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INTRODUCTION: Financing flow needed for production sector is allocated from various markets including stock market, therefore, it is expected, any fluctuations in this market effects on output. For this reason, the purpose of this paper is to analyze the relationship between fluctuations in stock market prices and business cycles, using a dynamic stochastic general equilibrium model for Iran economy. In this structure, along with wage income, the households have financial wealth that is effective on the current and future consumption. Moreover, the households divided into two categories: those households that already have accumulated wealth in financial market and are ready to leave the market and those households that has not any activity and accumulated wealth in this market, yet, and are ready to enter the market. METHODOLOGY: at first, seasonal data are extracted from the time series databases of the Central Bank. Then, using Eviews software, the mentioned data are seasonally adjusted. In the following, in order to extract the cycle of the variables, at first, the long-term trend of the variables is extracted from the deseasonalized variables using the Hedrick- Prescott filter, and in the next step, the cycle of the variables is extracted using the logarithmic difference method. Finally, the cyclical data will be used for the required data. at this stage, the system of linear equations is entered into the Diner software, and then the structural parameters of the model are estimated using the Bayesian method and the data prepared in the previous stage. Finally, using the estimated model and Bayesian inference, we will investigate the role of price bubble on Iran's business cycles and the fluctuation of other macroeconomic variables. FINDINGS: Based on the model estimation results, the replacement rate among households in the capital market is estimated between 6% and 23%, which indicates the effective time horizon of 1.06 to 1.3 years of households' presence in the country's capital market. Also, according to the specified model, the central bank does not react to the fluctuations of the capital market. The estimation results show that a positive stock price shock leads to an increase in production and economic growth, as a result of which the production gap has become somewhat positive. According to the consumption habit hypothesis in the model, the maximum reaction of the production gap to this shock is a few periods after its occurrence. With the increase in economic growth and the improvement of production compared to the potential level, the inflation rate will find a decreasing trend. Therefore, with the occurrence of a positive stock price shock, the inflation rate will have a downward trend and production will have an upward trend, which will increase it compared to the long-term potential level. Therefore, it can be said that the formation of price bubbles in the Iranian stock market has positive effects on business cycles. But it should be kept in mind that although the price bubble can have positive effects on production and economic growth in some periods of time, because these bubbles are considered non-basic factors of the economy, they cannot be considered as a stable and continuous long-term factor. Also, the existence of a bubble in the prices shows that at some point in the future, the prices will break, and in this case, the fear of economic stagnation and a decrease in the level of economic activities is not far from expected. CONCLUSION: The structural parameters of model is estimated using Bayesian method and data during 1383 - 1399, where we derive three important implications: firstly, data meaningfully reveals that stock prices are effective on real sector and business cycles. Secondly, the assumption of no-reaction of central bank to economic volatilities such as stock market, output and inflation is verified. Thirdly, the model endogenously includes a variable related to financial slackness, where is the stock price gap and is used in order to improving measuring model dynamics. This variable is capable to depict volatilities in stock market. At last, the results from simulations show that volatilities in stock market prices have positive effect on output and business cycles in Iran. [ABSTRACT FROM AUTHOR]

With regard to the role of fiscal policy in reducing the financial crises, determining the magnitude of the fiscal policy multiplier after the 2007-2008 global crisis became one of the most challenging issues in the field of fiscal policy. In general, the magnitude of the fiscal policy multiplier is estimated larger than one according to the Keynesian viewpoint and smaller than one based on neoclassical viewpoint. The difference in the magnitude of the multiplier comes from the fact that economists believe that the fiscal policy multiplier is influenced by the degree of economic openness, the exchange rate regime, the way monetary policy is applied and the business cycle. Differences about the magnitude of the fiscal policy multiplier among schools of economic thought are evident in both theoretical and empirical dimensions. In this regard, this paper tries to estimate fiscal policy multiplier using structural vector autoregressive model (Blanchard and Peroti, 2002 method and Markov switching approach (Hall, 2009) using the seasonal data for Iran during the period (1990: 1-2017:3). The results of the structural vector autoregressive model showed that the instantaneous multiplier, 10-quarter cumulative multiplier, and the 20-quarter cumulative multiplier of the government expenditure were equal to 0.281, 0.304, and 0.445, respectively. In addition, the corresponding multipliers for taxes were -0. 079, - 0.107 and - 0.171, respectively. Since the fiscal policy multiplier varies based on the economic conditions, the results of the nonlinear Markov switching model showed that the government expenditure multiplier during the recession is 0.828 and it is larger than the same coefficient during the boom period (0.108), on one hand. On the other hand, the tax multiplier during the boom period (-0.194) is larger than its value during the period of recession (-0.092 ).

This paper investigates the threshold effects of business cycles on earnings quality for the period of 2005 to 2015, using Panel Smooth Transition Regression (PSTR) model as one of the most prominent regime-switching models. For this end, accruals quality and earnings smoothing are used as measures of earnings quality, and sales growth as transition variable. The linearity test results indicate nonlinear relationship among variables under consideration. Moreover, considering one transition function and one threshold parameter, as a two regime model, is sufficient to specification the nonlinear relationship among variables. The results indicate that in the first regime, business cycles have a negative impact on both earnings smoothing and accruals quality, and beyond threshold value, in the second regime, the impact of business cycles is positive. Therefore business cycles have played an important role on the earnings quality.

