Abstract: Ensuring investment attractiveness is one of the most important aspects of a country's economic activity in modern international relations. Foreign investments make it possible not only to ensure expanded social reproduction in the country, but also expand the possibilities of technological and economic development of the state.The purpose of the work is to analyze foreign direct investment in the Russian Federation in general and the Republic of Tatarstan in particular. The analysis and evaluation of statistical data revealed a reduction in the number of projects involving foreign direct investment in Russia in 2017-2020. In modern conditions, it is necessary to recognize the decline in the investment attractiveness of Russia from investors in the United States and Europe, which may lead to an even greater compression of foreign investment flows.   An alternative to foreign investments from the United States of America and Europe can be foreign investments from the countries of the Muslim world.
Already today, Russia has friendly relations with the countries of the Muslim world, in addition, there are entire regions with a high density of Muslim population living on the territory of the Russian Federation. Thus, the Republic of Tatarstan, which is already one of the most investment-attractive regions of the Russian Federation and occupies the 3rd place in the list of regions of the Russian Federation most in demand among foreign investors, could play an important role in increasing the number of foreign direct investment.

Abstract: The entrepreneurial activity in the market economy is accompanied by many risks. The subjects of this research is the entrepreneurial risks, nature and scale of which need to be probed, in order to be managed efficiently. The goal of this work is to develop methodology for compiling risk maps that would allow not only quick identification and classification of entrepreneurial risks, but also efficiently manage them. A version for structuring a risk map consists in a “likelihood-loss” matrix, where the magnitude and likelihood of loss is scored and marked in the appropriate line or column within the matrix. The scientific novelty of this research consists in development of a risk management algorithm in entrepreneurial activity based on identification and formation of risk maps that allow undertaking efficient measures to mitigate the consequences of a particular risk. The proposed methodological recommendations, as well as the algorithm for classification, identification and management of risk in production entrepreneurship is approved by the materials of OOO “Prok”, and demonstrated its actuality and effectiveness.