Journal of Money and Economy

This study aims to evaluate the effect of sentiments on Iran's economy through a New Keynesian Dynamic Stochastic General Equilibrium model in a closed economy. In this study, the coefficients of the proposed model are calibrated and estimated using the quarterly data of Iran's economy from 2004 to 2015. It shows that in the presence of sentiment, how stochastic impulses affect the main macroeconomic variables. Also, for more adaptation of the model to the real world, and considering the importance and role of stickiness the effect of nominal variables on production (price stickiness) is introduced to the model. In this model, the response of macroeconomic variables to exogenous shocks of idiosyncratic demand, idiosyncratic noise, monetary policy, oil revenues, government expenditures, target inflation, and technology has been evaluated. The results obtained from the review of the impulse response functions indicate that with the occurrence of idiosyncratic demand shocks and idiosyncratic noise shocks, fluctuations in the level of macro variables do not differ in terms of the sign of the initial effect. Idiosyncratic demand and noise shocks impact on output, investment, employment, and consumption has a primary positive effect; it just has negative effects on inflation; they are different in the amount of variations; so that in the case of idiosyncratic noise shock, the initial change after the shock is much higher.

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 present paper analyzes the existence of a long-run relationship between the trade balance and exchange rate of Iran and South Korea by a new approach. It proposes an asymmetric co-integrating NARDL model by two positive and negative partial sum decompositions which can use mixed I (0) and I (1) variables by bounds testing approach. The proposed tests are based on calculated F –statistics and Error Correction Model (ECM) used to test the importance of the lagged levels of variables in an equilibrium correction model. Non-Linear ARDL approach has employed to study the reaction of the trade balance to currency devaluation. The bounds test of the NARDL model implies the presence of cointegration among the variables. Our empirical findings demonstrate that currency devaluation has asymmetric effects on the trade balance of Iran and South Korea by non-linear modeling. Furthermore, the J-curve phenomenon is not supported in this case.

The Central Bank of Iran banned online currency trading through Forex brokers in November 2016. However, some Iranian speculators still trade in the online Forex market. Is this prohibition on Forex trading reasonable? According to reports, the majority of Forex day traders fail and leave the market within six months to a year. Some scholars attribute this failure to the changeable characteristics of the losing traders, including low startup capital, failure to manage risk, lack of discipline, and impatience. The purpose of this study was to explore why the majority of traders fail and to investigate the relationship between the Forex market features and the risk of failure. We developed a previous model to address this issue. Given the Forex market is a zero-sum game; the break-even point of the representative player was formulated. The model and simulation results indicated that the expected likelihood of loss is directly related to market features such as leverage, volatility, and the frequency of trading. The minimum rate of expected return, high volatile days, and spread were the other factors affecting the risk of loss. In conclusion, the study confirms the extremely high level of risk in Forex trading, which is inappropriate for the majority of individual investors. Moreover, policymakers need to consider the high risk of loss in this market, and some appropriate regulations seem reasonable on the Forex trading.

This study aims at investigating the factors effective on poverty as one of the notable socioeconomic problems in Iran. To overcome the limitations of the prior research, the present study makes use of a multilevel model so as to simultaneously analyze the individual-level (personal characteristics) and macro-level (economic and institutional characteristics) factors. The provincial household budget data are obtained from Statistical Center of Iran and regional-national accounts of 2014 are used to explore the individual and institutional factors that might influence the poverty status of a family. Comparing the individual and institutional effects within the analytical process revealed that the model can empirically make it clear which of the two levels has the highest effects on poverty likelihoods in poor families. The study results indicate that none of the institutional and macro-level variables affects the poverty occurrence or eradication likelihoods and, in the meantime, the majority of the individual level variables, including the number of family members, employment status, age and education level of the family head are found strongly and significantly associated with poverty occurrence likelihood in a household.

In financial markets, the main component of risk management is liquidity risk. Asset and Liability Management (ALM) strategy is concerned with managing all risks. Asset and liability management seeks to manage liquidity risk, which refers to both the liquidity of markets and which assets can be translated into cash. The liquidity is importantly affected by the management of banks’ balance sheets. This paper contributes to the discussion by focusing on liquidity and asset and liability management by providing a theoretical framework to examine how the ALM could be reduced the liquidity risk in banking. We investigate the effect of ALM indicators on liquidity risk. We measure liquidity risk, and ALM with indicators approach, using financial statement in 2006-2018 and panel data approach. The results indicate that if asset and liability management improves, liquidity risk decrease and if the ratio of capital adequacy increases, the bank can better cover liquidity risk, and so increasing in capital adequacy will reduce liquidity risk. Deposit per shareholders increases the liquidity risk of banks. Interest rate increases liquidity risk. When profitability increases, liquidity risk will increase. The relation between liquidity risk and profitability is positive.