The volatility of stock market indicators goes beyond anyone’s reasonable explanations. Industry performance, economic, and political changes are among the major factors that can affect the stock market. This paper focuses on the effect of news that surfaces throughout the day in the stock market. While there are many influences behind the constant changes in stock market performance, we can st...

Stock markets strive to provide an efficient trading platform for investors. Trading rules and mechanisms issued to accomplish this differ among stock markets, and are subject to modification over time. Furthermore, market participants assume a broad range of roles and trading strategies. Such variation poses problems to those involved in the study of market dynamics, when developing an artific...

Using a new dataset which contains monthly data on 1,015 stocks traded on the London Stock Exchange between 1825 and 1870, we investigate the cross section of stock returns in this early capital market. Unique features of this market allow us to evaluate the veracity of several popular explanations of asset pricing behavior. Using portfolio analysis and Fama-MacBeth regressions, we find that st...

Is the concept of stock market speculations, related with the news in the news papers? This study mainly focus on the correlation between economy news from one of the highest circulation rate news paper in Turkey and Istanbul stock market closing values. Data set is collected from the web page of news paper in natural language and text mining technique, term frequency – inverse document frequen...

We analyze the relations between the stock market and a stock bulletin board system (BBS) in Japan. Previous studies in the USA found that the characteristics of messages posted on stock BBSs can predict market volatility and trading volume. We develop hypotheses based on the results of those analyses and apply statistical analysis to the data about companies mentioned in a large number of mess...

To counter strong features of disorder and randomness of stock market fluctuation in China, we introduce a Markov process model for the stock market trend forecasting, which is a useful complement for an existing technical analysis. Meanwhile, we expound on the related properties of Markov process and establish Markov chain mathematical model of the stock market trend forecasting, furthermore, ...