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Showing 15 results for Liquidity
Dr Soheil Roudari, Dr Hamidreza Maghsoudi, Dr Farzaneh Ahmadian-Yazdi,
Volume 0, Issue 0 (12-2024)
Volume 0, Issue 0 (12-2024)
Abstract
Aim and Introduction
One of the most important issues in Iran's economy is related to managing the exchange rate, inflation and budget deficit. During tightening of the sanctions, the oil revenues are limited which potentially leads to an increase in the budget deficit as well as a decrease in the currency supply which accelerates the exchange rate. On the other hand, with the increase in the budget deficit, the probability of borrowing from the banking system and also the issuance of bonds increases, which in turn rise the monetary base and liquidity. In addition, inflationary expectations also increase, which can be effective in improving assets prices. With an increase in inflation, based on the inflation-currency spiral, there is a possibility of a grow in exchange rate in order to maintain the competitiveness of domestic production. This can accelerate the price of imported commodities and cause domestic inflation again. With the increase in inflation and households spending, nominal wages will have a higher growth compared to normal conditions in order to maintain minimum purchasing power, which can again face the government with limited resources and more borrowing to meet current expenses. From the monetarists’ point of view and the classical economics, in general, the main stimulator in increasing inflation is the growth of money and liquidity. However, from the post-Keynesian economists’ point of view, inflation increases the demand of money and subsequently liquidity. On the other hand, with an increase in the exchange rate, the government's expenses usually increase more than its income, which can lead to an increase in the government's budget deficit. Also, considering the existence of a monopoly in currency supply by the central bank, the hypothesis of using currency exchange revenues (the difference between free and budget-approved currency) will be applicable and this issue can raise the impact of the budget deficit on the exchange rate. Therefore, there has always been a serious challenge among economists as well as macroeconomic decision-makers about the connectedness between macroeconomic variables. What is the main driver of the network between macro variables? Is there a different way of communication in different thresholds of their growth rate? These cases show that it is very important to examine the time-varying interrelationships between these macroeconomic variables.
Accordingly, there is a complex connection between exchange rate, inflation, budget deficit and liquidity, which can be varied in different years. Therefore, in this research, using the TVP-TVAR technique, the time-varying connectedness across exchange rate, inflation, budget deficit and liquidity is examined during March, 2006 to August, 2023.
Methodology
In the current research, the relationship between exchange rate fluctuations, inflation, government budget deficit and liquidity based on monthly data using the TVP-TVAR technique is investigated. It should be noted that all the required information is extracted from the economic indicators of the central bank, and the government's budget deficit data from 2017 onward are extracted from Iran's Program and Budget Organization.
Findings
The results show that exchange rate and liquidity are, respectively, the largest net transmitter of volatilities in the network. Moreover, inflation rate and government budget deficit, respectively, are the largest net receivers of shocks from network. On average, the TCI is 23%, and more than 70% of this interrelationship between variables is explained by other factors such as political ones. Moreover, if the variables underestimated grow up to 36% annually (3% monthly), the connection between them will be cut off. In the conditions of decreasing the growth rate of variables up to -3% per month, the exchange rate has played a dominant role and its volatilities are transferred more strongly to inflation rate and less strongly to the budget deficit and liquidity.
If the growth rate of the variables is up to 24% annually (threshold of +2% monthly growth rate), the exchange rate volatilities are transferred to inflation and no interconnectedness between other variables is observed.
Discussion and Conclusion
Our results show that, on average, the total connectedness index from 2012 to 2016 has been upward, which is caused by the tightening of sanctions and the increase in inflationary expectations, psychological factors and emotions. Moreover, the connectedness between them is increased in 2018 and 2019, which is related to the intensification of sanctions and the reduction of currency supply and the increase in inflation and budget deficit and subsequently the increase in the issuance of debt securities in the capital market in order to manage the budget deficit and as a result increase liquidity. The results show that exchange rate is a main net transmitter of volatilities in most years and the inflation rate is a main net receiver of volatilities in many years. From 2016 onwards, the budget deficit is the net receiver of shocks from network in most periods, except for one period in 2019. It is interesting to note that in 2019, with the increase in the budget deficit and the issuance of debt securities, the budget deficit is transmitter, liquidity is receiver and inflation is more receiver variable than liquidity in the network. Totally, the results show that exchange rate is the major net transmitter of shocks to other macro variables.
