Income diversification and resilience in Iranian banks usingPrincipal Component Analysis (PCA) Method

Loan Portfolio Diversification, Market Structure and Financial Stability of Banks

 The purpose of this study is to investigate the effect of bank loan portfolio diversification and market structure on the financial stability of banks in the countrychr('39')s capital market. In order to achieve the above goal, the financial data of 17 banks have been used as unbalanced panels in the period from 2005 to 2018. In this study, data analysis was performed using fixed effects model...

The Impact of “CAMEL Composite Index” on Income Diversification: A Case Study of the Iranian Banking System

Investigating banks’ status has always been a concern to its management and regulatory decisions, which can be carried out by means of income diversification and CAMEL composite. The importance of income diversification is to decline the operation risk. The soundness of banking is also another essential component in the banking industry that can be evaluated by CAMEL. This article’s two primary...

Evaluation the efficiency of DMU's with PCA and an application in real data set of Iranian banks

Prioritizing Effective Factors in the Making Ethical Organizations by Using Combined Method of Interpretative Structural Modeling (ISM) and Principal Component Analysis (PCA)

Nowadays Organizations consider ethical principles in the business environment as an advantage and seek to strengthen it. This requires a coherent, interactive and cognitive understanding of the parts of internal and external environment of organization, which leads to the realization of the rights of the beneficiaries of the organization. The purpose of this paper is prioritize  the factors in...

Geographic Diversification and Banks’ Funding Costs

We assess the impact of the geographic expansion of bank assets on the cost of banks’ interestbearing liabilities. Existing research suggests that expansion can both intensify agency problems that increase funding costs and facilitate risk diversification that decreases funding costs. Using a newly developed identification strategy, we discover that the geographic expansion of banks across U.S....

Classification of Defects by the SVM Method and the Principal Component Analysis (PCA)

Analyses carried out on examples of detected defects echoes showed clearly that one can describe these detected forms according to a whole of characteristic parameters in order to be able to make discrimination between a planar defect and a volumic defect. This work answers to a problem of ultrasonics NDT like Identification of the defects. The problems as well as the objective of this realized...