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RISAudit report forecast: an application of nonlinear grey Bernoulli model
due to the fact that the linear nature of GM is unable to forecast nonlinear data precisely. In essence, this paper adds value to the strand of audit report literature by examining the impact of different financial ratios on auditors’ opinion...
Management Assessment of Going Concern Based on Data Mining Using Adaptive Network Based Fuzzy Inference Systems (ANFIS)
Going concern is a fundamental concept for the preparation of financial statements by management. This paper has employed a data mining approach for going concern prediction (GCP) and has applied Adaptive Network Based ...
Measuring the impact of the (2011-2012) financial crisis on the relationship between financial ratios and bank profits
The purpose of this study was to investigate the effect of financial ratios of banks on bank performance in crisissituations. The research hypotheses were tested by using a multivariate regression model. Then, the results ofthe descriptive indexes of the...
Bankruptcy Prediction by Using Support Vector Machines and Genetic Algorithms
The original purpose of this study is comparing of Support Vector Machine and Genetic Algorithm and impact of financial ratios on accuracy of bankruptcy prediction. In according to some limitations in traditional statistical models, we used two...
Relationship between Financial Ratios and Stock Prices for the Food Industry Firms in Stock Exchange of Iran
Food stocks in the stock market is one of the serious debate in the industry is considered. The main
subject of the relationship between financial ratios and stock prices of companies listed on the Stock Exchange of food. The data from...
The Effect of Financial Indicators on Trading Volume of the Listed Companies on the Tehran Stock Exchange
Millions of shares traded daily on the stock market. Factors influencing the number of transactions that will be remembered as the Trading Volume has been of interest to investors and analysts. The main source of information ...
Using the Imperialistic Competitive Algorithm Model in Bankruptcy Prediction and Comparison with Genetic Algorithm Model in Listed Companies of Tehran Stock Exchange
by shareholders and stakeholders. The study sample consisted of 38 bankrupt and 38 non-bankrupts companies during 2007-2016. The final variables used in both algorithms were five financial ratios. The results showed that the imperialist competitive algorithm had...
Data Mining Approach Using Practical Swarm Optimization (PSO) to Predicting Going Concern: Evidence from Iranian Companies
Purpose - Going concern is one of fundamental concepts in accounting and auditing and sometimes the assessment of a company’s going concern status that is a tough process. Various going concern prediction models’ based on ...
Data Mining Approach to Prediction of Going Concern Using Classification and Regression Tree (CART)
This paper has employed a data mining approach for Going Concern Prediction (GCP) for one year ahead and has applied Classification and Regression Tree (CART) and Naïve Bayes Bayesian Network (NBBN) based on feature selection ...