Artificial intelligence decision support system is always a popular topic in providing the human with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence...

This paper examines online stock price effects of cross-listings American Depositary Receipts (ADRs) in Taiwanese companies. Specifically, decision tree and rule base systems were used to analyse the stock price variances of ADRs in the USA and those in Taiwan market to see if the ADR listed in...

This paper examines online stock price effects of cross-listings American Depositary Receipts (ADRs) in Taiwanese companies. Specifically, decision tree and rule base systems were used to analyse the stock price variances of ADRs in the USA and those in Taiwan market to see if the ADR listed in...

There are many things that humans find easy to do that computers are currently unable to do. Tasks such as visual pattern manipulating objects by touch, and navigating in a complex world are easy for humans. Yet, despite decades of research, we have no viable algorithms for performing these and...

Purpose – The aim of this paper is to research the correlation using artificial intelligent tools among international stock markets issuing for the companies. Design/methodology/approach – The objective is to find out the correlation among markets so it can be used for trend prediction. The...

The challenge of the investment domain is that a large amount of diverse information can be potentially relevant to an investment decision, and that, frequently, the decisions have to be made in a timely manner. This presents the potential for better decision support, but poses the challenge of...