Moreover, based on the results of the sensitivity analysis and thresholds effect, if the growth rate of variables is up to 24% annually (threshold of +2% monthly growth rate), the exchange rate fluctuations will be transferred to inflation and no connection between other components is observed. This shows that the macroeconomic management of the economy is very sensitive to the growth rate of the thresholds of the macroeconomic components, and before the political economy and also the factors of expectations and emotions dominated the economy, the macroeconomic management, especially the exchange rate, is required. Otherwise, it is impossible to manage the investigated variables with monetary and fiscal policies. Therefore, the managed floating exchange rate should be taken into consideration and if the goal is to manage the network using macroeconomic theories, the variables should not be allowed to increase by more than 24% annual growth. Other factors such as the political economy, and especially inflationary expectations will get the dominant role in the economy
One of the most important issues in Iran's economy is related to managing the exchange rate, inflation and budget deficit. During tightening of the sanctions, the oil revenues are limited which potentially leads to an increase in the budget deficit as well as a decrease in the currency supply which accelerates the exchange rate. On the other hand, with the increase in the budget deficit, the probability of borrowing from the banking system and also the issuance of bonds increases, which in turn rise the monetary base and liquidity. In addition, inflationary expectations also increase, which can be effective in improving assets prices. With an increase in inflation, based on the inflation-currency spiral, there is a possibility of a grow in exchange rate in order to maintain the competitiveness of domestic production. This can accelerate the price of imported commodities and cause domestic inflation again. With the increase in inflation and households spending, nominal wages will have a higher growth compared to normal conditions in order to maintain minimum purchasing power, which can again face the government with limited resources and more borrowing to meet current expenses. From the monetarists’ point of view and the classical economics, in general, the main stimulator in increasing inflation is the growth of money and liquidity. However, from the post-Keynesian economists’ point of view, inflation increases the demand of money and subsequently liquidity. On the other hand, with an increase in the exchange rate, the government's expenses usually increase more than its income, which can lead to an increase in the government's budget deficit. Also, considering the existence of a monopoly in currency supply by the central bank, the hypothesis of using currency exchange revenues (the difference between free and budget-approved currency) will be applicable and this issue can raise the impact of the budget deficit on the exchange rate. Therefore, there has always been a serious challenge among economists as well as macroeconomic decision-makers about the connectedness between macroeconomic variables. What is the main driver of the network between macro variables? Is there a different way of communication in different thresholds of their growth rate? These cases show that it is very important to examine the time-varying interrelationships between these macroeconomic variables.
Accordingly, there is a complex connection between exchange rate, inflation, budget deficit and liquidity, which can be varied in different years. Therefore, in this research, using the TVP-TVAR technique, the time-varying connectedness across exchange rate, inflation, budget deficit and liquidity is examined during March, 2006 to August, 2023.
Methodology
In the current research, the relationship between exchange rate fluctuations, inflation, government budget deficit and liquidity based on monthly data using the TVP-TVAR technique is investigated. It should be noted that all the required information is extracted from the economic indicators of the central bank, and the government's budget deficit data from 2017 onward are extracted from Iran's Program and Budget Organization.
Findings
The results show that exchange rate and liquidity are, respectively, the largest net transmitter of volatilities in the network. Moreover, inflation rate and government budget deficit, respectively, are the largest net receivers of shocks from network. On average, the TCI is 23%, and more than 70% of this interrelationship between variables is explained by other factors such as political ones. Moreover, if the variables underestimated grow up to 36% annually (3% monthly), the connection between them will be cut off. In the conditions of decreasing the growth rate of variables up to -3% per month, the exchange rate has played a dominant role and its volatilities are transferred more strongly to inflation rate and less strongly to the budget deficit and liquidity.
If the growth rate of the variables is up to 24% annually (threshold of +2% monthly growth rate), the exchange rate volatilities are transferred to inflation and no interconnectedness between other variables is observed.
Discussion and Conclusion
Our results show that, on average, the total connectedness index from 2012 to 2016 has been upward, which is caused by the tightening of sanctions and the increase in inflationary expectations, psychological factors and emotions. Moreover, the connectedness between them is increased in 2018 and 2019, which is related to the intensification of sanctions and the reduction of currency supply and the increase in inflation and budget deficit and subsequently the increase in the issuance of debt securities in the capital market in order to manage the budget deficit and as a result increase liquidity. The results show that exchange rate is a main net transmitter of volatilities in most years and the inflation rate is a main net receiver of volatilities in many years. From 2016 onwards, the budget deficit is the net receiver of shocks from network in most periods, except for one period in 2019. It is interesting to note that in 2019, with the increase in the budget deficit and the issuance of debt securities, the budget deficit is transmitter, liquidity is receiver and inflation is more receiver variable than liquidity in the network. Totally, the results show that exchange rate is the major net transmitter of shocks to other macro variables.
Moreover, based on the results of the sensitivity analysis and thresholds effect, if the growth rate of variables is up to 24% annually (threshold of +2% monthly growth rate), the exchange rate fluctuations will be transferred to inflation and no connection between other components is observed. This shows that the macroeconomic management of the economy is very sensitive to the growth rate of the thresholds of the macroeconomic components, and before the political economy and also the factors of expectations and emotions dominated the economy, the macroeconomic management, especially the exchange rate, is required. Otherwise, it is impossible to manage the investigated variables with monetary and fiscal policies. Therefore, the managed floating exchange rate should be taken into consideration and if the goal is to manage the network using macroeconomic theories, the variables should not be allowed to increase by more than 24% annual growth. Other factors such as the political economy, and especially inflationary expectations will get the dominant role in the economy
Mirfieyz Falah Shams, Mahmood Mohammadi,
Volume 11, Issue 2 (8-2011)
Volume 11, Issue 2 (8-2011)
Abstract
Price manipulation in the Tehran Stock Exchange has been one of the most widely discussed issues among academic and professional practitioners in recent years. In this article, we first calculated the abnormal Returns- significance difference between actual and risk-based adjusted expected returns- by using an autoregressive test, for all 130 accepted firms in the Tehran stock market during 2002-2006, which seemed to be manipulated, since they had experienced great fluctuations in their stock prices. For any firm, if changes in share prices are not at random and/or its stock prices are autocorrelated with the past ones, it can be concluded that the firm is under a price manipulation. In the next stage, we have developed a binary logit regression model for predicting the firms' price manipulation based on four factors i.e. the information transparency, the liquidity of the shares, the size (capital) of the firm and the P/E ratio. Finally, the model efficiency for predicting price manipulation in the Tehran Stock Exchange is validated by using appropriate statistical tests such as, The Wald, Likelihoods Function, and the Wilk's Lambda tests. The results showed that the model is efficient and robust for predicting the price manipulation (P<0.05, Wilk's Lambda=0.205; Cox & Snell R2=0.792 ,0.799; -2Log likelihood= 27.49).
