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Showing 5 results for Eskandari
Nader Eskandari, Mohammad Bashokouh Ajirlo, Hossein Rahimi Kolour,
Volume 10, Issue 34 (5-2021)
Abstract
In today's highly competitive environment, banks view core competencies as a kind of business strategy that increases their credibility and increases their market share. core competencies is a set of special skills that enable a company or organization to deliver unique products or services to consumers and thereby stimulate positive feedback. Using a core competency tool allows organizations to earn a significant difference to their competitors by investing in their strengths. The purpose of this study is to Explaining the impact of core competencies the banking industry on consumer reactions. This study is applied in terms of purpose and is descriptive-survey in terms of data collection. The statistical population of the research was the banking industry customers in Ardabil in unlimited numbers, that 460 samples were evaluated through a standard 37-item questionnaire. The validity of the questionnaire was confirmed by content method, and convergent validity and confirmatory factor analysis, and its reliability was confirmed by Cronbach's alpha and combined reliability. PLS method was used to test the research hypotheses and the results show that all hypotheses have been confirmed. Findings showed that core competencies lead to a positive consumer response. Efforts to increase customer satisfaction and trust also increase positive word of mouth, increase loyalty and ultimately the intention to buy.
Amirali Farhang, Jalal Jamali, Abas Ashja, Hamid Eskandari,
Volume 10, Issue 35 (9-2021)
Abstract
Deposits insurance, as an integral part of the set of strategies, plays a preventive role (through prudential supervision) as well as a forward-looking role (by guaranteeing public deposits) in the financial health of countries. The stability of the financial sector has been discussed.
Objective: The main purpose of the present study is to evaluate deposit insurance in the useless banking industry in Iran. Statistical population of Iran and the sample of selected banks include Parsian, Pasargard, Saman, Melli, Sepah and Housing in the period of 1385-1397.
Methodology: The research method is descriptive-applied. Firstly, using the statistical data of the above mentioned banks, the credit risk of the banks is obtained and then using the GARCH model the estimation of the deposit insurance pricing is done.
Findings: The results show that the credit risk of different banks is different and therefore, the pricing of deposit insurance is different for private and public banks, it is suggested that the deposit insurance pricing system In Iran, it be calculated on a yearly basis according to the risk of each bank.
Morteza Soleimani, Seyyed Ali Paytakhti Oskooe, Monireh Dizji, Sima Eskandari Sabzi,
Volume 11, Issue 38 (6-2022)
Abstract
The relationship between globalization indicators and financial development is controversial. International institutions such as the World Bank, the International Monetary Fund, and the Organization for Economic Co-operation and Development (OECD) advise member states that globalization indicators have a positive impact on financial development. This paper also examines the nonlinear effects of globalization (Combined Globalization Index) on financial development (banking,s credit) in Iran during the period 1988 to 2019 using the Markov Switching econometric technique. The results indicate that globalization in the first regime (boom) has a positive effect on the financial development index, while in the second regime (recession) we see a negative relationship. Therefore, given the importance of globalization, economic planners and policy makers should provide a good platform for the further development of financial services.
Masoud Emamei, Roya Aleeomran, Sima Eskandari Sabzi,
Volume 13, Issue 48 (8-2024)
Abstract
This research aims to investigate the long-term impact of Brainard's uncertainty and banking stability on Iran's economic growth; Therefore, it is practical in terms of purpose and analytical in terms of causal type. The statistical population is all the banks admitted to the Tehran Stock Exchange. The model presented in this research includes four sectors: households, companies, banks and the government. Thus, the stochastic dynamic general equilibrium model was designed according to the long-term conditions of Brainard's uncertainty, monetary policy and research objective. For this purpose, first the utility function of the household was explained and then the optimal equations of the household sector were extracted from the utility maximization process according to the budget constraints. After that, the production function was explained in terms of the assumption of price and wage inflexibility competition, and optimal equations were obtained from the company's profit maximization process. Also, the banking sector was added to the model, which is one of the initiatives and innovations of the present research. The banking sector, like a producer, seeks maximum profit, and through this, the optimal equations of this sector were also obtained. Finally, the government and central bank were also added to the model according to the conditions of Iran's economy. To solve the model, first all the equations must be linearized, so in the next step, the linearization process was done in different ways. The next step is to determine the parameters of the model, which was obtained from the combination of calibration and estimation methods, and the model was solved using the random dynamic general equilibrium model solution methods
Fereydon Khosravi, Sima Eskandari Sabzi, Davoud Haghkhah, Ali Salmanpour, Rostam Ghara Daghei,
Volume 14, Issue 50 (3-2026)
Abstract
The main goal of this article is to investigate the impact of bank facilities on business cycles in the agricultural sector of Iran's economy. The statistical population in this research consists of the added value of the agricultural sector at constant prices of 2013, the working force, fixed capital and the facilities granted by banks to this sector, in the period of 1978-2018, which are extracted annually from the Central Bank and It has been analyzed using Eviews software. First, by using Hodrick-Prescott filter, business cycles are extracted separately, and then the model is estimated by vector error correction method. The adjustment coefficient related to the estimated equilibrium relationship in the agricultural sector is estimated as -0.44, which means that in each period, 44% of the imbalances in one period are adjusted in the next period. What is clear is that expansionary monetary policies in the form of banking facilities in Iran's economy are disciplined policies rather than active and diagnosis-based policies.
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