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Dr Farhad Ghaffari, Ph.d. Student Reza Mashhadi, Dr Seyed Shamseddin Hosseini, Dr Kambiz Peykarjou,
Volume 14, Issue 3 (Summer 2019)
Abstract

The soundness and efficiency of banks is one of the important subjects that neglecting it can have adverse consequences for every country's economy. For economies depending on the money market, such as the Iran economy, this subject is more critical. Therefore, in this study, using panel data related to 16 Iranian banks for the annual period of 2010-2017, the economic efficiency was determined using a translog cost function and stochastic frontier analysis method then, by estimating the model of panel vector autoregression model and Granger causality test, the causal relationships between efficiency and information asymmetry in terms of adverse selection ( the ratio of loans to assets and the ratio of loans to deposits) and moral hazard ( the ratio of non-performing loans), were investigated, both of which are caused due to the information asymmetry. The estimations confirm the unilateral causal relationship of adverse selection and moral hazard with banking system efficiency. And, on the contrary, they claim that low efficiency of the banking system increases the adverse selection and moral hazard is not confirmed. Besides, the results of other estimates based on the panel model with random effects indicate a negative and significant impact of moral hazard and adverse selection on efficiency.

Reza Mashhadi, Farhad Ghaffari, Seyed Shamseddin Hosseini, Kambiz Peykarjou,
Volume 17, Issue 2 (6-2022)
Abstract

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 goals are computing CAMEL composite index and investigating the relationship between income diversification and banking soundness, using CAMEL composite index within the financial statements of 16 Iranian banks between the years 2010 to 2017. This study applied an exploratory factor analysis (EFA) to compute the CAMEL composite calculated by arithmetic mean in the previous studies. In addition, the Herfindahl-Hirschman index (HHI) has been used to calculate income diversification. The generalized method of moments (GMM) panel model has been utilized to study the relationship between variables. The result of EFA confirms two factors: financial ability and financial performance. The result of GMM panel model shows a positive and significant relationship between financial ability and financial performance on income diversification.



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