markov-switching model

Governments pursue macroeconomic objectives such as stabilizing the economy by employing fiscal policy tools. However, fiscal sustainability is obligatory for achieving economic stability. This research, utilizing linear and nonlinear fiscal reaction functions, including quadratic and cubic, time-varying parameter and Markov-switching fiscal regime change functions, measures the fiscal sustainability of the Iranian government and its determinants in the period 1970-2021. Based on the findings of this research, the government debt-to-GDP ratio in linear and nonlinear models is negative and insignificant, but in the model with control variables, it is negative and strongly significant. Hence, the model with control variables results in the unsustainability of Iran's fiscal policy. The results of Markov-switching fiscal regime change model reveals the existence of two fiscal regimes in Iran's fiscal policy. An unsustainable fiscal regime, in which the reaction of the primary budget balance to the public debt is negative and significant, and a sustainable fiscal regime in which the reaction of the primary budget balance to the public debt is positive but insignificant. Also, the results of the Markov-switching fiscal regime change model demonstrates that the average filtered and smoothed transmission probabilities of remaining in unsustainable fiscal regime is higher than that of sustainable fiscal regime, which indicates that Iran's fiscal policy has been unsustainable. Based on the results of the time-varying parameter model, the reaction of the primary budget balance to the debt expansion has been negative and diminishing, therefore, debt reduction has not been the priority of governments in Iran, and as a result, Iran's fiscal policy has been proceeding in the unsustainable direction.

 A balanced government budget plays a decisive role in the stability of the macroeconomics, and the continuous budget deficit puts the stability of the economy at risk. A budget deficit transpires when the expansion in government expenditures exceeds the growth in government revenue. On the other hand, one of the reasons for the government debt enlargement is the continuous budget deficit. Permanent budget deficit has harmful effects on the economy. Therefore, economists recommend that the government should prevent excessive increase in debt by maintaining a sustainable fiscal policy. Fiscal policy is sustainable when the government reacts to the debt swelling by creating an adequate budget surplus. On the contrary, unsustainable fiscal policy causes crises such as suboptimal allocation of resources, failure in financial markets and high inflation rates. Iran's economy has always been struggling with the permanent budget deficit and high debt stocks. The major motive for this is the dependence of the Iranian government's revenues on the sale of crude oil and its products, because with the decrease in oil revenues, the government resorted to borrowing to compensate for its budget deficit, resulting in debt accretion. Therefore, it is necessary to understand the perspective of fiscal sustainability in Iran. The objective of this research is to assess Iran's government fiscal sustainability and its influential factors by employing annual data of Iran's economy from 1971 to 2022 and by utilizing constant parameter fiscal reaction functions including linear and non-linear models, time-varying parameter fiscal reaction function, Markov-switching fiscal regime change model and fiscal reaction function including control variables.

The existing literature about fiscal sustainability in Iran, has mainly examined fiscal sustainability in the framework of constant parameter linear fiscal reaction function. This research assesses different models of fiscal reaction function, such as constant parameter linear and non-linear models, time-varying parameter models and Markov-switching fiscal regime change models regarding Iran's fiscal sustainability. It also evaluates the dominant variables affecting Iran's fiscal sustainability.

In this research, firstly, the Iran's government fiscal sustainability is tested through the constant parameter linear and non-linear fiscal reaction functions, and to identify the variables affecting fiscal sustainability, the model including control variables is utilized. Then the Markov-switching fiscal regime change model and the time-varying parameter fiscal reaction function are estimated. Among the constant parameter linear and non-linear models, only the linear model including control variables has a significant debt-to-GDP ratio coefficient, which its sign is negative. Hence, it indicates that the fiscal policy implemented in Iran is unsustainable. The Markov-Switching fiscal regime change model shows the existence of two fiscal regimes, one unsustainable fiscal rgime where the reaction of the primary budget balance to public debt is significant and negative and one sustainable fiscal regime where the reaction of the primary budget balance to public debt is insignificant and positive. Also, the results show that the expected duration of the unsustainable fiscal regime is longer than the expected duration of the sustainable fiscal regime. The results of the time-varying parameter model show that the trend of the smoothed changes of the time-varying parameter is downward during the time, therefore, Iran's fiscal policy has proceeded in an unsustainable direction.

