Granger causality test

this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. One of the methods to study the designed causal relationshipsobjectively is Granger causality test. This paper aims to investigate the longtermcausal relationship between the stock price and dividends. The statisticalpopulation includes 180 active companies in Stock Exchange of Tehran during2010-2014. In order to analyze the achieved data statistically, the used specifiedmodel has been the regression model using the econometric data panel techniquesand to test the research hypotheses and find the specific relationships among thevariables, the descriptive-inferential statistics and Eviews software were used.Results indicated that the stock price is not due to the dividends; however, thedividends are the Granger causality of stock price. Also, the type of industry, firmgrowth index, and systematic risk index are of impact on the relationships betweenthe stock price and dividends.

This paper investigates the endogenous money supply hypothesis in Iran. To this end, we attempt to find causality directions between bank credits and money aggregates. Utilizing Diks and Panchenko’s (2006) nonparametric Granger causality test for the time series data over the period 2006:04-2018:12 confirms the existence of a significant causality running from bank credits to money aggregates. These results indicate that money supply in Iran is demand-determined, which is in line with Post-Keynesians’ money supply endogenous theory. In this case, following the interest rate targeting rather than the monetary aggregate targeting approach and therefore, applying open market operation is necessary.

The soundness and efficiency of banks is one of the important subjects that neglecting it can have adverse consequences for every country's economy. For economies depending on the money market, such as the Iran economy, this subject is more critical. Therefore, in this study, using panel data related to 16 Iranian banks for the annual period of 2010-2017, the economic efficiency was determined using a translog cost function and stochastic frontier analysis method then, by estimating the model of panel vector autoregression model and Granger causality test, the causal relationships between efficiency and information asymmetry in terms of adverse selection ( the ratio of loans to assets and the ratio of loans to deposits) and moral hazard ( the ratio of non-performing loans), were investigated, both of which are caused due to the information asymmetry. The estimations confirm the unilateral causal relationship of adverse selection and moral hazard with banking system efficiency. And, on the contrary, they claim that low efficiency of the banking system increases the adverse selection and moral hazard is not confirmed. Besides, the results of other estimates based on the panel model with random effects indicate a negative and significant impact of moral hazard and adverse selection on efficiency.