عباس نجفی زاده

Two main issues occurring in the economy and largely affecting stock prices are uncertainties and asymmetric information which are influenced by many factors, and along these factors, affect the stock prices. In this study, using Cox, Ingersoll & Ross (CIR) model, we tried to investigate the relationship between theoretical price and stock price under the conditions of uncertainty and asymmetric information. Then, using the GLS panel method, the stock price relationship with these variables and the factors related to the firm performance, economic factors and industrial factors were investigated in Tehran stock exchange. The results indicated that a large part of stock price changes can be explained by two variables of uncertainty and asymmetric information, while other factors had significant effects on stock prices. The difference was that the factors related to the firm's performance and industry index had a positive effect and the macro-economic factors had a negative effect on stock prices. Finally, according to CIR model, asymmetric information and uncertainty in market ‎lead to delays in stock price adjustment, which can affect quality of corporate ‎governance principles‏.

The purpose of this paper is to examine the asymmetric effects of banking sector and stock market development on economic growth in Iran. For this purpose, Smooth Transition Regression (STR) model used based on seasonal time series data during 1989-2017. The results indicate that the impact of financial and banking development indices on economic growth is different for economic growth rates above and below 6%. Therefore, if the economic growth rate is higher than 6%, then we have a regression and when economic growth is lower than 6% will have another regression in order to effect of financial development of economic growth. In addition, results show that that the relationship between private sector credit and economic growth is much stronger than the relationship between stock market and economic growth.

In this research, non-linear inflationary dynamics based on the concept of missing money is studied using the threshold autoregressive models based on seasonal data of the time interval (1990:04-2016:07) for the economy of Iran. The finding of the research shows that simple and Divisia liquidity growth variables are determined as threshold variables, and inflation reacts to changes in the growth of money through a three-regime process. The variables of simple liquidity growth, Divisia liquidity growth with a time lag and inflation expectations are the most critical factors influencing inflation. In both clarifications, GDP has anti-inflationary effects. In both models, the exchange rate has a stronger and positive impact on inflation than other policies under expansionary monetary policy conditions. The simple liquidity growth variable in the low monetary growth policy, due to the stimulation of economic activities shows anti-inflationary effects, and in the medium-term monetary growth, the policy explains the expected inflationary effects. Lagged Divisia liquidity growth in these policies always shows visible inflationary effects. It seems that the use of Divisia liquidity variable instead of a simple liquidity variable explains the non-linear behavior of inflation in a more satisfactory way.