This paper investigates the problem of identifying the strength of the incoming of news in the financial market. With the support of a microstructure model we are able to derive a simple formula that, based only on trade data, estimates the likelihood of having news for any given tradable asset in a particular time period. The formula can be easily implemented and takes just one input, the prob...

websites have been considered as one of the most important means of communication among different stakeholders. regarding this fact, the news websites have been taken into account as one of the most important types of websites since they provide the users with significant information providing capabilities and they also play a major role in creating and disseminating knowledge in the society. t...

Breaking news and events are often posted in the blogosphere before they are published by any media agency. Therefore, the blogosphere is a valuable resource for news-related blog analysis. However, it is crucial to first sort out newsunrelated content like personal diaries or advertising blogs. Besides, there are different levels of emotionality or involvement which bias the news information t...

The bad news principle states that only the expected severity of future bad news matters for the decision whether to invest today, good news should not matter at all. This paper tests this prediction using firm level expectation data.  2000 Elsevier Science S.A. All rights reserved.

This paper explores the booms and busts induced by news shocks in a model economy with financial market frictions. Firms can accumulate capital through either purchase of the existing capital or producing new capital by themselves. Firms need to borrow from financial intermediaries to finance their purchases of capital. With the presence of financial market frictions, firms have to pay an exter...

The effect of random news on the performance of adaptive agents as investors in stock market is modelled by genetic algorithm and measured by their portfolio values. The agents are defined by the rules evolved from a simple genetic algorithm, based on the rate of correct prediction on past data. The effects of random news are incorporated via a model of herd effect to characterize the human nat...