جعفر باباجانی

Corporate Governance debates raised seriously in scandals and financial crisis of recent decades in large companies and banks. The focus of this debate is not merely the corporate governance system, and its main function is to preserve the interests of stakeholders. At the macro level, economic efficiency, sustainable growth and financial stability are important effects of the system. Establishing an efficient corporate governance system in the banking system and evaluating and ranking them requires a comprehensive model that encompasses all the internal and external mechanisms affecting corporate governance and localized indices and relevant international principles. In this research, corporate governance in banks has been evaluated via a model developed in the framework of systematic thinking which includes three dimensions 1) Inputs (structures and inputs), 2) Roles and processes, and 3) Outputs (goals, performance and results of them). The main objectives of this study are to evaluate the compliance status of 27 banks with the indicators of corporate governance model and their efficiency and effectiveness, as well as to examine the correlation between the components of corporate governance within the system including inputs, processes and outputs. According to the results, 47.8% of the qualitative indicators are covered in the current situation of the banks of the country, but there is a significant gap between the full compliance with the model. Based on the results in the performance sector, private banks scored the highest and state banks scored the lowest. The results of evaluating the correlation between the components of corporate governance model showed that there is a positive and significant relationship between the dimensions of inputs and processes with the goals, results and performance of banks. Accordingly, by improving the status of input indicators and the corporate governance model process, the status of target indicators, results and performance of banks will also improve

This study aims to present a model for predicting corporate default among Tehran Stock Exchange’s selected industries. To do this, corporate default drivers were identified and selected by referring to previous research findings and using experts’ opinions. These drivers were divided into five categories: accounting ratios, market variables, macroeconomic indicators, nonfinancial factors, and earnings quality measures. Structural equation modeling (SEM) technique was used to derive the prediction model. In this technique, corporate default drivers were used as latent independent variables, and their constituent factors were considered as observable indicators of the above variables. In addition, corporate default, as the latent dependent variable, was calculated by a measure based on the Black-Scholes-Merton (BSM) option pricing model. After implementing structural equation modeling (SEM) technique by use of Smart PLS software, a prediction model that contains influential drivers of corporate default was derived and presented for each of the selected industries.