جستجوی مقالات مرتبط با کلیدواژه « structural vector autoregression model » در نشریات گروه « علوم انسانی »

According to financial and monetary theories, the main role of banks in the economy is to create liquidity through cash deposits and provide them in the form of loans. The main purpose of this study is to investigate the effect of shadow banking system on the volume of liquidity in Iran. For this purpose, Iranian quarterly data during the years 1397-1388 have been analyzed using structural vector autoregression and ordinary least squares. The results of  the SVAR model in the form of shadow banking shock and analysis of variance show that the shadow banking system affects the liquidity of the country in the period under review, so that the effect of shadow banking shock on supply Money and quasi-money reached their highest levels in the second year, about 29.70 and 28.40 percent, respectively, and then began to decline. Also, the results of the ordinary least squares method show that there is a positive relationship between shadow banking and money supply and quasi-money and the correlation coefficient of shadow banking with money supply and quasi-money is 0.502677 and 1.043699, respectively. Therefore, the activities of the shadow banking system increase the volume of liquidity by promoting the volume of money and quasi-money, which are the components of the volume of liquidity.

In this research, attempts have been made to identify the characteristics and distinctive features of Islamic banking compared to conventional banking by studying the theoretical framework of Islamic banking literature. Subsequently, by focusing on each characteristic, their relevant indicators were designed and introduced.

The purpose of this article is to investigate the effects of monetary policy through monetary transmission channels (interest channel, exchange rate channel, credit channel and expectations channel) in the short term during the period of 1386Q1 - 1396Q4.

Using the structural vector autoregression (SVAR) model, the effects of monetary policy were investigated through channels.

The experimental results obtained from the estimation of the relationships between the variables using the SVAR approach based on statistical data show that in the short term the exchange rate channel is the most effective one in the transmission of monetary policy in a way that the expectations variable has the most effect on this channel. After the exchange rate channel, the expectations channel and the credits and interest rate channel have the most impact in the short term, respectively.

By examining the relative importance of monetary transfer channels, we can point out the principle that with the passage of time, the effectiveness of the channels will change. Accordingly, with price shocks, the expectations channel has the most impact in the short term.

Capital markets are created with the goal of allocating and equipping resources, and one of the most important tasks of these markets is to provide liquidity. A minimum of liquidity is essential for the survival of the capital market.  Given that liquidity is considered a type of risk for financial assets and in recent decades has been considered by many economists, so the study of monetary and fiscal policy shocks and their effect on liquidity is important. It is a significant step in orienting the capital market. In this study, using the Structural vector autoregressive (SVAR) model, the impact of monetary and financial instabilities on the liquidity of energy industry stocks has been investigated. The data used are 43 companies active in the energy industry on the stock exchange for 2008  to 2018. The results indicate that monetary and financial instability have a negative impact on the liquidity of energy-intensive industries.

After the 2008 financial crisis, it became clear that monetary policy has been one of the main reasons for the vulnerability and instability of financial markets. This article examines the dynamics of the effect of monetary policy on the fragility of the money market during 1991:Q1-2017-Q4 in Iran. First, an index for the fragility of the Iranian money market is extracted and then the effect of monetary policy on this index is investigated. To show the performance of the monetary policy, three variables of the weighted real interest rates, monetary base growth rate, and excess reserves rate have been used as monetary policy instruments. The results show that an increase in the real interest rate reduces the volatility of the money market, but the other two instruments do not affect the volatility of the money market. The results of the Forecast Error Variance Decomposition also show that the share of monetary instruments in explaining the changes in money market fragility in the short and medium-term is small and less than ten percent, although the effect of the real interest rate is higher. As a result, it can be concluded that financial and quasi-financial dominance of the government, and the freezing of a significant amount of commercial bank assets, monetary policy has no significant effect on the fragility of the money market.