The results of the model including the control variables and the time-varying parameter model and the Markov-switching fiscal regime change model show that Iran's fiscal policy is unsustainable. Also, on the basis of this research findings, the variables of the output gap, the government revenue to GDP ratio and exchange rate fluctuation have a positive impact, and the variables of the government real cyclical expenditure and the old population ratio have a negative impact on the fiscal sustainability in Iran. Based on the results of this research, the government debt reduction has not been the priority of the governments in Iran. This has caused unsustainable fiscal policy which in turn, made the Iranian economy more and more vulnerable with regard to external shocks. While developing revenue sources and reducing dependence on oil revenues, the government should reduce its borrowing and therefore decrease the public debt and take steps towards sustainable fiscal policy to help achieving economic stability and sustainable growth in the long-term

Any illegal attempt by economic operators to avoid paying taxes or to pay them less is called tax evasion. The appearance and expansion of this phenomenon, along with the uncertainty in macroeconomic variables, as well as the uncertainty of economic policies, has caused significant direct and indirect negative effects on the economy of the countries suffering from the aforementioned problems in recent decades. Therefore, it is necessary to adopt a set of coherent policies in order to monitor and deal with these problems. This research first calculates the uncertainty of economic policies by the standard deviation of monetary and financial policies and the uncertainty of exchange rates and inflation using the GARCH-ARCH method, then the variables of the political effects of sanctions and financial crises, the corruption control index and introduced the quality of regulations as a fictitious variable into the model and finally using the Markov switching model to examine the relationship between the uncertainty of economic policies and the effective tax rate with tax evasion in Iran by separating boom and recession periods, during the period it covers the period from 1373 to 1399. The estimation results of the model show the positiveness of the uncertainty coefficients of exchange rate and inflation, the effect of sanctions, the effective tax rate and the uncertainty of economic policies in periods of boom and recession.

Oil production sustainability has always been the primary purpose of producers and consumers. However, achieving this objective turned into a challenge due to economic uncertainties and geopolitical risks. In this study, the Markov-Switching model has been applied to investigate the impact of economic uncertainties and geopolitical risks on Iran's and Saudi Arabia's oil production. The main results indicated that two regimes, including the ascending and descending regimes. Moreover, the economic uncertainties and geopolitical risks negatively and statistically impact Iran's oil production in both states; these variables similarly influence Saudi Arabia's oil production. According to these results, both countries should reduce the traditional rivalry and detente with each other to reach their long-term goals, such as maximizing their oil production revenue.

The import of Barley, as one of the main inputs of animal feed, has done by a preferential exchange rate during 2018 to 2019. The main question is whether this allocation was able to be transferred to its price or not. To answer this question, time series data with monthly frequency of the price of barley, its world price and the official exchange rate during the period of Farvardin 2009 to Azar 2019 and the nonlinear model of Markov switching regime change (MSIAH) have been used. The results indicated that for the barley, the exchange rate has passed in three (3) different regimes and asymmetrically. Also, in none of the regimes, complete transition did not occur and the regimes identified were stable. In the short term, exchange rate to barley price in the first regime was significant and equal to two percent (2%). In the long term, the rate of passing in this regime was equal to four percent (4%). Due to the fact that the price of Barley, the amount and the period of passing of the preferred exchange rate have been very low and short, therefore it is suggested to refrain from re-allocating the currency with any preferential rate to this input. Since the cost of red meat production increases with the liberalization of the barley import rate, it is suggested to pay compensation to households as the final link of consumption and to help finance the producers as the demanders of imported inputs.

The impact of trade openness on macroeconomic variables holds special importance for developing countries. The ultimate effect of trade openness on exchange rate market volatility as an indicator of macroeconomic stability is a subject of debate. This issue becomes more complex for countries rich in natural resources. Therefore, this study aims to provide a new insight into the non-linear impact of trade openness on exchange rate volatility in the Iranian economy using the Markov switching method. The research findings indicate that during the time period 1974-2022, the effect of trade openness on exchange rate instability is dependent on the volatility in the currency market. Specifically, when currency market instability is low, trade openness has no significant effect on exchange rate instability. However, during periods of high currency market instability, trade openness amplifies the instability in the market. This finding may be attributed to the combination of exports and imports, anchoring exchange rate, and the response of monetary policy to currency market fluctuations and nominal variables.

