درخت حوزه‌های تخصصی

The use of technology acceptance models is a way to understand the users' attitude towards new technologies. The present study aimed to investigate drivers affecting the customers' behavioral intention to use blockchain capabilities as a financial instrument using a combination of several technology acceptance models to determine what factors encouraged users to use blockchain capabilities as a financial instrument. Therefore, determinants of the behavioral intention to use blockchain capabilities as a financial instrument were first explored by the literature review, and then the structural equation model was built according to this basis. Results of data analysis indicated that the personal propensity to trust and structural assurance beliefs directly affected the initial trust that in turn, affected the users' behavioral intention. On the other hand, task and technology characteristics directly affected the task-technology fit that in turn, affected the users' behavioral intention. Furthermore, the performance expectancy directly affected the users' behavioral intention. Results of the present research indicated that the intention to use blockchain capabilities as financial instrument came from a social need; and users were keen to use blockchain despite some limitations of this technology.

The main objective of this study was to investigate the effect of monetary policy on changes in the price of financial assets (including foreign exchange, gold and stocks) in Iranian economy. In this regard, this paper answers whether monetary policy could lead to regime changes in asset markets. To answer this question, monthly data during the years 1995 to 2017 and a combination of Markov Switching and Probit methods were used. First, using Markov Switching method, each market was divided into two high-volatility and low-volatility regimes with different average returns, and then, by a Probit model, the effect of monetary policy on the probability of markets being exposed to these regimes was studied. The results of this study show that in all three markets, the Markov Switching model offers better fit than the linear model, which indicates the occurrence of regime changes in the markets. The results of the Probit model show that monetary policy in all three markets is effective on their regime changes, and an expansionary monetary policy will strengthen the position of all three markets in the high-volatility regime with a positive average return. Also, inflation is also one of the factors affecting regime changes in all three markets. The market situation in the past period as well as the situation of other markets are among the factors that lead to regime changes in asset markets. The sanctions imposed on Iran's economy in the currency and gold markets are among the factors that have strengthened the likelihood of changing the regime of these two markets to a volatile environment.

In this paper, we dealt with fiscal dominance, which is a situation in which the fiscal authority sets its expenditure and taxes without regard to any requirement of intertemporal budget balance. Therefore, the monetary authority must adjust its policies to ensure that the government budget is in balance. The existence of oil revenues for the government on the one hand and its lack of access to the financial market, on the other hand, are reasons that we can see financial repression and fiscal dominance in the economy of Iran. This paper presents forward-looking estimates of the relationship between the change in the consolidated primary deficit and the change in the monetary base. This study covers the period 1978-2017, and an autoregressive approach is applied. We conclude that using the budget data only, the existence of fiscal dominance cannot be rejected.