Article history: Received 2 March 2015 Received in revised form 19 May 2015 Accepted 26 May 2015 Available online 9 June 2015 Wecombine two concepts of informed trading – contrarian trades and stealth trading – to develop proxies for the probability of informed trading. These proxies are used to test the link between informed trading and adverse selection asmeasuredbybid–ask spreads and stock i...

Growing evidence is suggesting that postings on online stock forums affect stock prices, and alter investment decisions in capital markets, either because the postings contain new information or they might have predictive power to manipulate stock prices. In this paper, we propose a new intelligent trading support system based on sentiment prediction by combining text-mining techniques, feature...

We examine the quality of information and communication in online investment discussion boards. We show that positivity bias and skewed risk/reward assessments, exacerbated by the insular nature of the community and its social structure, contribute to underperforming investment advice and unnecessary trading. Discussion post sentiment has negligible correlation with future stock market returns,...

The ease of Internet stock trading has lured relatively inexperienced investors into the financial markets. We study the consequences of the influx of these uninformed traders with a dynamic equilibrium framework. Our results show that these strategic uninformed online traders who adopt feedback strategies cannot outperform those who do not follow feedback strategies and that feedback trading c...

Stock trading plays an important role for supporting profitable stock investment. In particular, more and more data mining-based technical trading rules have been developed and used in stock trading systems to assist investors with their smart trading decisions. However, many mined trading rules are of no interest to traders and brokers because they are discovered based on statistical significa...

The purpose of this study is to investigate the determinants of stock investors’ intention towards using mobile stock trading. Based on a modified UTAUT (unified theory of acceptance and use of technology) with risk perceptions, a comprehensive research model was proposed. An empirical survey with a valid sample of 329 stock investors was conducted in Taiwan to test the research model. The anal...

This work examines the predictive power of public data by aggregating information from multiple online sources. Our sources include microblogging sites like Twitter, online message boards like Yahoo! Finance, and traditional news articles. The subject of prediction are daily stock price movements from Standard & Poor’s 500 index (S&P 500) during a period from June 2011 to November 2011. To fore...

demand for scalable and dependable distributed computing systems. E-commerce and online stock trading systems are examples. These systems concurrently serve many clients that transmit a large, often "bursty," number of requests and have stringent quality of service requirements. To protect hardware investments and avoid overcomitting resources, such systems scale incrementally by connecting ser...

TweetTrader.net is a stock microblogging forum that leverages the wisdom of crowds to aggregate the information contained in stock-related tweets. Based on insights from academic research on stock microblogs, the application integrates inputs from text classification, user voting and a proprietary Stock Game in order to extract the sentiment (i.e., the bullishness) of online investors with resp...

This paper aims to apply the quantile regression analysis to explore the impacts of the stock market trading value, change in international oil prices, and the US implementation of Quantitative easing monetary policy on Taiwan’s and Korea’s stock index returns. This study is in accordance with the 2008 US implementation of quantitative policy to conduct research on 53-month data collected from ...