Many agent-based models of financial markets have been able to reproduce certain stylized facts that are observed in actual empirical time series data by using “zero-intelligence” agents whose behaviour is largely random in order to ascertain whether certain phenomena arise from market microstructure as opposed to strategic behaviour. Although these models have been highly successful, it is not...

Many agent-based models of financial markets have been able to reproduce certain stylized facts that are observed in actual empirical time series data by using “zero-intelligence” agents whose behaviour is largely random in order to ascertain whether certain phenomena arise from market microstructure as opposed to strategic behaviour. Although these models have been highly successful, it is not...

Abstract This article explores the use of artificial intelligence software to create financial recommendations. It seeks define impacts and outline benefits using ChatGPT in highly regulated Australian sector. was asked a recommendation, which evaluated against relevant regulations recommendations existing professionals market contributors. The data generated analysed Qualtrics analysis techniq...

The concept of human intelligence includes several types of intellectual activity – rational thinking, emotional thinking, unconscious thinking, intuitive thinking, and automatic control of the biological systems. Rational thinking refers to the cognition of the phenomena and laws of the animate and the inanimate nature. It is realized through the processing of mostly visual images and is there...

To date, some 362 applications have been recognized through the IAAI conference. Together, they show the breadth and depth with which AI has penetrated the fabric of modern life. They are running operations, and assisting engineers and managers under the ground, on the ground, in the ocean, in the air and in space. They can be found assisting insurance underwriters and financial traders, F-18 p...

We propose a unique and hybrid approach containing data mining techniques, artificial intelligence and statistics in a single platform for fraud detection of online financial transaction, which combines evidences from current as well as past behavior. The proposed transaction risk generation model (TRSGM) consists of five major components, namely, DBSCAN algorithm, Linear equation, Rules, Data ...