درخت حوزه‌های تخصصی

As a key tool in implementing monetary policy and government financing, government bonds play an essential role in financial markets. By means of Islamic financial innovations in the Islamic capital market, the instrument of Islamic treasury bill is published and tradable in the over-the-counter market. Islamic treasury bills have many risks in terms of execution, including the ease of trading and liquidity in the secondary market. Therefore, this research aims to examine some microstructural elements of government bonds using a vector autoregressive model. In this article, the effect of trading volume on bid-ask spread of orders has been investigated. To survey the impact of these variables, the vector autoregressive (VAR) model has been used on intraday data of 17 symbols of Islamic treasury bills in the over-the-counter market, which had the most trading days from 2021 to September 2023. According to the studies, there is a significant relationship between the trading volume and bid-ask spread only in Islamic treasury bills with long-term maturity. Therefore, the effect of the bid-ask spread of orders in different periods is greater than the trading volume, especially in longer-term Islamic treasury bills. Hence, in this research, by analyzing the impulse response function, if there is a shock on the variables, the effect of the trading volume's shock remains for several periods and affects unremarkably the bid-ask spread of orders in most of the short-term and long-term Islamic treasury bills, while effects of the bid-ask spread shocks during initial periods for long-term and short-term Islamic treasury bills is excellent, but decrease sharply during the following periods. These results help traders pay attention and reduce the risk of trading in the over-the-counter market, specifically the long-term treasury bills.

This study was conducted with the aim of evaluating the energy supply chain in the petrochemi-cal industry with the approach of Malmquist cost efficiency index and fuzzy VIKOR, taking into account the importance coefficient of input variables. After reviewing the literature, first the inputs and outputs of the energy supply chain were identified. Then, the influential variables in the petrochemical industry in the energy supply chain were identified and prioritized with the fuzzy VIKOR approach. Then the weight of the input variables was calculated with the geomet-ric mean and the input variables were entered into the mathematical model based on their weight. Based on input type, a mathematical model was written to estimate input costs to ensure output and supply chain efficiency in two consecutive years. Then the Malmquist cost index was estimated based on the model outputs. The petrochemical company with the highest Malmquist total cost index and the lowest output cost was selected as the optimal solution of the model. The value of the objective function indicates the input costs. Our inputs include two variables, the number of employees, the value of materials used in fuel reproduction. Petro-chemicals 9, 7, 12, 10, 6, 5, 3, 4, 13, 11, 2, 8, 1 and 14 respectively have the lowest input costs, but it is necessarily due to efficiency that petrochemicals and the efficiency of petrochemicals is checked. The cost return is calculated from the relevant formula in the years 2021 and 2022.

The labor market is one of the main markets in the national economy and the equilibrium of the labor market is one of the main concerns of policymakers in every country. Theoretical foundations and empirical studies show that labor demand is the main factor in creating employment and equilibrium in the labor market. This article evaluates the effect of fiscal policy on labor demand in Iran from 1976-2018. During this period, the government has implemented employment-generating projects, tax and insurance exemptions via annual development programs and budgets, and encouraged investment in areas with high unemployment rates. we examined the effect of current government expenditures, government development expenditures, and taxes to study the effect of government fiscal policies on labor demand. In this article, we estimate the dynamic function of labor demand using the ARDL technique. According to the theoretical foundations and empirical studies in the specified function, labor demand is a function of intermittent values and independent variables of Gross Domestic Product (GDP), real wages, capital stock, current government expenditures, government development expenditures, tax revenues, and dummy variables of imposed war and the UN Security Council sanction. The results showed that fiscal policy has not had a positive effect on labor demand in the Iranian labor market in the short and long term.

Monetary policy plays an important role in managing the economy, but success in applying this policy requires that the monetary authority understands the process of monetary transmission in the economy. Thus, it is not possible to study the effects of monetary policy on the economy without studying the channels of monetary policy transmission. Therefore, in this paper, the effect of a monetary policy through different channels of monetary policy transmission on inflation and production in terms of time process and extent of effectiveness by using Iran's data over the period of (1960 to 2018) through the method of new Keynesian dynamic stochastic general equilibrium have been investigated. The accuracy of the model was confirmed by analysing the impulse-response functions and calculating the method of moments of the second order. The results of the model show that the effects of monetary policy shock are transmitted through the nominal growth rate of money, the real exchange rate on inflation and production without oil. Also, this effects by increasing the interest rates on bank deposits through the monetary base lead to increase production without oil, and through the monetary base, the exchange rate and the price index of domestic goods reduce inflation.