Volume 11, Issue 20 (12-2007)
Abstract
Capital markets play important roles in economic development of countries and financial policy makers are very interested to have more information about the stock markets attractiveness for investors. One of the most important questions about the stock markets is about the relationship between the attraction of stock market investments with out-of-stock market investments. This paper aimed at investigating the relationship between the out of stock investments (bank deposits and governmental industrial development bonds investments) with the attractiveness of investing in Tehran Stock Exchange (market liquidity and capitalization). The results, at 95% confidence level, revealed that there is a significant positive association between these two markets (monetary and capital markets). The results also implied that investment in these two markets not only is not competitive but complementary.Accordingly, it is concluded that out-of-stock market investments do not reduce stock market investment attraction. This finding is very important when investors will build up a portfolio investment in Iranian markets.
Mohammad Vaez Barzani, Leila Torki, Naeimeh Jelvehgaran,
Volume 13, Issue 1 (4-2013)
Volume 13, Issue 1 (4-2013)
Abstract
With globalization getting momentum, capital inflow has been an instrument for economies to grow fast in recent decades. Hence, identifying the factors that affect capital inflow and outflow - net international capital mobility- would be desirable to achieve economic stability. As usual, one of the factors that influence on capital inflow is high return of capital. New experiments explore the crucial role of risk and liquidity intensive on net international capital mobility. So, the purpose of this study is to analyze the analytical impact of credit risk scoring on the net international capital mobility in Iran within the period of 1980-2009. To achieve credit risk scoring, the Fink's scoring model has been used to identify the determinants of credit risk. Then, the rank of each factor has been appeared separately and finally the country's credit risk scoring has been estimated. Then, the final model using time series data and ordinary least squares method are analyzed. The impact of liquidity, different return of inside and outside and credit risk on net international capital mobility in Iran are discussed at the end of the paper. The results show that all mentioned variables have an anticipated effect on net capital inflow.
Samad Aziznejad, Akbar Komijani,
Volume 17, Issue 1 (4-2017)
Volume 17, Issue 1 (4-2017)
Abstract
Exchange rate is the key variable in each economy. This paper tries to examine the effects of volatilities in exchange rate market on selected macroeconomic variables in Iran, and to present some strategic recommendations. Inspiring by Danmola method, this paper uses the variance decomposition and impulse response function based on Cholesky decomposition of Vector-autoregressive method. The findings show that real exchange rate volatility has the most effect on profit rate of the short-run deposits during 2001:Q1-2012:Q4. Following profit rate of short-run deposits, the highest variation in inflation rate is explained by real exchange rate volatility. The economic growth is affected positively by exchange rate volatility (EEV) in both short- and long-run, but it is influenced negatively by EEV in the midterm. On the other hand, trade balance is deteriorated by shocks in real exchange rate with short lags. Our findings are compatible with those of similar studies among developing countries.
Volume 17, Issue 3 (9-2013)
Abstract
In asset pricing and portfolio management the Fama-French three factor model is a model designed by Eugene Fama and Kenneth French to describe stock returns. The traditional asset pricing model, known formally as the Capital Asset Pricing Model, CAPM, uses only one variable, beta, to describe the returns of a portfolio or stock with the returns of the market as a whole. In contrast, the Fama–French model uses three variables. Fama and French started with the observation that two classes of stocks have tended to do better than the market as a whole: small caps and, stocks with a high book-to-market ratio, customarily called value stocks, contrasted with growth stocks. They then added two factors to CAPM to reflect a portfolio's exposure to these two classes Based on Fama and French about short term abnormal return in IPO's investors may fall in to traps by involving IPO's without considering fundamentals of stocks which would cause their loss, so this survey is conducted to study the liquidity and leverage effects beside Fama-French three factors on IPO's. this survey uses Amihood illiquidity measure and leverage ratio to explore the long run return (one year) considering (3 month) as short term. regression analysis showed among 5 major variables only market premium and size had significant relation with long run return.
Volume 18, Issue 2 (7-2014)
Abstract
The main objective of this study is investigating the relevance of momentum and liquidity market status on short-term (6 and 12 months), medium-term (24 months) and long-term (60 months) periods. Statistical sample in clouded 270 firms that were accepted during years 82-85 in Tehran Stock Exchange, and are still working. The results showed that liquidity market status is a factor for separation of the market's effects on excess returns in different periods of times. So that the momentum in the companies with high liquidity in 6 months formation and 6 & 12 months holding periods was positive, and the momentum in the companies with low liquidity in 24 & 60 months holding periods was negative. Also there was no significant difference between the profitability of momentum strategy in the companies with high and low liquidity.
