Macroeconomic indicators

Financial statements of nineteen mature banks have been patronized to examine the impact of macroeconomic indicators and bank-specific determinants on the NPLs ratio through Quantile and Panel Data regression approaches. The impact of macroeconomic indicators on credit risk is statistically estimated for banking network via two directions. First, different quantiles are econometrically calculated, assessed and compared during 2007-12. Second, the Panel Data estimation is utilized in the same way to verify the outcomes of quanitle regression and to check the robustness. Results indicate that the impact of real money supply on the banks’ NPLs in 25%, 50%, and 75% of data is positive and significant in line with empirical evidence. The coefficients of the other variables (including the ratio of individual banks’ performing loans to total deposits, individual banks’ performing loans to total loans ratio, as well as GDP would be positively significant as well. The real interest rate has negatively-significantly driven NPLs. The banks’ NPLs are generally exacerbated by the impact of higher real money supply over the long run, real interest rate in the money market and upper return in the assets market mainly because of the negative-inflationary transmission effect. JEL Classifications: C16, C23, E51, G21

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.

The aim of this study was to The Impact of Renewable Energy Development Policies on Macroeconomic Indicators in Iran in 2020 through the exploratory mixed exploration model research method. The statistical population in the qualitative sector was professors of higher education centers in the field of energy and economics, and senior, middle managers and senior experts of the country's electricity industry and in the quantitative sector the managers and deputies of Ministry of Energy, Companies of TAVANIR, Regional Electric Company of Tehran, Fars and Mazandaran and SATBA by 180 people. In qualitative part 20 experts were selected by snowball sampling method and in quantitative part 123 people were selected by relative class sampling method with Cochran's formula. Data were analyzed in qualitative part with Delphi technique and in quantitative part with 105-item questionnaire with SPSS and Smart PLS software. To determine the validity and reliability in the qualitative part, the necessary tests including acceptability and capability have been used and in a quantitative part, the validity of the questionnaires was confirmed in terms of form, content (CVR and CVI range for each item between 0.6 to 0.1 and 0.85 to 0.1, respectively) and structure. The reliability and combined reliability of the components were estimated and confirmed between 0.847 to 0.951 and 0.759 to 0.931, respectively. Findings showed that the model of the Impact of Renewable Energy Development Policies on Macroeconomic Indicators in Iran has nine dimensions (objective evaluation, legal framework, compliance, management requirements, policy environment management, process evaluation, policy evaluators, auditing and the characteristics of the optimal method of evaluation) and 25 components.

The most important policymaker entity in the bank-centered economy of Iran is central bank of Islamic Republic of Iran which has always been trying to manage and improve macroeconomic indicators by applying monetary policies. However, investigation of Iran's economy after four decades shows that this country has always suffered from double-digit inflation rates and 15000-fold liquidity throughout this period, while GDP of Iran has grown only by two times during this period. This paper tries to evaluate the effect of monetary policies of central bank on macroeconomic indicators by analytical-descriptive and library method via combining system dynamics and fuzzy multi-criteria decision-making using Vensim and Super Decision software. Monetary policy instruments in this re-search include foreign exchange rate, deposits interest rate, facilities interest rate, required reserve ratio, and open market operations. Further, the macroeconomic indicators include inflation, liquidity, national foreign exchange value, and eco-nomic growth. The results indicated that the most important macroeconomic indi-cators in the country according to economic experts are "national foreign ex-change value" and "inflation". The most important tool for monetary policies of central bank is "foreign exchange rate". Indeed, in order to improve the economic misery index, this bank should take measures to improve the national foreign exchange value, then manage inflation and liquidity, and eventually adjust the banking interest rate