The recent economic recession has led to re-focusing on working capital management policies in firms. This paper examines the importance of business cycles on the relationship between working capital and profitability of firms. To proceed, we tested the hypotheses in a sample of 120 firms listed in the Tehran Stock Exchange in the period 1999-2012, using multivariate regression model. The results showed that there is negative relationship between cash conversion cycle and profitability of the firms. Also, it was found that the impact of business cycles on the relationship between working capital and profitability during recession periods is relatively higher, compared with boom periods. Additionally, the results indicated that the impacts of inventory management, and receivables conversion period as well as debt paying period (as the three components of cash conversion cycle) on profitability increase in recession period.

In this paper by using a dynamic stochastic general equilibrium model we study how macroeconomic variables are affected by different shocks using fiscal reaction functions for Iran’s economy. For this purpose we compare the results of a real business cycles model in a baseline scenario, in which the government does not follow any specific reaction to the shocks and alternatives in which the government reacts counter and pro cyclically to the shocks. Results of the simulations indicate that when the government follows backward looking fiscal rules the deviation of the variables from steady state increases. In other words, in a real business cycle model for the Iranian economy, we show that the consequence of the government’s intervention in the economy is economic instability in Iran.

There are two approaches for timing business cycles, namely "growth cycle" and "classical cycle". Though different, these approaches are complementary. This paper studies business cycles timing in 10 OPEC members[1] based on Markov Switching Model, introduced by Hamilton (1989). The results show that after Qatar, Iran suffered the least probability of recession and enjoyed the highest probability of boom. Iran's economic growth among 10 countries however has been the ninth, putting it just above Nigeria. [1]. The OPEC member's studies here are: Iran, Ecuador, Saudi Arabia, Kuwait, United Emirates Arabia, Libya, Nigeria, Qatar, Venezuela and Algeria. These were no data available on Iraq and Angola.

Since the advent of early business cycles theories based on self-sustaining behaviors, many theories and models have been suggested to explain causes of cyclical fluctuations. Although in the 1960s, with the acceptance of Keynesian ideas there was a less interest to identifying the sources of disturbances, today the debate over the sources and propagation of economic fluctuations still rages among macroeconomists. This paper uses a multisectoral business cycles model for identifyingication the role and importance of aggregate and sectoral shocks in business cycles of the Iranian manufacturing sectors. Aggregate shocks involve innovations in oil revenues, money supply, government expenditures, and real exchange rate, and productivity shocks are connsidered as sectoral shocks. Our results indicate that all types of shocks are important, but aggregate shocks are the dominant source of sectoral output fluctuations. Variance decomposition of the manufacturing output growth indicates that 85.4 percent of aggregate output disturbances can be explained by aggregate shocks. Therefore, macroeconomic policies inconsistent with industrial development requirements could disturb endogenous growth of the Iranian manufacturing sectors via weak total factor productivity. At the presence of the exogenous impulses, while aggregate shocks are significant sources of output fluctuations, it seems disturbances are threatening the long run economic and industrial growth, even in the oil boom periods.

This paper has decomposed, statistically, the real GDP of Iran into three components, long run trend, business cycles and short-run shocks. This is devoted to the empirical measurement, identification and causes of the business cycles. It also estimates GDP growth on the basis of estimated trend, business cycle and irregular component.The methodology consists of three steps: The first, to dissect the real GDP to get its components, the second, empirical investigation of the business cycles which involve identification and causes, and the third, to predict the components into future. First is assumed that annual series of real GDP is an aggregate of three components including trend, cyclical movements and irregular movements. The HP filter is used in two stages to separate these components; a) to extract the long run trend from the original series and b) to filter out cycles from the rest. Second, the main macro variables are tested in terms of co movement volatility. And finally, the trend and cycles into future over a five-year period are estimated using ARIMA.It is found that the trend growth of real GDP is negative, during the periods of 1356-61 and 1364-67 Iranian years. The results also show that the economy of Iran has undergone seven complete business cycles, and it is now facing the recessionary phase of an eight business cycle, which has begun in the early 1380. It is projected that the current recession will continue until 1383 (2004), and then recovery will take place.It is also found that the Iranian economy is cyclical in a BC sense.Statistically, the results show that the GDP cycles last, on average, 6 years.We also showed the existence of co movement between GDP and the most relevant macro variables. In other words, the main aggregates are also cyclical and their peaks and troughs occur at more or less the same quarters as the GDP.Finally, the results indicate that investment and exports have an active role in generating cycles. Most major finding is that the Iran BCs are caused by shifts in oil revenues. The evidence shows that this variable composes all the characteristics of the typical causes and leads the GDP movements.

This study investigates the relationship between PE and macroeconomic variables. In this paper, 21 macroeconomic variables are selected with decomposition to nominal and real variables. Also for detrending, trend variable is entered in model as an independent variable and multiple regression and factorial analysis are used for surveying research hypothesis. The multiple regression analysis result indicates that there is strict correlation between selected variables. However, it is confirmed the relationship between the independent variables and dependent variable (PE) by using factorial analysis and major component method.