Fraud factors of financial statements on construction industry in Indonesia stock exchange

A hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements

Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...

Predicting Financial Distress in Tehran Stock Exchange

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

The impact of corporate governance on the financial performance of listed companies in the Tehran Stock Exchange Chemical industry

The purpose of the present paper is that of researching the impact of corporate governance on financial performance, on a sample of 3 companies (Tamin Petroleum & Petrochemical Investment Co., Persian Gulf Petrochemical Industries Company and Parsian Oil and Gas Development Group), mainly from the chemical industry area, listed at Tehran Stock Exchange index, during the period 2011-2016. In thi...

Determinants Of Investors Financial Behavior In Tehran Stock Exchange

Stock Price Prediction Based on Financial Statements Using SVM

The support vector machine (SVM) is a fast, and reliable machine learning mechanism. In this paper, we evaluated the stock price predictability of SVM, which is a kind of fundamental analysis that predicts the stock price from corporate intrinsic value. Corporate financial statements are used as input into SVM. Based on the results, we predicted the rise or drop of the stock. In addition, we ev...