Dr Hassan Dargahi, Maryam Mohammadzadeh,
Volume 19, Issue 3 (8-2019)
Volume 19, Issue 3 (8-2019)
Abstract
Households need to have a smooth level of consumption in order to maximize their utility. Among the factors influencing consumption smoothing are: the existence of a perfect capital market, lack of liquidity constraints and access to financial resources, so that individuals are able to borrow and lend in order to prevent their income and consumption fluctuations. This paper attempts to investigate the excess sensitivity of household consumption with emphasis on liquidity constraints in Iran using panel data related to two recessionary periods of 2013-2015 and the pre-recessionary period of 2010-2012. The results show that the excess sensitivity of consumption to current income is significant. This finding rejects the permanent income hypothesis based on rational expectations in Iran. The asymmetric impacts of the positive and negative growth rates of income on consumption confirm the liquidity constraints of households. Identification of the socioeconomic characteristics of households with higher sensitivity, especially during the recession of 2013-2014, suggests that households without access to or inadequate access to bank loans, the elderly-headed households, families headed by non-governmental employees, low-income and rural households are more sensitive to income in comparison to the other households.
Volume 19, Issue 124 (5-2022)
Abstract
The purpose of this study is modeling and the effect of economic shocks on stock returns of food industry during the period 2009 to 2020. In this research, the optimal macroeconomic variables on the stock returns of food companies are modeled using the genetic algorithm approximation function method and then the impulses and shocks of macroeconomic variables affecting the stock returns of food industries are analyzed by Auto regression method has been analyzed. Initially, using the genetic function approximation algorithm, four variables of OPEC oil price, liquidity volume, land price and stock price index were identified among the eight macroeconomic variables as influential variables in the optimal regression model. OPEC oil prices and land prices have a negative and significant effect on the stock returns of food companies, while the volume of liquidity and stock price index have a positive and significant effect on the stock returns of food companies. Given the response impulse functions, the stock return reaction to OPEC oil prices and liquidity was initially positive. In the analysis of variance method, the largest share is due to the shock of the food industry stock returns to itself, followed by the volume of liquidity. Given the positive impact of liquidity on the stock returns of food industry companies, it is suggested that policy makers and planners to implement policies to increase the volume of liquidity to food industry companies in order to develop food industry investment.
Mr. Alireza Kamalian, Dr Zahra Zamani, Mr. Mohammad Amirali, Mr. Mostafa Mobini Dehkordi,
Volume 20, Issue 3 (9-2020)
Volume 20, Issue 3 (9-2020)
Abstract
In recent decades, the inflation phenomenon has been one of the most important issues for Iranian economy. Regardless of its effects on economy, identifying the determinants of inflation has always been a challenge in all economies. Therefore, in order to compare the endogenous money theory with the quantity theory of money, this study analyzes the relationship between inflation and its determinants. To this end, the spectral analysis approach at high and low frequencies is applied during the period 1991: Q1 to 2018: Q1. The results show that there is the causality relationship from the growth of liquidity towards inflation as well as from inflation to liquidity in the short- term and long-term. In addition, there is the causality relationship from the monetary base growth to inflation in the long-term, while this causal relationship runs from monetary base growth towards inflation in the short-term. Moreover, the causality relationship from money multiplier growth to inflation is confirmed in the long-term. Consequently, the causes of inflation are different in the short- and long-term.
Mrs. Mina Naderi, Dr Arash Hadizadeh, Dr Akbar Mirzapour Babajan,
Volume 23, Issue 2 (5-2023)
Volume 23, Issue 2 (5-2023)
Abstract
Introduction
In developing countries, the shocks that enter the economy due to capital market fluctuations have more depth and durability. Because of the two-way connection between the stock market and the real sector of the economy and public attention to this market, examining the stock market shocks is of great importance. Therefore, the present study investigated the extreme fluctuations of the stock market index, which suspected the existence of bubbles. Timing of these bubbles in the market is one of the goals of this study, which was carried out by using the right-tailed unit root tests based on the augmented Dickey-Fuller test. A stock price bubble may be affected by monetary policy. This issue is influenced by the size of the bubble and the type and strength of the applied monetary policy. The impact of monetary policy fluctuations and especially interest rates on stock price bubbles is theoretically uncertain and should be determined empirically. Therefore, another goal of this study is to examine the effects of monetary policy shocks on the formation and timing of the stock market bubble.
Methodology
The method of Phillips et al. (2015) has been used to identify and time the stock market bubble. Galli and Gambeti model and TVP-SVAR method were also used to investigate the effect of monetary policy on the stock market bubble.
Results and Discussion
BSADF (Backward Supreme Augmented Dicky-Fuller) test has been used to determine the dates when the stock market had a bubble. According to this test, in three short periods, from July to September 2005, from April to May 2011, and from October to November 2018, the stock market behaved like a bubble. Regarding the impact of the interest rate shock on the stock market bubble, it can be said that the monetary expansion shock (decrease in the real interest rate) causes the bubble part of the stock price to become larger. In all periods, the response of the bubble part was positive, but over time, has increased, and since the beginning of the 2010s, its response to the shock of interest rate reduction has completely changed. The liquidity shock, also strengthens the size of the bubble. The amount of this influence has also increased greatly over time and has reached its peak in 2017 (the year of the formation of the price bubble in the stock market based on the BSADF test). Therefore, it can be claimed that the increase in the bubble part of the stock price was caused by a positive shock or an increase in liquidity. Regarding the effect of the credit shock on the stock market bubble, it can be said that credits has affected the fundamental part of the stock price, but it does not have much effect on the bubble part of the stock price. In fact, the increase in credits has caused the liquidity restrictions of economic enterprises to be removed and has an effect on their production and sales and finally on their profitability. Therefore, it is expected that with an increase in credits (positive credit shock), most of the fundamental part (current and future profitability) of companies will be affected.
