title: ÐÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ ÑÑÐ½ÐºÐ° Ð¿ÑÐ¸ÑÐ¾Ð´Ð½Ð¾Ð³Ð¾ ÑÑÐ°Ð½Ð°: ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¸ ÑÑÐµÐ½Ð°ÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Prospects for the development of the natural uranium market: econometric analysis and scenario modeling
Creators: name: Ð£Ð²Ð°ÑÐ¾Ð²Ð°, ÐÐ¸ÐºÑÐ¾ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÑÐ½Ð¾Ðº ÑÑÐ°Ð½Ð°
Ð°ÑÐ¾Ð¼Ð½Ð°Ñ ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÐºÐ°
Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð² ÑÑÐ°Ð½
ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
ÑÐ¸ÑÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
the uranium market
nuclear power industry
investing in uranium
econometric analysis
situational modeling

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description: The aim of the work is to develop an algorithm for evaluating the investment attractiveness of uranium as an exchange commodity. The research set the following goals: 1. Technological and structural features of modern reactors have been identified and ideas about current trends in the energy industry have been formed as a result. 2. The features of the uranium market were characterized and an analysis of its current state was carried out. 3. The factors that can influence the formation of the cost of uranium have been studied, on the basis of which an array of data for the analysis of dependencies has been formed. 4. An algorithm has been developed for analyzing the properties of the investment attractiveness of energy assets based on the concept of event modeling. 5. The investment attractiveness of investments in fuel assets is analyzed using the example of uranium, oil and gas through a generated algorithm. The relevance of the topic is due to the lack of accessible and modern approaches to assessing the investment attractiveness of uranium, which creates difficulties in choosing a potential industry for investment. The investment attractiveness assessment strategy will allow assessing possible risks and choosing the area that is most likely to bring profit, The sources of information were data from domestic and foreign scientific research literature, official Internet resources and analytical agencies. Data analysis and processing were carried out using automated Python tools in the Google Colab software development and execution environment. An algorithm for analyzing the properties of the investment attractiveness of energy assets based on the concept of event modeling is proposed and formed in the form of a flowchart, which can be applied by investors in order to identify promising areas for financial investments in any asset or industry.