Journal of Money & Economy
Volume:12 Issue: 2, Spring 2017

In addition to traditional factors, demographic changes also depend on factors such as marriage and divorce. Yet only a few researchers investigated the impact of divorce on housing costs. The aim of this paper is to estimate the effect of divorce on housing costs in Iran. Doing so, we have applied a fixed Panel Spatial Autocorrelation model using the data from a set of Iranian provinces over the period of 2006-2014. The results indicate that a one-percent point rise in divorce increases housing rental index by about 1.05% point directly and indirectly. The outcomes also show that household size has a negative and significant effect, but the per capita gross domestic product and the population have positive and significant effects on the housing rental index. On average, a one-percent point increase in the housing rental index of any provinces will increase the housing rental index in a province by about 0.34 percentage points.

The housing market plays a significant role in the economies of countries, and as an asset price channel, is considered as one of the main channels for monetary transmission mechanism. Considering the structure of the country's economy and the characteristics of housing as a capital commodity, the assessment of the impact of housing investment on inflation is important. This research evaluates the impact of housing investment, as an asset price channel, on inflation in Iran's economy by self-regression model with the possibility of changing the regime of Markov (MS-VAR) and using seasonal data for the period of 1369-1395. In general, it is concluded that the investment channel, as an asset price channel, in the housing sector contributes to inflation in each period of recession and boom, and increases inflation. Also, the channel does not affect the exchange rate during the recession, but it leads to a devaluation of the national currency during the boom.

In the present study, the effect of concluding and executing monetary treaties as well as membership of regional economic cooperation organizations (as a potential for using regional currency) on mutual exports between Iran and its 50 major trading partners during the period of 2000 to 2016 is investigated. The Generalized Commercial Gravity Model and Ordinary Least Square (OLS) regression of panel data with fixed effects are used. Countries' exports to each other are considered as dependent variables, and economic weight (log ratio of countries' GDP based on the purchasing power parity to each other), geographic distance between countries, real effective exchange rate and the degree of openness of the economy are independent explanatory variables. In addition, monetary treaties and the membership of the countries in the Asian Clearing :union:, in the Economic Cooperation Organization (ECO) and in the Organization of Islamic Cooperation (OIC) are considered as dummy variables. The results show a positive and significant relationship between monetary treaties and the volume of exports of countries to each other. Also, the coefficients of dummy variables are significant and negative, indicating the lack of potential for the use of regional common currency among 51 countries over the considered period.

The Basel Committee on Banking Supervision (BCBS), in response to the recent financial crisis, has developed new stability rules aimed at preventing financial crises in the future. This paper uses the new Liquidity Ratio (LCR) and attempts to determine the impact of this ratio on the stability of the banking system. The objective of the LCR is to promote the short-term resilience of the liquidity risk profile of banks. It does this by ensuring that banks have an adequate stock of unencumbered high-quality liquid assets. The LCR will expand the banking sector’s ability to bear shocks arising from financial and economic stress. We find that liquidity coverage ratio as a requirement in the regulation develops bank stability. Specifically, banks with more liquidity coverage ratio are more stable. The role of banking ownership is also pursued as another goal in the paper. According to the results, there is the positive effect of the liquidity coverage ratio on stability in private banks and there are the negative effects of the liquidity coverage ratio on stability in state and specialist banks. We find that there is a difference between state banks and specialized banks with private banks. The state and specialized bank have more liquidity risk than private banks in Iran.

Development of e-banking has empirically modified the structure and characters of banks’ performance, efficiency, risk and challenges which have also been articulately recognized based on the international best practices. E-banking brazenly accelerates and restructures financial transactions via enhancing technology and expanding the banking services in comparison with conventional banking. Accordingly, online access to the banks’ products, financial statements, payment services and even credit scoring has considerably improved banks-customers relationships in the context of lending and borrowing practice, deposit composition, investment opportunities, trade finance options as well as account management diversification. The impact of recent e-banking developments is statistically evaluated for Iran’s banking network via Dynamic Panel Data approach. The findings highlight that the ratio of ATMs and Electronic Cards transactions to banks' assets negatively-significantly influence the profitability due to higher substitution ratio with the other payment instruments and maintenance cost. The ratio of online branch transactions to the banks' assets negatively-insignificantly affects the profitability owing to the rapid increase in the NPLs and loan/loss expenses which has consequently shrunk Shared Revenues over the past 10 years. SWIFT-branches have positively-significantly enhanced the banks internal-secured cash flow while contemporaneously improves fund efficiency, banks’ services fees, and ultimately profit margin.

Measuring the dynamic relationship between banking and industries with systemic importance has attracted much attention after the recent financial crisis. This paper examines the dynamic conditional correlations and volatility spillover using three popular multivariate GARCH models in the twelve-year period (from the beginning of 2005 to the beginning of 2016) among the fourteen systemically important industries in Iran’s capital market. The purpose of this study is to understand and identify the volatility spillover between industries to predict financial fluctuations, as well as policy decisions and risk management. The results of this study confirm the spillover between “Banking” and the five industries of "Basic Metals", "Industrial Multidisciplinary", "Investments", "Computers", and "Transportation & Warehousing". There is also an asymmetric spillover between “Banking” index and the "Chemical Industry", the "Extraction of Metal Ores", "Pharmaceuticals" and "Communications Devices". The results are used for mapping fundamental analysis and risk programming.