Conclusion
During the last decade, the public attention to the stock market in Iran increased significantly. This issue caused the entry of new funds into this market, which was seen in the bubble-like behavior of the stock price index. In the conventional economic theory, the positive impact of expansionary monetary policies on the bubble is expected, but there are other theories that make the long-term impact of the monetary policy shock on the size of the bubble uncertain and dependent on factors such as the size of the bubble, the stability of the monetary policy, and the type of monetary tool. In order to solve this theoretical ambiguity, the effect of one of these cases, i.e., changing the monetary policy tool, on the stock price bubble was investigated. Before that, the existence of a bubble in the stock market had been checked. Regarding the impact of monetary shocks on the stock price bubble, according to the type of monetary policy instrument, the reaction of the stock price bubble has been different. Interest rate policy and liquidity have had a positive effect on the bubble, but credit policy has not had such an effect. In most of the developed economies, the interest rate change is the most powerful monetary policy tool, as a small change in it can have a large impact on the real sector of these economies. But in our country, according to the empirical findings of this article, the effect of liquidity on the stock market bubbles has been greater than the effect of changing the interest rates on it. This result is a proof of the dominance of liquidity over monetary policies in Iran.
Keywords: Monetary policy, interest rate, liquidity, stock market price bubble, Vector Autoregressive with Time Varying Parameter
JEL Classification: C22, E32, E44, G14
In developing countries, the shocks that enter the economy due to capital market fluctuations have more depth and durability. Because of the two-way connection between the stock market and the real sector of the economy and public attention to this market, examining the stock market shocks is of great importance. Therefore, the present study investigated the extreme fluctuations of the stock market index, which suspected the existence of bubbles. Timing of these bubbles in the market is one of the goals of this study, which was carried out by using the right-tailed unit root tests based on the augmented Dickey-Fuller test. A stock price bubble may be affected by monetary policy. This issue is influenced by the size of the bubble and the type and strength of the applied monetary policy. The impact of monetary policy fluctuations and especially interest rates on stock price bubbles is theoretically uncertain and should be determined empirically. Therefore, another goal of this study is to examine the effects of monetary policy shocks on the formation and timing of the stock market bubble.
Methodology
The method of Phillips et al. (2015) has been used to identify and time the stock market bubble. Galli and Gambeti model and TVP-SVAR method were also used to investigate the effect of monetary policy on the stock market bubble.
Results and Discussion
BSADF (Backward Supreme Augmented Dicky-Fuller) test has been used to determine the dates when the stock market had a bubble. According to this test, in three short periods, from July to September 2005, from April to May 2011, and from October to November 2018, the stock market behaved like a bubble. Regarding the impact of the interest rate shock on the stock market bubble, it can be said that the monetary expansion shock (decrease in the real interest rate) causes the bubble part of the stock price to become larger. In all periods, the response of the bubble part was positive, but over time, has increased, and since the beginning of the 2010s, its response to the shock of interest rate reduction has completely changed. The liquidity shock, also strengthens the size of the bubble. The amount of this influence has also increased greatly over time and has reached its peak in 2017 (the year of the formation of the price bubble in the stock market based on the BSADF test). Therefore, it can be claimed that the increase in the bubble part of the stock price was caused by a positive shock or an increase in liquidity. Regarding the effect of the credit shock on the stock market bubble, it can be said that credits has affected the fundamental part of the stock price, but it does not have much effect on the bubble part of the stock price. In fact, the increase in credits has caused the liquidity restrictions of economic enterprises to be removed and has an effect on their production and sales and finally on their profitability. Therefore, it is expected that with an increase in credits (positive credit shock), most of the fundamental part (current and future profitability) of companies will be affected.
Conclusion
During the last decade, the public attention to the stock market in Iran increased significantly. This issue caused the entry of new funds into this market, which was seen in the bubble-like behavior of the stock price index. In the conventional economic theory, the positive impact of expansionary monetary policies on the bubble is expected, but there are other theories that make the long-term impact of the monetary policy shock on the size of the bubble uncertain and dependent on factors such as the size of the bubble, the stability of the monetary policy, and the type of monetary tool. In order to solve this theoretical ambiguity, the effect of one of these cases, i.e., changing the monetary policy tool, on the stock price bubble was investigated. Before that, the existence of a bubble in the stock market had been checked. Regarding the impact of monetary shocks on the stock price bubble, according to the type of monetary policy instrument, the reaction of the stock price bubble has been different. Interest rate policy and liquidity have had a positive effect on the bubble, but credit policy has not had such an effect. In most of the developed economies, the interest rate change is the most powerful monetary policy tool, as a small change in it can have a large impact on the real sector of these economies. But in our country, according to the empirical findings of this article, the effect of liquidity on the stock market bubbles has been greater than the effect of changing the interest rates on it. This result is a proof of the dominance of liquidity over monetary policies in Iran.