The purpose of this article is to investigate the effect of the financial stress index (FSI) on the returns of mutual funds (separately including mutual funds and mixed mutual funds) in Iranian capital market during 2011-2021 on a monthly basis. For this purpose, the principal component analysis method is used to construct the financial stress index, and the effect of financial stress on the returns of mutual funds in two regimes of high return and low return was investigated using the Markov switching model. Results show that the financial stress in the high return regime has a negative effect on the return of investment funds in stocks and mixed. In a regime with low return, financial stress has had a positive effect on the return of investment funds in stocks and mixed. Despite the same direction of the effect of financial stress on the performance of both types of studied funds, this situation indicates the asymmetry information in the effect of financial stress on the return of investment funds.

monitoring and measuring periods of financial instability became particularly important, and measuring financial stress has found a special place among policymakers and economic agents. Due to the nature of the banking system in the Iranian economy and the tight control of the government over it, although banking crises such as the banking invasion have never been observed in Iran, but the Iranian banking system has experienced crises at different times. In this study, with the help of bank stock prices, the stress index of the banking sector in the Iranian economy has been calculated and the factors affecting it in different oil price regimes have been identified. The results show that (1) the highest amount of stress in the banking sector is related to the winter of 1391 and spring and 1397 and the lowest amount of stress in the banking sector is related to the summer of 1390, winter of 1394 and spring of 1395.(2) In periods when oil prices are high, the variables of total banking system claims, total liquidity and private sector investment in new buildings in urban areas are stress drivers in the banking sector and in contrast to bank-reducing facilities. Stress is in this area

Crises stemming from the financial sector of economy and their possible effects on the structures of the real sector of economy including total factor productivity (TFP), labor productivity, employment and economic growth are the principal problem statement of the present study. To analyze of this problem two non-linear models have been specified. Both of them employ Iran’s macro data as well as indices generated using approaches like State-space models, over the 1985-2020 period. The first model, utilizing Markov-Switching model, beside the covering of the the crisis effects, captures the dynamics and persistence of the shocks on the dependent variable. The second one, for the robustness checking of the previous model, tries to narrow its concentration on, and by a general and theoretical specification examines, the non-linear effects of the independent variables. This model is estimated using non-linear least squares (NLS) estimators. Study results, verifying the dynamics of all dependent variables, show that both models highlight the negative and significant effect of the currency crisis.  Also, the persistence of the adverse effects cannot be rejected. Under the second model when the interrelation effect of currency crisis and credit contractions is included into the model the effects become more deteriorating. Furthermore, the nonlinear effect of research and development and mitigating heinous effects of crisis by other controlling variables cannot be rejected. Theses results have some saliant policy implications for Iran’s Economy.

Increased spending has been one of the main concerns of the financial policies for various countries in the last two decades. Specifically, in those countries where the debt is at relatively high levels, examining the financial sustainability becomes more crucial; since high levels of debt limit the government's choices in issuing debt, imposing taxes, and printing money to correct the deficit. Therefore, one of the criteria for evaluating financial policies is the sustainability of financial policy. This study attempts to estimate the coefficient of influence of the variables affecting the financial balance of the Iranian government in stable and unstable financial regimes for the period 1971-2019. To this end, the financial balance was considered as a dependent variable in the regimes, and the estimated coefficient of the first interval of the debt-to-GDP ratio variable was chosen as the determining factor. Five states of the research model were estimated by considering different explanatory variables and the best fit was selected.  The results showed that both stable and unstable regimes have a high probability of permanence, and the absolute value of the first lag coefficient of the debt-to-GDP ratio variable is significantly higher in the instable regime than in the stable regime. Thus, the greater reduction effect of the ratio of debt to GDP of the previous period on the financial balance of the government in the unstable regime compared to its increasing effect in the stable regime; also, during the period of time, the stable financial regime can be the dominant financial regime and it can be said that the NPG condition (No Ponzi game condition) is valid in this era.In this study, the estimation of the financial balance of the government of Iran in sustainable and unsustainable financial regimes in the period of 1971 to 2019 has been done in the form of Markov-switching model. For this purpose, the financial balance was estimated as a dependent variable in the regimes, and the estimated coefficient of the first lag of the debt-to-GDP ratio variable was chosen as the determining factor of the regime. 5 states of the model were estimated by considering different explanatory variables and the best fit (estimate) was selected. The obtained results showed that both sustainable and unsustainable regimes have a high probability of permanence and the absolute value of the coefficient of the first lag of the debt-to-GDP ratio variable in the significant mode is higher in the unsustainable regime than in the sustainable regime,

