in this study, attempts are made to recognize effective factors in enhancing the intension to use online stock trading application by real investors via combining the models of reasoned action and decomposed theory of planned behavior and merging it with dimensions of online stock trading. questionnaires designed and ditributed between 300 people attended in tehran stock exchange and agah broke...

The recent proliferation of online stock trading raises the question of whether online stock trading provides online investors with better benefits than does traditional brokerage-based trading. Compared to its well-known benefits such as lowered commission costs and convenience , the costs incurred to online investors before the transaction – information-processing costs – seem to have receive...

In the digital economy of information and communication technology, several organizations from various industries are jumping onto the bandwagon of offering consumer-oriented electronic commerce applications. In Singapore, Internet Stock Trading has been at the forefront of this trend since 1998. However, to-date, the penetration rate of online trading remains low. As such, this paper attempts ...

The fast development in computing and communication has strongly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. Many online financial services have given investors new opportunities to trade stocks and access real-time market information efficient way. But, very few investors in UAE are familiar and use these s...

The aim of this study is to investigate, using the perspective of the investor, the determinant factors for the success of the stock brokerage process over the Web, using financial portals on the Brazilian Internet. A framework of the online stock trading process is presented in order to compare the traditional form of stock brokerage with that made possible by the Internet and to discuss some ...

We examine the ability of online ticker searches (e.g. XOM for Exxon Mobil) to forecast abnormal stock returns and trading volumes. Specifically, we argue that online ticker search serves as a valid proxy for investor sentiment – a set of beliefs about cash flows and investments risks that are not necessarily justified by the facts at hand – which is generally associated with less sophisticated...

Who will be the third party registry, the government or private industry? The CA in Japan is established by the Japanese government. And even in US, EFT (Electronic Fund Transfer) which is a method for transferring money automatically by computer during e-commerce transactions is run by the Automated Clearing House which is closely associated with the Federal Reserve Bank of US (Lieberman, 1997...

Applications of Machine Learning (ML) to stock market analysis include Portfolio Optimization, Investment Strategy Determination, and Market Risk Analysis. This paper focuses on the problem of Investment Strategy Determination through the use of reinforcement learning techniques. Four techniques, two based on Recurrent Reinforcement Learning (RLL) and two based on Q-learning, were utilized. Q-l...

As e-business grows rapidly, interests in design principles for e-business web sites are increasing. A few studies have suggested design principles with concrete design features, but failed to link the features to the performance of an e-business site, such as attitudes of its customers or financial performance of the e-business company. This paper proposes a comprehensive framework that covers...

In this talk I will present several studies conducted at the AI Lab of the University of Arizona that aim to understand and predict market movements using text mining, breaking news, and social media. In “User-Generated Content on Social Media: Predicting New Product Market Success from Online Word-of-Mouth,” we explore the predictive validity of various text and sentiment measures of online WO...