Keywords: Monetary policy, interest rate, liquidity, stock market price bubble, Vector Autoregressive with Time Varying Parameter
JEL Classification: C22, E32, E44, G14
Dr Hossein Samsami Mazreeh Akhoond, Mr Ahmad Bakhtiyari,
Volume 24, Issue 2 (5-2024)
Volume 24, Issue 2 (5-2024)
Abstract
Introduction
The volume of the external money supply is determined by the policymaker, but the amount of money and liquidity will be influenced by the individual's decision to combine their portfolios and the behavior of banks (through lending channels and balance sheets) in the internal money supply. From this perspective, the initial change in external currency (monetary base) causes changes in the supply and demand of all types of assets (such as external and internal money) and their rate of return, and the behavior of individuals and banks determines the optimal composition of the portfolio of assets of individuals and banks and the new and balanced composition of liquidity volume. . Due to differences in the structure of the economy in different countries, the external currency itself can be created from different origins, the exogenous increase of each component of the central bank's asset column (monetary base) causes a change in the relative supply of that asset and its rate of return. Liquidity changes have different sources and are due to changes in the supply of different assets that make up different components of liquidity resources and since the components of liquidity resources are not of the same kind and originate from different processes can have different effects on the performance of macroeconomic variables. The purpose of this article is to analyze and investigate the mechanism of the effect of the components of liquidity resources on the macroeconomic variables of Iran. Changes in liquidity have different sources and are caused by changes in the supply of different assets that form different components of liquidity
sources and can have different effects on the performance of macroeconomic variables. For this purpose, a macroeconomic model by including the components of liquidity resources including net foreign assets of the central bank, net foreign assets of banks and non-bank credit institutions, net debt of the public sector to the central bank, net debt of the public sector to banks and non-bank credit institutions and Non-governmental sector debt is designed to show the relationships of economic variables in the framework of a dynamic stochastic general equilibrium model provides.
Methodology
The model presented in this research is a small open economy consisting of six sectors of households, firms, foreign sectors, banks and credit institutions, government and central bank within the framework of dynamic stochastic general equilibrium model of new Keynesians with respect to nominal and real frictions. By optimizing the objective functions of each of the above brokers, the result of the obtained economic relations is a system of nonlinear differential equations under rational expectations that are currently not empirically solvable, especially in larger patterns. But we can use approximation technique to calculate the model solution in the approximate range functionally. In this research, the set of equations is linear logarithmic using the Ahlik method (1999). In the next step, the input values of the pattern and calibration of parameters and variables have been done using the Iranian economy data during the period 2000-2020. Then, using the Dynar software, the system of equations based on the Bunchard-Kahn method is solved. The results of the statistical tests and moments indicate that the proposed model is suitable for simulating Iran's economy.
Results and Discussion
In order to evaluate the different effects of liquidity resources on economic variables, the reaction of these variables to liquidity component shocks based on instantaneous reaction functions has been investigated. The findings of the research show that the net assets of the banking system through balance of payments and net debt to the banking system through the channel of the state financial balance, if the source of liquidity is created, increases the variables of production, consumption and investment and causes mild growth or decrease of inflation and exchange rate variables. However, if the source of the liquidity creation of non-governmental debts is from the channel of facilitation, it has a decreasing effect on the variables of production, consumption and investment, and only increases inflation and exchange rate. The two sources of the net assets of the banking system and the net of government liabilities to the banking system, contrary to the source of non-governmental sector debt due to the creation of added value in the economy, have more productive effects and investment and less inflationary effects, hence, macroeconomic stability will bring.
Conclusion
The reaction of macroeconomic variables for the same liquidity growth based on instantaneous reaction functions shows that different components of liquidity sources have different effects on macroeconomic variables. These results carry the policy message that, in addition to liquidity management, attention to the developments in liquidity resources components is also important in the field of monetary policy. Considering that liquidity has increased by about 5% in all five components of liquidity components, the effects and implications of the five components of liquidity creation sources can be examined. Comparative results indicate that for the specific growth of liquidity, the increases caused by the net assets of the banking system and the net of public sector liabilities to the banking system have more productive and investment effects and less inflationary effects, hence macroeconomic stability. Therefore, it is recommended that the monetary transition policy as much as possible prevent the increase in non-governmental sector debt which leads to increased liquidity.
The volume of the external money supply is determined by the policymaker, but the amount of money and liquidity will be influenced by the individual's decision to combine their portfolios and the behavior of banks (through lending channels and balance sheets) in the internal money supply. From this perspective, the initial change in external currency (monetary base) causes changes in the supply and demand of all types of assets (such as external and internal money) and their rate of return, and the behavior of individuals and banks determines the optimal composition of the portfolio of assets of individuals and banks and the new and balanced composition of liquidity volume. . Due to differences in the structure of the economy in different countries, the external currency itself can be created from different origins, the exogenous increase of each component of the central bank's asset column (monetary base) causes a change in the relative supply of that asset and its rate of return. Liquidity changes have different sources and are due to changes in the supply of different assets that make up different components of liquidity resources and since the components of liquidity resources are not of the same kind and originate from different processes can have different effects on the performance of macroeconomic variables. The purpose of this article is to analyze and investigate the mechanism of the effect of the components of liquidity resources on the macroeconomic variables of Iran. Changes in liquidity have different sources and are caused by changes in the supply of different assets that form different components of liquidity
sources and can have different effects on the performance of macroeconomic variables. For this purpose, a macroeconomic model by including the components of liquidity resources including net foreign assets of the central bank, net foreign assets of banks and non-bank credit institutions, net debt of the public sector to the central bank, net debt of the public sector to banks and non-bank credit institutions and Non-governmental sector debt is designed to show the relationships of economic variables in the framework of a dynamic stochastic general equilibrium model provides.
