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Showing 4 results for Inflation Rate
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
, Majid Aghaei, Mohammad Rezaeepour,
Volume 9, Issue 1 (4-2009)
Volume 9, Issue 1 (4-2009)
Abstract
Exchange rate and inflation rate consistently affect stock price and the return on stocks. Since such effects could impact income distribution, it is important to study such issue carefully. In this paper an attempt is made to study the impact of exchange rate and inflation rate on the real returns as well as the stock price index in Tehran stock market. In this paper, we use a vector autoregreesion (VAR) model as well a vector error correction model (VECM) to examine the relationship among variables. This study uses monthly data from 1983M4 through 2007M3. The results indicate that there exists a stable long–run relationship among the variables included in the model. Exchange rate and inflation rate positively affect the real rate of stock return. However, the impact of inflation rate is stronger than the impact of the exchange rate.
Karim Emami, Mitra Olia,
Volume 12, Issue 1 (5-2012)
Volume 12, Issue 1 (5-2012)
Abstract
The purpose of this paper is estimating output gap as one of the variables that affect inflation in the Iranian economy. Therefore, using seasonal data from spring 1989 to winter 2006 and through Hodrick-Prescott filtering techniques the potential output and output gap are estimated and then ordinary least squares approach has been used to find out the relationship between inflation and output gap. Variables such as exchange rates, price index of imported goods, and the adjusted output gap as real variables and expected future inflation have been used for estimating the model considering the facts and theories in the Iranian economy. This test has been done through the rational expectation hypothesis of an enterprise and using a new Keynesian Phillips curve. The research findings verify the new Keynesian opinion. Thus, in Iran where the average rate of inflation in the period, is 19.6% and therefore considered among the countries with galloping rate of inflation, Phillips curve has been estimated with a relatively steep slope. In the long run, the steep Phillips curve according to Keynesians implies that in case of demand shock, the production will increase and compared with the new classic models it has less impact on inflation.
Dr Seyedkamal Sadeghi, Dr Amirali Farhang, Mr Ali Mohammadpour, Mr Milad Hajibolnd,
Volume 24, Issue 2 (5-2024)
Volume 24, Issue 2 (5-2024)
Abstract
Introduction
The tourism industry is one of the main factors of economic growth and improvement of social welfare in many developed and developing countries, stimulation of foreign investment, foreign exchange income, development of infrastructure, creation of job opportunities, and social interaction among tourists. Tourism promotes globalization and international cooperation between countries and increases awareness of environmental protection. The performance of tourism depends on the level of development of the industry. Countries with developed tourism, experience a much greater economic growth compared to the countries with less developed tourism industry. Several factors affect the development of tourism industry. For example, tourism needs an advanced transportation network and other facilities to facilitate the movement of tourists from their own countries to the host countries and also within the host country. Therefore, the physical infrastructure is considered an important determining factor in the arrival of tourists. The current research examines the factors influencing the development of the tourism industry from other perspectives. The existing literature shows that tourism is vulnerable and prone to political risks related to poor governance strategies, crime, conflicts, political instability, corruption, and terrorism. High levels of political risk make countries inaccessible to international tourists, making visiting those countries seem highly risky and expensive at the same time. In addition to the mentioned items, other factors such as inflation rate, exchange rate fluctuations and real exchange rate affect the tourism industry. In case of currency devaluation in the host country, the visiting rate will increase as tourism products and services in the country become relatively cheap for tourists from countries with strong currencies. Another parameter in this regard is inflation category where there is a close correlation between the purchasing power of consumers, and rampant inflation rate. When the purchasing power of tourists decreases, they lose interest to travel to such destinations where life and travel expenditures are rather expensive and hardly affordable. However, when inflation decreases, more tourists visit the host country, where the cost of living and transportation is far cheaper.
The research findings have shown that tourism has played a vital role in many low-income countries like Iran. Over the recent years, the country has experienced severe fluctuations in the exchange rate and inflation rate. The accurate validation of exchange rate policies, inflation rate, and political risk is not only useful in the academic field but also for policymakers in practice to support the activity. The current research is innovative in terms of the subject and the econometric methods used. The research hypotheses are as follows: 1- There is a negative and significant relationship between political risk and tourism development. 2- There is a positive and significant relationship between the exchange rate and tourism development. 3- There is a negative and significant relationship between the inflation rate and tourism development.
Methodology
This research analyzes the effects of political risk, exchange rate, and inflation rate on the development of tourism in the case of Iran in the period of 2000-2021 and uses the non-linear econometric approach (NARDL) to estimate the short-term and long-term coefficients. To perform statistical and econometric analysis, Eviews 13 software was used. The QARDL method is also used to check the robustness of the results.
