title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð·Ð½Ð°Ð½Ð¸Ð¹ Ð¿ÑÐ¸ Ð¾ÑÑÑÐµÑÑÐ²Ð»ÐµÐ½Ð¸Ð¸ ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð¸ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ð¸ Ð½Ð°ÑÑÑÐµÐ½Ð¸Ð¹, ÑÐ²ÑÐ·Ð°Ð½Ð½ÑÑ Ñ Ð´ÐµÑÑÐµÐ»ÑÐ½Ð¾ÑÑÑÑ ÑÑÐ±ÑÐµÐºÑÐ¾Ð² ÑÑÐ½ÐºÐ° ÐºÐ¾Ð»Ð»ÐµÐºÑÐ¸Ð²Ð½ÑÑ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: The use of special economic knowledge in the implementation of control and detection of violations related to the activities of the subjects of the collective investment market
Creators: name: ÐÐ³Ð¾ÑÐ¸Ð½Ð°, ÐÐºÐ°ÑÐµÑÐ¸Ð½Ð°
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: 2023
Subjects: ÑÑÐ½Ð¾Ðº ÐºÐ¾Ð»Ð»ÐµÐºÑÐ¸Ð²Ð½ÑÑ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¹
Ð¿Ð°ÐµÐ²ÑÐµ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¾Ð½Ð´Ñ
ÐÐ°Ð½Ðº Ð Ð¾ÑÑÐ¸Ð¸
ÑÐ¿ÑÐ°Ð²Ð»ÑÑÑÐ¸Ðµ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸
ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½ÑÐµ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ðµ Ð·Ð½Ð°Ð½Ð¸Ñ
collective investment market
multiple investment funds
Bank of Russia
management companies
special economic knowledge

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description: The purpose of the work is to identify trends in the collective investment market, review and analyze the existing methodology for implementing measures aimed at exercising current control and identifying violations, assessing the performance of the authorized structural unit and suggesting recommendations for improving performance. The following tasks were solved: - the fundamentals of the collective investment market in Russia are considered, taking into account modern trends; - reviewed RCTs in foreign jurisdictions, conduct a comparative analysis in domestic counterparts; - trends in the development of RCTs have been identified; - highlighted the main violations related to activities in the market of collective investments; - reviewed the existing methodology and apply it; - identified weaknesses in the activities of the structural unit and developed recommendations. In the course of work on the Graduate work, student Igoshina E.E. demonstrated skills in MS Excel software for statistical data analysis.