Methodology
The model presented in this research is a small open economy consisting of six sectors of households, firms, foreign sectors, banks and credit institutions, government and central bank within the framework of dynamic stochastic general equilibrium model of new Keynesians with respect to nominal and real frictions. By optimizing the objective functions of each of the above brokers, the result of the obtained economic relations is a system of nonlinear differential equations under rational expectations that are currently not empirically solvable, especially in larger patterns. But we can use approximation technique to calculate the model solution in the approximate range functionally. In this research, the set of equations is linear logarithmic using the Ahlik method (1999). In the next step, the input values of the pattern and calibration of parameters and variables have been done using the Iranian economy data during the period 2000-2020. Then, using the Dynar software, the system of equations based on the Bunchard-Kahn method is solved. The results of the statistical tests and moments indicate that the proposed model is suitable for simulating Iran's economy.
Results and Discussion
In order to evaluate the different effects of liquidity resources on economic variables, the reaction of these variables to liquidity component shocks based on instantaneous reaction functions has been investigated. The findings of the research show that the net assets of the banking system through balance of payments and net debt to the banking system through the channel of the state financial balance, if the source of liquidity is created, increases the variables of production, consumption and investment and causes mild growth or decrease of inflation and exchange rate variables. However, if the source of the liquidity creation of non-governmental debts is from the channel of facilitation, it has a decreasing effect on the variables of production, consumption and investment, and only increases inflation and exchange rate. The two sources of the net assets of the banking system and the net of government liabilities to the banking system, contrary to the source of non-governmental sector debt due to the creation of added value in the economy, have more productive effects and investment and less inflationary effects, hence, macroeconomic stability will bring.
Conclusion
The reaction of macroeconomic variables for the same liquidity growth based on instantaneous reaction functions shows that different components of liquidity sources have different effects on macroeconomic variables. These results carry the policy message that, in addition to liquidity management, attention to the developments in liquidity resources components is also important in the field of monetary policy. Considering that liquidity has increased by about 5% in all five components of liquidity components, the effects and implications of the five components of liquidity creation sources can be examined. Comparative results indicate that for the specific growth of liquidity, the increases caused by the net assets of the banking system and the net of public sector liabilities to the banking system have more productive and investment effects and less inflationary effects, hence macroeconomic stability. Therefore, it is recommended that the monetary transition policy as much as possible prevent the increase in non-governmental sector debt which leads to increased liquidity.
Dr Amineh Mahmoudzadeh, Mr Kamyab Rajabizadeh, Dr Majid Einian,
Volume 24, Issue 4 (12-2024)
Volume 24, Issue 4 (12-2024)
Abstract
Aim and introduction
The conventional notion of the permanent income hypothesis is that individuals aim to smooth their consumption over time, demonstrating resistance to fluctuations in income. This foundational concept assumes that individuals utilize savings or credit when faced with expected income changes or temporary income shocks, preserving their ultimate well-being. However, empirical evidence challenges this hypothesis, revealing that consumers often exhibit responsiveness to income changes, both expected and temporary. This phenomenon is called "excess sensitivity of consumption". Various factors underpin this apparent excess sensitivity of consumption, encompassing demographic dynamics, labor market decisions, reliance on aggregated data, superior information within households, income measurement inaccuracies, and liquidity constraints.
Methodology
This study employs the Panel-IV method to estimate the coefficient of excess sensitivity of consumption. It utilizes two financial development indicators, namely access to financial services and financial depth, to evaluate their impact on this coefficient. The significance of this investigation lies in the Iranian economic history, which witnessed financial development in the late 1990s, followed by a financial downturn. The data are derived from household income and expenditure surveys conducted by the Iranian Statistical Center. The analysis encompasses the years 2004 to 2020. These surveys incorporate data on various aspects of household’s financial information, including the amount and number of loans received and essential details about their employment status.
Due to the cross-sectional nature of the data, it is imperative to use a pseudo-panel approach, providing several advantages. First, it eliminates the individual-specific measurement errors. Second, it mitigates the issues arising from the short time series data, which can lead to estimation errors. Previous research has estimated the coefficient of excess sensitivity of consumption. However, this study contributes by examining the effects of financial development on consumption smoothing in the Iranian economy. Notably, previous research in Iran focused solely on estimating the coefficient of excess sensitivity of consumption without investigating the influence of financial development.
Findings
The findings indicate the excess sensitivity of consumption coefficient is 0.266 for the Iranian households. In practical terms, a 10% expected increase in income results in a 2.66% increase in consumption. This finding indicates liquidity constraints faced by the Iranian households. Such constraints may manifest as limitations on borrowing amounts or high interest rates, leading individuals to opt for non-borrowing. The examination of financial development reveals a negative and significant relationship between improved financial access and depth and the coefficient of excess sensitivity of consumption. Specifically, a 10% improvement in the average loan amount and loan-to-income ratio (financial depth indicators) results in 12.5% and 13% reductions, respectively, in the coefficient of excess sensitivity of consumption. Additionally, a 10% enhancement in the average number of loans received by households (financial access indicator) leads to an impressive 20.5% reduction in the coefficient of excess sensitivity of consumption.
