In this paper we propose a novel model for forecasting innovation success based on online virtual stock markets. In recent years, online virtual stock markets have been increasingly used as an economic and efficient information gathering tool for the online community. It has been used to forecast events ranging from presidential elections to sporting events and applied by major corporations suc...

Anomaly is an incident or event that cannot be explained by the dominant theories. Anomalies are situated in confronting with the efficient market theory, so that it provides conditions for stock trading strategies with additional returns in case of existing predetermined returns. Therefore, in this study, the anomaly due to monthly effects on the stock volume trading and the Tehran Stock Excha...

Due to its high productivity at relatively low costs, algorithmic trading has become increasingly popular over the last few years. As news can improve the returns generated by algorithmic trading, there is a growing need to use online news information in algorithmic trading in order to react real-time to market events. The biggest challenge is to automate the recognition of financial events fro...

The ability to make prediction based on online searches in various contexts is gaining substantial interest in both research and practice. This study investigates a novel application of correlated online searches in predicting stock performance across supply chain partners. If two firms are economically dependent through supply chain relationship and if information related to both firms diffuse...

v Acknowledgements I would like to express my deep gratitude to Dr. Peter Stone and Dr. Maytal Saar-Tsechansky for their guidance, advice, and encouragement. It has been a great privilege to conduct research under their supervision. I am very grateful for the confidence they had in me. I would also like to thank Dr. Suzanne Barber for her support. Stock market dynamics have drawn the attention ...

While prior research has examined customer satisfaction in retailing and e-commerce settings, online trading services has received little research attention. To understand customer satisfaction better in this fast-growing service, we investigated the role of flow experience, a sensation that occurs with significant cognitive involvement in the online trading process. We focused on experience cl...

Stock price prediction is an important and challenging problem for studying financial markets. Existing studies are mainly based on the time series of stock price or the operation performance of listed company. In this paper, we propose to predict stock price based on investors' trading behavior. For each stock, we characterize the daily trading relationship among its investors using a trading ...

Within the stock markets, the trading volumes and the asset prices are considered to be highly changeable and unpredictable. However, effective forecasting of the way how they will change guarantees constructive advice for financial practitioners. There are various factors that may have an impact on the movements, one of which is the financial information. On the other hand, financial volatilit...

In this article, we use three clustering methods (K-means, self-organizing map, and fuzzy K-means) to find properly graded stock market brokerage commission rates based on the 3-month long total trades of two different transaction modes (representative assisted and online trading system). Stock traders for both modes are classified in terms of the amount of the total trade as well as the amount...