هادی حیدری

The two most important defining aspects of L1 national identity are language and social belonging that are manifested through the individual’s inclinations toward the mother tongue or the official language and the sociocultural heritage of the country in which people are living. Moreover, based on the available literature, L2 identity may also exert an influence over the L1 national identity; however, this claim has not been securitized through valid large-scale and comprehensive surveys. Therefore, this study sought to shed light on the relationship between various second language identity dimensions (SLID) and L1 national identity. A sample of 1018 Iranian EFL learners who were selected based on the purposive snowball sampling filled out a researcher-made and validated Multidimensional L2 Identity Questionnaire (MLIQ) and a National Identity Questionnaire (NIQ). Data analysis using multiple regression revealed that the constructed SLID model could significantly contribute to the L1 national identity. The results also showed that the following four dimensions of SLID were significant predictors of national identity: transitive vs. intransitive, convergent vs. divergent, homogeneous vs. heterogeneous, and active vs. passive dimensions. Among these, active vs. passive and convergent vs. divergent dimensions had strong contributions to explaining the degree of the L2 national identity. These findings can help EFL teachers and learners develop a positive L2 identity with balanced dimensions that also promotes L1 national identity

Daily price limits are adopted by many securities exchanges in countries such as the USA, Canada, Japan and various other countries in Europe and Asia, in order to increase the stability of the financial market. These limits confine the price of the financial asset during all trading stages of any trading day to a range, usually determined based on the previous day’s closing price. In this paper we study the portfolio optimization problem with impose the price limit constraint. The dynamic programming technique is applied to derive the Hamilton–Jacobi–Bellman equation and the method of Lagrange multiplier is used to tackle the constraint. Optimization problem solution results, using numerical method show that the equilibrium path of wealth and investment in risky assets has a different way than in the absence of price limits.

The most important tool for promoting the bank’s stability and health is the establishment of a standard corporate governance structure for managing the bank's business. Redesigning the relationships between bank management, shareholders and the rest of the bank’s stockholder, including the objectives, the risk and audit indices, and internal control of the bank, is recognized as the foundation of corporate governance. Good corporate governance in a bank increases productivity reduces financial risk and enhances systemic sustainability. Bad corporate governance increases the likelihood of a bank's bankruptcy and creates risks that are likely to contagion the entire banking network. In this paper, considering the importance of the corporate governance in the banking network, and issuing Central Bank circular in 2016, we will review corporate governance requirements, as well as quantify its effective indicators. To determine the corporate governance structure, we have introduced and quantified several important indicators about the board structure, internal control, and auditing of the banks. The period for the analysis of corporate governance in the banking network by indicators is 2011 to 2017. This information is extracted from financial statements or through the official website of the bank network. The results confirm that good corporate governance affects financial statement and precautionary ratios in banks.

The real macroeconomic instability and frequent changes in the monetary and banking regulations with financial contagion to the banks’ financial statements in the banking network of Iran cause intensified instabilities in its financial behaviors. In this paper, using statistical analysis and three-dimensional charts, we have analyzed the behavior of the financial statements of consolidated balance sheets covering the banking network of Iran. The paper also uses a non-linear estimation to calculate the threshold value regarding financial statements such as the nonperforming loan ratio. Results indicate that the banking network financial statements must be restructured due to exogenous shocks. Also, in the recession periods of the year 2011 fourth period and 2012 first period, the recession has reached the banking network with lag and banks have been able to change the return on assets ratio regimes neither in the year 2011 nor in the beginning months of the year 2012. Furthermore, the banks have started a contracting policy in providing loans. As time passes, yields and the performing loans depict the fact that yields on assets as profit indicators are increased unless the interest earning and different periods of time changes are also augmented. Going beyond the critical threshold, generating loans will be likely to drive non-performing loans since these loans are not going to be reimbursed. Banks will have to extend their loans to new loan contracts to consider them as performing which will lead to identification of fake profits in their statements. Key words: Financial Statement restructuring, Nonlinear Estimation, Threshold value JEL Classification: E21, G21, L2