Discussion and Conclusion
This study challenges the traditional concept of permanent income hypothesis while emphasizing the importance of understanding excess sensitivity of consumption in economic research. Furthermore, it underscores the role of financial development, characterized by improved access to credit and financial services, in diminishing households' vulnerability to income fluctuations. These results hold substantial implications for policymakers and researchers alike, offering insights into addressing income volatility and its effects on household consumption in Iran and similar economies
The conventional notion of the permanent income hypothesis is that individuals aim to smooth their consumption over time, demonstrating resistance to fluctuations in income. This foundational concept assumes that individuals utilize savings or credit when faced with expected income changes or temporary income shocks, preserving their ultimate well-being. However, empirical evidence challenges this hypothesis, revealing that consumers often exhibit responsiveness to income changes, both expected and temporary. This phenomenon is called "excess sensitivity of consumption". Various factors underpin this apparent excess sensitivity of consumption, encompassing demographic dynamics, labor market decisions, reliance on aggregated data, superior information within households, income measurement inaccuracies, and liquidity constraints.
Methodology
This study employs the Panel-IV method to estimate the coefficient of excess sensitivity of consumption. It utilizes two financial development indicators, namely access to financial services and financial depth, to evaluate their impact on this coefficient. The significance of this investigation lies in the Iranian economic history, which witnessed financial development in the late 1990s, followed by a financial downturn. The data are derived from household income and expenditure surveys conducted by the Iranian Statistical Center. The analysis encompasses the years 2004 to 2020. These surveys incorporate data on various aspects of household’s financial information, including the amount and number of loans received and essential details about their employment status.
Due to the cross-sectional nature of the data, it is imperative to use a pseudo-panel approach, providing several advantages. First, it eliminates the individual-specific measurement errors. Second, it mitigates the issues arising from the short time series data, which can lead to estimation errors. Previous research has estimated the coefficient of excess sensitivity of consumption. However, this study contributes by examining the effects of financial development on consumption smoothing in the Iranian economy. Notably, previous research in Iran focused solely on estimating the coefficient of excess sensitivity of consumption without investigating the influence of financial development.
Findings
The findings indicate the excess sensitivity of consumption coefficient is 0.266 for the Iranian households. In practical terms, a 10% expected increase in income results in a 2.66% increase in consumption. This finding indicates liquidity constraints faced by the Iranian households. Such constraints may manifest as limitations on borrowing amounts or high interest rates, leading individuals to opt for non-borrowing. The examination of financial development reveals a negative and significant relationship between improved financial access and depth and the coefficient of excess sensitivity of consumption. Specifically, a 10% improvement in the average loan amount and loan-to-income ratio (financial depth indicators) results in 12.5% and 13% reductions, respectively, in the coefficient of excess sensitivity of consumption. Additionally, a 10% enhancement in the average number of loans received by households (financial access indicator) leads to an impressive 20.5% reduction in the coefficient of excess sensitivity of consumption.
Discussion and Conclusion
This study challenges the traditional concept of permanent income hypothesis while emphasizing the importance of understanding excess sensitivity of consumption in economic research. Furthermore, it underscores the role of financial development, characterized by improved access to credit and financial services, in diminishing households' vulnerability to income fluctuations. These results hold substantial implications for policymakers and researchers alike, offering insights into addressing income volatility and its effects on household consumption in Iran and similar economies
Volume 29, Issue 1 (3-2022)
Abstract
Changing the business model of banks, entering new markets, changing the nature of traditional and classic systems to digital banking and the emergence of fintechs and startups in the banking sector on the one hand and the lack of a comprehensive view in the field of identification and Risk control, on the other, have increased the concern and risk of banks. In this paper, using the standards of the Banking Supervision Committee, the effect of intra-bank and extra-bank risk factors by data panel econometric model on capital adequacy as an indicator of bank risk management in the period 2012-2018 in listed banks (10 banks) tested and analyzed. The results of the assumptions showed that all risk indicators studied have a significant effect on the capital adequacy of banks, in addition to the risk of balance sheet structure as shown in the financial crisis of 2007-2008, also threatened by macroeconomic risk.
Volume 31, Issue 1 (9-2024)
Abstract
Changes in banking business model, entering new markets, switching traditional and classical systems' nature to electronic banking and entering digital banking, as well as the emergence of FinTechs and startups in the banking industry on the one hand and the lack of a comprehensive view and inclusive in the field of risk identification and control, on the other hand, increased the concern and risk of banks. What is certain is that the process and manner of change do not indicate a secure future. Therefore, the present study aims to provide a comprehensive classification of types of risks in the Iranian banking industry. The statistical sample includes the number of thirty selected experts and risk experts in the banking industry who selected by sampling method based on systematic elimination. Twenty final indicators determined for risk classification in the banking industry from among 68 extractive components obtained from literature review, obtained by repeating the Delphi method three times in 1399-1400 period. The results showed that the proposed classification of banking risk includes financial risk, operational risk, economic risk, socio-political risk, compliance risk, and knowledge and technology risk. The validating results through the Delphi technique showed that Cronbach's alpha coefficient for the third round was equal to 0.899 and indicated that all indicators were significant and valid and there was a high level of consensus among experts.
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