Indicators of government activity must be carefully designed to be relevant, credible and accountable. Frustration with reform pressures suggests that measures of policy activity are not providing accurate information. In fact, indicators of product or labour market regulation fail to measure...

In this paper we will propose a model and needed steps that one should undertake in order to try and predict potential stock price fluctuation solely based on financial news from relevant sources. The paper will start with providing background information on the problem and text mining in...

Deceptive communication or behavior can inflict loss, so it may be important to be able to distinguish these from trustworthy ones. Repeated exposure or experience can cause learning and hence better detection of deception. We investigate whether experience improves deception detection by...

Deceptive communication or behavior can inflict loss, making it important to be able to distinguish these from trustworthy ones. This article pursues the hypothesis that repeated exposure or experience can cause learning and hence better detection of deception. We investigate using data from a...

Using data on 65,000 stocks from 23 countries, the authors re-evaluate the performance of the Fama-French (2015) factors in global markets. The results provide convincing evidence that the value, profitability, and investment factors are far less reliable than commonly thought. Their performance...

Tropical forests are essential for climate change mitigation. As awareness grows over the use of credits from reduced emissions from deforestation and forest degradation (REDD+) and other nature-based climate solutions within both voluntary and compliance carbon markets, key concerns about the...

For decades, information related to public finances was out of reach for most of the people. Gradually, public budgets and tenders are becoming openly available and global initiatives promote fiscal transparency and open product and price data. But, the poor quality of economic open data...

We develop an innovative deep neural network (DNN) supervised learning approach to extracting insightful topic sentiments from analyst reports at the sentence level and incorporating this qualitative knowledge in asset pricing and portfolio construction. The topic sentiment analysis is performed...

If we model microeconomic systems in terms of their information processing characteristics, we may find it useful to compare our models to those produced by the discipline devoted to the study of information processing. Computer science, and in particular its sub-field of software engineering,...

Searching information in the web, is a common feature and the most easy way to get oneself exposed to a see of knowledge. The simplicity and economic way of getting information in the web made it widely acceptable amongst the citizens including the researchers. However, all the information...