Health Economics
Soheil Roudari; Masoud Homayounifar
Abstract
The present study investigates the effect of coronavirus outbreak and exchange rate and oil price variables on the stock market index using Markov Switching model during the period 1398/11/30 – 1399/03/27. The results show that exchange rate growth has no significant effect in the high regime ...
Read More
The present study investigates the effect of coronavirus outbreak and exchange rate and oil price variables on the stock market index using Markov Switching model during the period 1398/11/30 – 1399/03/27. The results show that exchange rate growth has no significant effect in the high regime of the stock market index and has a negative and significant impact in the low and medium regimes. The growth of oil prices has had a negative and significant effect on all stock market index regimes. Also, in the high regime of the stock market index, the prevalence and increase in the coronavirus cases will lead to a decrease in the stock market index, and on the contrary, in the low regime of the stock market index, the prevalence and increase in the coronavirus cases will increase the stock market index. In the high regime of the stock market index, the coronavirus outbreak can lead to a decrease in the stock market index and the outflow of capital from the stock market and transfer to other parallel markets such as currency and housing can occur, and speculation increases.
Monetary economy
Soheil Roudari; Masoud Homayounifar; Mostafa Salimifar
Abstract
In this research, the role of nominal exchange rate volatility and business cycles on the banking nonperforming loans was investigated by using Markov-Switching model during 2005-2018 using seasonal data. Business cycles were extracted from GDP by using the Hodrick Prescott filter. Also, the wavelet ...
Read More
In this research, the role of nominal exchange rate volatility and business cycles on the banking nonperforming loans was investigated by using Markov-Switching model during 2005-2018 using seasonal data. Business cycles were extracted from GDP by using the Hodrick Prescott filter. Also, the wavelet transform model was used to extract nominal exchange rate fluctuations. The results showed that the exchange rate volatility varies in different periods of time and in longer period of time, the foreign exchange rate volatility has a greater negative and significant effect on nonperforming loans of banking network. It shows a dependence of government on banking network. Also, the impact of business cycles depends on the nonperforming loans regime. The sustainability of low regime is bigger than high regime. The results also show that the impact of value added of different sectors of economy varies in different regimes of nonperforming loans. These results indicate that banking system should take into account the value added of different sectors of economy and nonperforming loans regimes which could decrease nonperforming loans.
Azam Ashourzadeh; Mohammad Taher Ahmadi Shadmehri; Masoud Homayounifar
Abstract
This study, by using data envelopment window analysis method examines the efficiency of 9 Iran’s oil refinery over the period of 2008-2013. Results of the study has shown that, during the period of study, only Kermanshah refinery was efficient in four windows and the rest of the refineries have ...
Read More
This study, by using data envelopment window analysis method examines the efficiency of 9 Iran’s oil refinery over the period of 2008-2013. Results of the study has shown that, during the period of study, only Kermanshah refinery was efficient in four windows and the rest of the refineries have experienced a stable trend of inefficiency. The inefficiency of oil refining companies has been mostly due to inefficiency in resource management. Inefficient companies in the field of scale efficiency have had a decreasing return to scale, that can be achieved by reducing the size of the company to the optimal scale. The highest amount of resources wasted in the refineries was related to the refinery's fuel and feed consumption. Isfahan refinery had the highest loss of capacity, fuel and feed consumption, and Abadan refinery had the most labor force wastage.
