This study is the first to investigate the renowned stock message board effect by controlling for both firm effects and board effects. Presently it is the most comprehensive study on how online stock discussion forums affect stock performance. More specifically, firm effects include firm size, earning growth rate, and media coverage intensity. Board effects include sentiment, number of messages...

In this report, we present an automatic stock trading process, which relies on a hierarchy of a feature selecting method, multiple machine-learning algorithms as well as an online learning mechanism. Backward search was used in feature selection, while the local linear regression (LLR), l − 1 regularized ν-support vector machine (ν-SVM), and the multiple additive regression tree (MART), were ch...

We present a universal algorithm for online trading in Stock Market which performs asymptotically at least as good as any stationary trading strategy that computes the investment at each step using a fixed function of the side information that belongs to a given RKHS (Reproducing Kernel Hilbert Space). Using a universal kernel, we extend this result for any continuous stationary strategy. In th...

Noise traders as one of the key elements of the market play a significant role in determining the market volatilities, returns, and stock market mispricing. Hence, this study attempts to scrutinize the role of noise trading in capital asset pricing. Therefore, by using daily data, samples including 14105 data of 200 companies listed on stock exchange were selected and noise trading index was es...

Globalization and recent advancement in the deployment of Internet and related technologies, have significantly transformed all sectors of the modern economy. For instance, electronic service has enabled the application of Internet platform in stock trading, thereby empowering individuals across diverse location to engage in trading activities. As established by extant theories on technology ac...

nologies, particularly the Internet, have profoundly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. According to Jupiter Communications, the $415 billion online brokerage assets in 1998 will grow by more than sevenfold to $3 trillion in 2003 [4]. Investors Combining new technology with established financial mar...

Using a novel proxy of investors’ speculative demand constructed from online search interest in “concept stocks”, we examine how speculative demand affects the returns and trading volume of Chinese stock indices. We find that returns and trading volume increase with the contemporaneous speculative demand. In addition, the high speculative demand causes lower near future returns, while recent hi...

The scope of this chapter is to investigate the critical factors for the success of stock brokerage processes via the Web, using financial portals on the Brazilian Internet, from the perspective of the investor. The framework of the online stock trading system is presented in order to compare the traditional form of stock brokerage with that made possible by the Internet and discuss some of the...

a r t i c l e i n f o This paper examines the relationship between option trading activity and stock market volatility. Although the option market is uniquely suited for trading on volatility information, there is little analysis on how trading activity in this market is linked to stock price volatility. The bulk of the discussion tends to focus on whether trading activity in the stock market i...

This study examined the role of positive and negative discretionary accrual management in the stock price impact. A sample of 66 firms listed in Tehran Stock Exchange was selected for a ten-year period (2008-2017). Accrual management was found to lead to significant changes in stock prices, and uninformed investors incur trading costs caused by the stock price impact. The results showed two key...