Most of businesses financinig in the country done by the banking network and banking network play a very important role in achieving macroeconomic goals. Accordingly, in the present study, the effect of fluctuations of asset markets (exchange rate, oil price and stock market index) on financial instability index over a period of 1388-1397 monthly is investigated by using the Markov Switching model. The wavelet transform model is used to extract exchange rate fluctuations, oil prices and stock market index. The results show that the effect of exchange rate fluctuations in different regimes and different time periods is different, so that in the short run the exchange rate fluctuations in the high regime of the financial instability index have a different effect than the other periods. Oil price fluctuations have a positive and significant effect in the medium- and long-term periods and in all regimes, and this effect will be stronger in the long run. Also, fluctuations in the stock market have a negative and significant effect only in the short run and under conditions of low regime of financial instability index. These results show that fluctuations have different effects with respect to time period as well as level of financial instability. Therefore, the management of foreign exchange rate and stock markets should take into the account of financial instability level and the timeframe for fluctuations.

According to the effect of the macroeconomic variables uncertainty range on electricity and gas consumption and its importance in economic growth and development, this article examines the uncertainty of macroeconomic variables (inflation, exchange rate, economic growth, and oil prices) on electricity and gas consumption in the period of 1981-2020.To this end, the volatility and uncertainty of inflation, exchange rate, oil price, and economic growth were initially estimated using the Autoregressive Conditional Heteroscedasticity (ARCH) and Generalized ARCH (GARCH) models, and then the model was estimated using the nonlinear Markov-Switching approach. The estimates of Markov-Switching model revealed that, by considering two optimal lags, the inflation uncertainty, exchange rate, economic growth, and oil price had a significant positive impact on electricity and gas consumption, and the intensity of effective of uncertainty of  macroeconomic variables differed in both regimes, and it was higher in regime I than regime II. Overall, reducing the electricity and gas consumption intensity through macroeconomic variables uncertainty (inflation, exchange rate, economic growth, and oil price) seems more possible in the long run; because the long-term effect of such variables on electricity and gas consumption generally arises from the uncertainty of macroeconomic variables.

In recent years, the effect of financial markets and especially the stock market as one of the factors of financing investment plans and projects are important.The effects of prosperity and recession of these markets on the country's economy are also considered. In the implementation of monetary policy, in fact, the existence of asymmetric effects doubles the need to pay attention to the performance of monetary shocks and accuracy in formulating and implementing policies in any economy. And policymakers in their medium- and long-term planning not only pay attention to macroeconomic goals, including the level of real output and inflation, Asymmetry considers the effects of monetary shocks on real and nominal variables in the economy as endogenous. In other words, it is considered to be influenced by factors such as the size of positive and negative monetary shocks, various inflationary conditions, and the prevalence of recession or boom in the economy.

Interest rates in the Iranian economy are constant over the years, we can not use the Taylor rule to estimate the effects of monetary policy. Therefore, we modeled the monetary policy process by using the McCallum rule of the monetary base as a representative of monetary policy. Then, by extracting monetary shocks, we interpret its effects on the economy. Finally, we used the Markov Dynamic Switching Regression (MSDR) model to estimate the effects of monetary policy shocks on stock prices. The MSDR model enables the rapid evolution of heterogeneous time series in different states. In addition, to determine the dynamic relationship between monetary policy shocks and stock prices, special attention is paid to time-varying parameters in the MSDR model.The application of monetary policy with the instrument of monetary base growth on the variables of output gap, inflation gap, exchange rate changes with quarterly data from 2005 to 2019 and using the  Maccallum Rule is investigated.Then the effect of monetary shocks on the stock price index is analyzed based on the Markov Switching Model.

By using monetary policy with monetary base tools, in the first period, the shock to the monetary base has a positive effect on the monetary base, from the second period to several periods, it has negative effects, and finally, over time, the effects of monetary shock on the positive monetary base and it is very minor.The output gap versus the monetary shock in the first period has a positive effect and the second and third periods have a reverse effect, then a positive and increasing effect, and over time the degree of impact of the output gap becomes little with the application of monetary policy. Inflation has negative and decreasing effects against changes in the monetary base in all periods, which will reach zero over time, and the effects of the monetary base on inflation over time will be very small. By implementing monetary policy with the basic monetary instrument, the exchange rate in the first periods has negative effects. Then it will have a small decreasing trend over time.Therefore, there are effects of monetary policy implementation in the early periods on the variables, and over time, the effects of floating the monetary base on other variables become minor and insignificant.Markov's test of the rotational model confirms that the Iranian stock market has followed a passive stock market relative to changes in the monetary base over the period under study. In the first and second regimes, changes in the output gap increase the stock price index. In both regimes, the output gap coefficients are significant and smaller than one.In regime one, increasing the inflation gap increases the stock price index and is statistically significant. In this regime, the reaction of the Iranian stock market to inflation is high compared to other variables, which indicates that in the recession period, the index against inflation, the index The stock price will also have a positive and increasing response, and shareholders will benefit from this price growth due to the recessionary conditions of the economy, and finally the growth of the stock price index. In regime two, the stock price index decreases as inflation increases. It can be said that if inflation expectations are combined with rumors of prosperity in a certain sector of the economy, shareholders may withdraw their capital from the stock market and invest in another field. Increasing the supply of the total stock price index decreases.The results explain that the dealing of monetary policy and monetary shocks in each time period does not have a consistent behavior and the same effect on the stock price index.The application of monetary policy in a powerful way does not affect the stock price index. The findings also indicate that after one or at most three seasons, a turnaround occurs in the state of Iran's economy. And the period between prosperity and recession and politics is constantly rotating between active and passive. Therefore, according to the results obtained in the Iranian economy, we do not see the stability and long-term sustainability of a prosperity or recession regime.

