Purpose: The study aimed at portraying the current role of Artificial intelligence in accounting, auditing, and financial reporting.
 Methodology: used a descriptive research design. This form design aims describing status an identified variable. Data was collected from secondary materials.
 Findings: Currently, multiple AI technologies are being utilized reporting. expert systems acc...

With the continuous development of economy, economic model is constantly changing. Especially since China’s entry into WTO, scale has reached a new height. The economy makes financial news module evolve towards specialization. However, with emergence Internet Things technology, large number data appear in network, which brings some difficulties to classification and analysis economy. Emotion re...

Recent progress of computer technology makes it possible to analyze financial and economic systems through simulation studies. Among them, agent-based modeling is promising. In this paper, using agentbased modeling from distributed artificial intelligence, I discuss the validity of passive investment strategies in financial markets where active investors who hold future information exist. As a ...

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

The aim of this research is the analysis of management ability using accounting and corporate governance criteria and also artificial intelligence. The primary independent variables in this study include regulatory variables (characteristics of corporate governance and audit committee) and accounting variables (performance and risk criteria). We took advantage of Demirjian index to measure mana...

The purpose of this paper is to analyze financial ratios of Australian Mining companies in order to specify and quantify the variables which are effective indicators and predictors of corporate distress. Using financial ratios, the paper explores the quantifiable characteristics of potential bankrupts using cutting edge Recursive Partitioning techniques like Discriminant Analysis, Decision Tree...

During the last several years machine learning started to revolutionize many industrial fields by replacing human intellectual work with recent technologies. Machine learning has started to be used in financial sphere as well for predicting stock prices, detecting fraud actions etc. In this work, we are focusing on financial market risk classification, which is a part of fraud action detection ...

The financial services industry is rapidly changing. Factors such as globalization, deregulation, mergers and acquisitions, competition from nonfinancial institutions, and technological innovation, have forced companies to re-think their business. Many large companies have been using Business Intelligence (BI) computer software for some years to help them gain competitive advantage. With the in...