درخت حوزه‌های تخصصی

In this research, the impact of clear rumor declarations on the measurement of abnormal stock returns behavior has been investigated in Tehran Stock Market by means of event research so that to reveal well abnormal stock returns behavior. Following testing 169 clear rumor declarations during the period (2017-2019), Using Spss statistical software version 26 and Eviews version 12, the results of regression analysis and correlation tests indicate that content of clear rumor declarations may affect abnormal stock returns behavior. Confirmation of good rumors has increased the efficiency of abnormal stock returns 10 days after the date of the given declaration and approval of bad rumors has led to reducing the efficiency of abnormal stock returns upon declaration day. Similarly, the results showed that if rumors were disclosed during working hours in Tehran Stock Market they would reduce the efficiency of abnormal stock returns on the same day. After comparing the results of the research, the need to educate and promote the shareholding culture among shareholders is felt more than ever before. They also need to shift their focus from focusing on rumors to principled investing in futures stocks to avoid cross-sectional fluctuations, destructive rumors and other market risks and achieve a good return stock

Although the prevalence of COVID-19 pandemic and the worldwide periodic lockdowns, and travel restrictions have heavily damaged tourism destinations, however some theorists believe that the channels and intensity of adverse effects of COVID-19 are not even in different tourism destinations and it may depend on the tourism form that the destination is endowed with. The purpose of this research is to fulfill a comparative survey between two different tourism destinations that enjoy two different tourism forms, including pleasure tourism (Ganjnameh region) and commercial based tourism (Lalejin region) in Iran and try to explore the different complex aspects of COVID-19 effects on tourism industry and compare sustainability of both tourism forms. In order that, we apply Grounded Theory (GT) model and relay on qualitative data gathered by face-to-face interviews with 40 participants who are engaged in tourism related businesses in sample destinations. In according to the results, this study critically derives 4 different aspects of complexity of the situation arisen from corona virus pandemic on tourism sector in Ganjnameh and Lalejin including: resilience strategies and sustainability, change in tourist behavior, change in the tourism industry, and aggravating factors. In addition, the results showed that changes to tourism as a result of COVID-19 is complex and uneven in two different tourist destinations. Moreover, we realized that the economic statues of Ganjnameh region which is widely depend on pleasure tourism is more vulnerable to unexpected tourism crises compared to the Lalegin region, where the economics of a big bulk of habitants depends on commercial tourisms and handicrafts. Therefore, the commercial based touristic destinations looks more resilient and sustainable in comparison to pleasure tourism formed destinations. This study released valuable information about current statues and future concerns about tourism industry and offers suitable policy implications to cope with COVID-19 effects during and after Corona crisis.

In the developed world, capital markets are mentioned as one of the economic growth resources, and the fair distribution of wealth and also increasing per capita income. By attracting the micro capital of the society, while employ micro capitals in production, also generate income for real and legal shareholders. Another positive effects for this market is the absorption of market liquidity ,which is one of the main reasons for inflation in countries.One of the components that always causes the stock market to fluctuate is the price of oil. In countries such as Iran , which are heavily  dependent on oil revenues.Fluctuation in  oil prices and the stock market are more exposd to government interventions.Accordingly, in present study using the monthly data for the years from 2012 to 2019 with the method of Nonlinear Cointegrating Autoregressive Distributed Lag ,has been tried to test asymmetry in effectiveness.Research results show that fluctuation in oil prices ,exchange rate, money supply and consumer price index fluctuation in oil prices ,exchange rate, money supply and consumer price index can be effective among the channels in the stock market.Also, fluctuation in oil prices and asymmetric exchange rate and consumer price index and money supply are reported symmetrically.

Because colonial governments disrupt financial markets to exert political pressure on target countries. For this purpose, in this study, the effects of sanctions on the economic conditions of countries are examined. The criteria (sanctions) examined in this study were placed in international, property, commercial, knowledge, oil, finance and individual groups. These criteria are the sanctions imposed on Iran in the period 1984 to 2020. The method used for analysis is a combination of the Fuzzy Decision Making Trial and Evaluation Laboratory technique and sanctions intensity model. The results of this study indicate that in the introduced model, international sanctions are the most effective. These sanctions are most effective when the sanctioned government is in business. Thus, international sanctions have the greatest impact on the government's trade disputes (Commercial sanctions). International sanctions on a country like Iran, which trades in oil and sells its oil, affect oil sanctions as much as they affect Commercial sanctions, but less on individual sanctions. Finally, the results of the model indicate that the intensity of sanctions was at its peak between 2010 and 2015, with the greatest effect being due to international sanctions.