محمد بهمنی

American sanctions against Iran are one of the most extensive in terms of variety and extent . The most approved sanctions are unilateral against a country. While unilateral economic sanctions in an extraterritorial manner are considered a violation of the sovereignty of other countries in this regard.This research is done through analytical-descriptive methodGiri has studied the legal analysis of Iran's foreign investment embargo by the United States of America based on reliable research documents and international law jurisprudence. The findings of the research show that the restrictions caused by the unilateral US sanctions against Iran and the increase in investment costs can be considered as a serious obstacle to foreign investment in Iran. However, in 1991, the United Nations General Assembly strongly urged governments to end unilateral pressures. Also in the another one in 1996 called for the removal of such practices under the title "Elimination of economic pressure measures as a means of political and economic coercion".The American side in sanctioning Iran violates the principle of peaceful coexistence among governments, which requires respect for the political principles of international law, i.e. the legal equality of governments, non-interference, cooperation and friendship, respect for the independence and territorial integrity of governments among the members of the international community. This type of actions lacks legal and international validity due to the lack of legitimacy.

Stock market activists are trying to find and apply methods so that they can increase the profit of their capital by predicting the future stock price. Therefore, it seems necessary that appropriate, correct and scientific-base principles methods are used to determine the future price of stocks for investors. Economists use econometric methods for forecasting in most cases. Therefore, the aim of this research was to present a new approach in predicting the types of stock movement trends in water-intensive industries using the decision tree approach. The local domain of this research was the companies listed on the Tehran Stock Exchange active in water-intensive industries and the time do-main was during 2016-2020. In the data section, the research was done by collecting the data of the sample companies by referring to the financial statements, explanatory notes and the stock exchange monthly journal; Based on the systematic elimination method, 72 companies active in water-intensive industries were selected as a statistical sample. In order to describe and summarize the collected data, descriptive and inferential statistics have been used using the decision tree approach; the results showed that by using the decision tree approach, it is possible to predict the profit, industry and stock price trends in water-intensive industries. The results obtained in this research are consistent with the documents mentioned in the theoretical framework of research and financial literature.