cross-sec...
We empirically investigated temporal and cross correlations in the frequency of news reports on comp...
In this paper we study the interactions between how companies are mentioned in news, their presence ...
The views of the Wikipedia pages of companies listed in the Dow Jones Industrial Average (DJIA) were...
This study investigates the interdependent relationships between the stock market and economic news ...
In this paper, we examine the potential correlation between news and the stock market. Our goal is t...
In this paper, we construct a sample of news co-occurrences using big data technologies. We show tha...
This article describes a novel framework for the detection of causal links between financial news an...
The efficient market hypothesis states that an efficient market immediately incorporates all availab...
Using a database of news articles from Thomson Reuters for 2003-2008, we inves-tigate how the arriva...
A stream of unstructured news can be a valuable source of hidden relations between different entitie...
This study investigates the interdependent relationships between the stock market and economic news ...
Recent literature suggests that news shocks could be an important driver of economic cycles. In this...
An increasing number of market participants utilise news analytics software to comprehend the large ...
This thesis focuses on the field of financial forecasting. Most studies that use the financial news ...
This thesis contributes to the growing literature on the textual analysis of news and the cross-sec...