According to the results obtained in the Iranian economy in the period under review, we do not see the stability and long-term durability of a prosperity or recession regime.

Because of the exchange fluctuations in Iranian economy, the capital market has undergone significant changes. the petroleum products stock index has the largest share in the capital market price index compared to currency industries. the present study tries to investigate the impact of the exchange rate crisis on the petroleum products stock index in Tehran stock exchange by using the monthly data of the period of 2009:1-2020:3 and using the nonlinear Markov switching approach.

 THEORETICAL FRAMEWORK:

Due to the high dependence of foreign exchange reserves on the oil foreign exchange receipts (DEXO) and the sharp decline in these receipts, the central bank has faced limitations in supplying the foreign exchange to the market. thus, reducing the currency resources and supplying the foreign exchange on the one hand, and the growth of the foreign exchange demand on the other hand, have caused the raise in the exchange rate.Economic sanctions have always affected the foreign exchange market, the extent of which depends on the severity of the sanctions. the most important reason for the volatile increase in the exchange rate in recent years is the oil and banking sanctions against our country. economic sanctions will significantly reduce the oil and non-oil exports by restricting the purchasing of the trading partners, and through the channel of declining the foreign exchange earnings will lead to a decrease in the supply of the foreign exchange, and consequently a sharp increase in the exchange rate (devaluation of the national currency). now, we turn to the mechanism of transferring the currency crisis to the stock prices.Changes in the exchange rates can have two different impacts on the stock prices. on the one hand, the increase in the exchange rate (in terms of demand) has led to an increase in the income of the exporting companies (such as refineries, petrochemicals, metals, mining, etc.) and, consequently, their stock prices, and on the other hand (based on the supply), leads to lower profits for the importing companies such as some automotive, pharmaceutical and food industries, as well as the transportation and leads to lower stock prices.In addition to dividends, stock buyers also pay attention to the changes in the company's intrinsic value. the intrinsic value of industries whose creation and operation require the supply of machinery from abroad, is affected by the exchange rate changes. and if a company imports the machinery at lower exchange rates, the intrinsic value of the company will increase as the exchange rate increases, and this intrinsic increase intensifies when the establishment of a similar company is not possible due to the high exchange rate, and if the company's products are produced exclusively, its demand will increase and the company's profit will be higher over time. on the other hand, the share of depreciation cost of machinery in the cost of goods produced by the company decreases. considering the above cases by investors, the demand for the shares of these companies will increase and this will increase the stock prices of these companies. in addition, if the exchange rate decreases over time, it will cause the opposite effect for these companies.

Recently, the use of the nonlinear models in fluctuation studies has expanded because of this assumption that the linearity of the exchange fluctuations is a large and unrealistic limitation for these studies. this pattern is also known as the pattern of the regime change. the regime change means that a policy variable may show a behavior in one period of time and behave differently in another time period. therefore, if this issue is not considered in the study of the behavior of the variable, the biased results will be obtained. markov rotation models, as the nonlinear models, are able to model the behavioral pattern of the changing status of the dependent variable over time. in nonlinear models, it is assumed that the behavior of the variable on which the modeling is performed is differently and changes in different states.For this purpose, among the various modes of Markov switching model, MSIAH (2) –VAR (2) has been selected.

The empirical findings of the study show that only in a regime with high fluctuations (first regime), the exchange rate is the causal relationship of the petroleum products stock index and the increase in the exchange rate has increased the petroleum products stock index, while the petroleum products stock index has no impact on the exchange rate. In addition, the results indicate that the sustainability of the petroleum products stock index in the regime with the low fluctuations (second regime) was more than of the regime with the high fluctuations (first regime).

