Analysis of Financial Markets' Fluctuation by Textual Information

The Predicting Power of Textual Information on Financial Markets

Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic in data mining community. Previous researches have shown that there is a strong relationship between the time when the news stories are released and the time when the stock prices fluctuate. In this paper, we propose a systematic...

The Predicting Power of Textual Information on Financial Markets

Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic in data mining community. Previous researches have shown that there is a strong relationship between the time when the news stories are released and the time when the stock prices fluctuate. In this paper, we propose a systematic...

Markets for Financial Information

Information Dispersion in Financial Markets

Public disclosures can level information asymmetry in financial markets by removing informed traders’ advantage, or can exacerbate asymmetry by further increasing these traders’ knowledge of the firm. This study finds evidence of the latter phenomenon in earnings conference calls, where management releases new information, and financial analysts on the call immediately respond and question mana...

Financial Markets Analysis by Probabilistic Fuzzy Modelling

For successful trading in financial markets, it is important to develop financial models where one can identify different states of the market for modifying one’s actions. In this paper, we propose to use probabilistic fuzzy systems for this purpose. We concentrate on Takagi–Sugeno (TS) probabilistic fuzzy systems that combine interpretability of fuzzy systems with the statistical properties of...