We propose a dynamic model of corporate disclosure in which managers’ information endowment is uncertain. We consider a realistic environment in which corporate disclosures are preceded by analyst’ consensus forecasts and followed by earnings announcements. We estimate the model using a comprehensive sample of annual management forecasts released by public U.S. companies between 2004 and 2014. ...

The news classification approach is the primary approach for the online news portals with the news data sourced from the various portals. The various types of data is received and accepted over the news classification portals. The lexicon analysis plays the key role in the categorization of the news automatically using the automatic news category recognition by analyzing the keyword data extrac...

The availability of databases of images labeled with keywords is necessary for developing and evaluating image annotation models. Dataset collection is however a costly and time consuming task. In this paper we exploit the vast resource of images available on the web. We create a database of pictures that are naturally embedded into news articles and propose to use their captions as a proxy for...

Previously, we proposed an approach for corporate decision making with self-organizing patent maps labeled by technical terms and AHP. First, we extracted keywords by text mining to transform patent documents into feature vectors of the companies. Second, we inputted the feature matrix of technical terms and company names into self-organizing maps to create patent maps labeled by the technical ...

We investigated the economic effects of newspaper reports of information security incidents on corporate values in the Japanese stock market. We found a different trend of effects in terms of reaction speed in the Japanese stock market compared with the US market. The reaction to news reports of the incidents is slower in the Japanese stock market than in the US market. We found statistically s...

In this paper, we investigate the performance and success rates of Naïve Bayes Classification Algorithm for automatic classification of Turkish news into predetermined categories like economy, life, health etc. We use Apache Big Data technologies such as Hadoop, HDFS, Spark and Mahout, and apply these distributed technologies to Machine Learning. Keywords—news classification, distributed machin...

Since a 1997 regulatory shift on the part of the US Food and Drug Administration (FDA), there has been an explosion of televised direct-to-consumer (DTC) pharmaceutical advertising in the United States. The introduction and growth of this form of advertising, as well as other recent evolutions in the health care arena, have altered relationships among key countervailing powers in the health car...

Since Great Britain’s return of Hong Kong’s sovereignty to the Chinese government in 1997, attention has been increasingly directed at the degree of market efficiency in the post-handover Hong Kong stock market. This study uses a sample of 542 corporate news announcements from January 1994 through December 2000 of Hong Kong and China-affiliated firms that are listed on the Stock Exchange of Hon...

Even democracies endowed with the most active free press struggle to maintain diversity of news coverage. Consolidation and market forces may cause only a few dominant players to control the news cycle. Editorial policies may be biased by corporate ownership relations, narrowing news coverage and focus. To an increasing degree this problem also applies to social media news distribution, since i...