 CONCLUSIONS & SUGGESTIONS:

Due to the results of the present study, there is a one-way relationship between high exchange rate fluctuations and the stock index of petroleum products. investors active in the stock market, in addition to considering how the stock index of petroleum products is affected by other influential domestic variables, should also consider high exchange rate fluctuations and make their decisions. it is suggested that shareholders, in order to benefit from the growth of the capital market index, as soon as the exchange rate rises sharply, buy shares of companies exporting goods, such as refineries, petrochemicals, metals, mining, etc. also, as soon as the exchange rate falls sharply, sell the shares of the mentioned companies and buy the shares of companies independent of the exchange rate in order not to suffer from the risk of a decrease in the stock index.

The currency crisis is a phenomenon that has been widespread in recent years in Iran's economic and political meetings. Regardless of the political effects of this phenomenon, the occurrence of the currency crisis with increasing uncertainty will lead to undesirable effects on the economic structure of the country. The conversion of assets into foreign currency, capital outflows and the dollarization of the economy is only part of the consequences of the currency crisis. Therefore, in this study, using the quarterly data from spring 2002 to winter 2017 and using the Markov switching model, the currency crisis in Iran has been modeled. Then, based on the estimated coefficients of the model, the Currency Market Pressure Index during the spring of 2018 to the fall of 2021 has been predicted. Evidence from model estimation showed that economic growth, current account balance, capital account balance, real interest rate and long-term foreign debt have a negative effect and budget deficit, risk aversion level, foreign exchange rent and short-term foreign debt have a positive and significant effect on on the likelihood of a currency crisis in Iran. The estimation model also has a relatively good out-of-sample predictions.

Interaction between money market and capital market is one of the important issues in Iran’s economy especially during recent years. One of the instruments of money market is real interest rate by which the Central Bank performs expansionary and contractionary monetary policies. Considering the currents during two recent years in capital market and money market and the effort of monetary investors to reinforce capital market by means of f money market, this study also investigates the effect of monetary policy on the efficiency of stock market. Therefore, Markov-Switching Model and quarterly data of Iran’s economy during 2009q1 to 2021q2 have been used. The results revealed that the efficiency of stock market has reacted to real interest rate in every regime with different degrees and in both regimes there was a negative relationship between real interest rate and the efficiency of stock market which signals investors to reduce efficiency rate of money market or real interest rate to reinforce capital market.

According to the specific characteristics of the economic sectors and sub-sectors of each sector, it is likely that these sectors and their sub-sectors show different response to a monetary shock. The present study has been conducted on how the anticipated and unanticipated monetary shocks affect the growth rate of the industrial sector in terms of symmetry or asymmetry of effects in business and credit cycles. In this study, the effect of the mentioned shocks on the growth rate of the industry is investigated in three models separately (Model in conventional conditions and without economic fluctuations, model with business cycles and model with credit cycles), Using seasonal time series data from 1988 to 2019 and the nonlinear approach of Markov Switching, seemingly unrelated regressions (SUR) and the linear regression method. Based on the results of the SUR technique, in normal economic conditions, the industry and mining sector and its sub-sectors do not react significantly to the anticipated and unanticipated monetary shocks.  Using the regime switching probabilities and business and credit cycles derived from Markov methods MSMAH (2,5,0) and MSM (2) -AR (4), the linear regression results show the asymmetric effect of anticipated and unanticipated monetary shocks in both business and credit cycles. In a way that, in the state of the business  cycles, unanticipated shocks are more effective in expansionary than in recession and in the state of the credit cycles, these shocks have a stronger effect on stimulating production in the conditions of credit slowdowns.

In the present paper we study the effect of oil prices on the financial development index based on the banking network and the stock market for the period 1357-1396 by using the Markov Switching Model. The results show that if the financial development based on the stock market is in a low regime, the increase in oil prices is not a curse for financial development, with no significant effect either positive or negative while if it is  in a high regime, then oil income acts as a curse and reduces the financial development of the stock market. If the financial development index is in the middle regime, the increase in oil prices will not be a curse and will not reduce bank financial development. Also, the variables of trade openness and economic growth have different effects depending on the type of financial development regime. According to the research results, the increase in oil prices and revenues does not always lead to a decrease in the country’s financial development. The impact depends on the stability and speed of financial development.