Findings
Short-term and long-term evaluations of NARDL model shows that the effect of a positive exchange rate shock on tourism development is positive and significant both in the short and long term, while the effect of a negative exchange rate shock on tourism development in both the short and long term is negative and significant. In the case of political risk and inflation rate, the results are the opposite of the exchange rate, so the impact of the positive shock of political risk and inflation rate on the development of tourism is negative and significant both in the short and long term, while the effect of the negative shock of political risk and inflation rate on it is positive and significant. The results of long-term and short-term estimates are consistent and differ only in the size of influence in terms of coefficients, and they confirm the hypothesis of the present study. The biggest impact in the short term, with a reduction factor of 0.611, is related to the inflation rate. In the long term, the greatest impact with a reduction factor of 0.790 units is related to the positive shock of political risk.
Discussion and Conclusion
The tourism economics literature has conclusively proved that tourism entering a country leads to economic development in the destination country. According to the reports of the World Tourism Organization (2018), tourism is the third largest industry in terms of global export earnings. Based on the results of this research, the following recommendations are suggested: Institutional reforms can help strengthen the economy of countries with low-quality institutions, and policymakers should consider the conditions of the tourism industry when setting country stabilization strategies. The increase in the inflation rate in recent years destroys the advantage of being cheap to travel to Iran due to the increase in the exchange rate, so policymakers should consider controlling the inflation rate.
The tourism industry is one of the main factors of economic growth and improvement of social welfare in many developed and developing countries, stimulation of foreign investment, foreign exchange income, development of infrastructure, creation of job opportunities, and social interaction among tourists. Tourism promotes globalization and international cooperation between countries and increases awareness of environmental protection. The performance of tourism depends on the level of development of the industry. Countries with developed tourism, experience a much greater economic growth compared to the countries with less developed tourism industry. Several factors affect the development of tourism industry. For example, tourism needs an advanced transportation network and other facilities to facilitate the movement of tourists from their own countries to the host countries and also within the host country. Therefore, the physical infrastructure is considered an important determining factor in the arrival of tourists. The current research examines the factors influencing the development of the tourism industry from other perspectives. The existing literature shows that tourism is vulnerable and prone to political risks related to poor governance strategies, crime, conflicts, political instability, corruption, and terrorism. High levels of political risk make countries inaccessible to international tourists, making visiting those countries seem highly risky and expensive at the same time. In addition to the mentioned items, other factors such as inflation rate, exchange rate fluctuations and real exchange rate affect the tourism industry. In case of currency devaluation in the host country, the visiting rate will increase as tourism products and services in the country become relatively cheap for tourists from countries with strong currencies. Another parameter in this regard is inflation category where there is a close correlation between the purchasing power of consumers, and rampant inflation rate. When the purchasing power of tourists decreases, they lose interest to travel to such destinations where life and travel expenditures are rather expensive and hardly affordable. However, when inflation decreases, more tourists visit the host country, where the cost of living and transportation is far cheaper.
The research findings have shown that tourism has played a vital role in many low-income countries like Iran. Over the recent years, the country has experienced severe fluctuations in the exchange rate and inflation rate. The accurate validation of exchange rate policies, inflation rate, and political risk is not only useful in the academic field but also for policymakers in practice to support the activity. The current research is innovative in terms of the subject and the econometric methods used. The research hypotheses are as follows: 1- There is a negative and significant relationship between political risk and tourism development. 2- There is a positive and significant relationship between the exchange rate and tourism development. 3- There is a negative and significant relationship between the inflation rate and tourism development.
Methodology
This research analyzes the effects of political risk, exchange rate, and inflation rate on the development of tourism in the case of Iran in the period of 2000-2021 and uses the non-linear econometric approach (NARDL) to estimate the short-term and long-term coefficients. To perform statistical and econometric analysis, Eviews 13 software was used. The QARDL method is also used to check the robustness of the results.
Findings
Short-term and long-term evaluations of NARDL model shows that the effect of a positive exchange rate shock on tourism development is positive and significant both in the short and long term, while the effect of a negative exchange rate shock on tourism development in both the short and long term is negative and significant. In the case of political risk and inflation rate, the results are the opposite of the exchange rate, so the impact of the positive shock of political risk and inflation rate on the development of tourism is negative and significant both in the short and long term, while the effect of the negative shock of political risk and inflation rate on it is positive and significant. The results of long-term and short-term estimates are consistent and differ only in the size of influence in terms of coefficients, and they confirm the hypothesis of the present study. The biggest impact in the short term, with a reduction factor of 0.611, is related to the inflation rate. In the long term, the greatest impact with a reduction factor of 0.790 units is related to the positive shock of political risk.
Discussion and Conclusion
The tourism economics literature has conclusively proved that tourism entering a country leads to economic development in the destination country. According to the reports of the World Tourism Organization (2018), tourism is the third largest industry in terms of global export earnings. Based on the results of this research, the following recommendations are suggested: Institutional reforms can help strengthen the economy of countries with low-quality institutions, and policymakers should consider the conditions of the tourism industry when setting country stabilization strategies. The increase in the inflation rate in recent years destroys the advantage of being cheap to travel to Iran due to the increase in the exchange rate, so policymakers should consider controlling the inflation rate.
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