Corporate Governance in Detecting Lack of Financial Report
نویسندگان
چکیده
منابع مشابه
Impact of Corporate Governance on Financial Performance
The purpose of the study is to determine the structural relationship between corporate governance and financial performance. The study develops a model linking corporate governance and financial performance then verifies it through structural equation modeling based on partial least square. The study is based on random sample of all Karachi Stock Exchange listed companies. Data related to corpo...
متن کاملDetecting Corporate Financial Fraud using Beneish M-Score Model
Detecting financial fraud is an important issue and ignoring this issue may cause financial and non-financial losses to individuals and organizations. The aim of this study is to test the ability of Beneish M-Score Model for detecting financial fraud among companies listed on Tehran stock exchange. The research sample consists of 137 companies listed on Tehran Stock Exchange for a period of 11 ...
متن کاملImpact of Corporate Governance on Corporate Financial Performance
Corporate governance is the new buzz-word in corporate world these days. It is viewed as a moral duty. It involves promoting the compliance of law in letter and spirit and demonstrating ethical conduct. The relationship between corporate governance and financial performance has caught wide attention of researchers in the last decade. Numerous researches have been conducted in past to investigat...
متن کاملManagerial Preferences , Corporate Governance , and Financial Structure ∗
Conflicts of interest between insiders (e.g, controlling shareholders) and outsiders (e.g., minority shareholders) are central to the analysis of modern corporation. In an integrated continuous-time contingent claims framework with imperfect corporate governance, we examine a controlling shareholder’s optimal choice of capital structure, ownership concentration, private benefit diversion, consu...
متن کاملExploiting Corporate Governance and Common Size Analysis for Financial Distress Detecting Models
Traditionally, statistical techniques such as multivariate discriminant analysis and logistic regression analysis have been applied for predicting financial distresses by analyzing financial ratios. In addition to statistical methods, recent studies suggest that backpropagation neural networks (BPNs) and support vector machines (SVMs) can be alternative approaches for classification tasks. Henc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Jurnal Dinamika Manajemen
سال: 2017
ISSN: 2337-5434,2086-0668
DOI: 10.15294/jdm.v8i2.12757