Анализ показателей российского финансового рынка

Abstract

The financial market is a key factor in economic development, an important tool for the redistribution and transformation of investment resources, as well as a litmus test of the state's economic health. The peculiarity of the Russian financial market is its "youth" and "inexperience" in comparison with the markets of developed economies, the path of trial and error, inconsistency in the context of the uniqueness of the financial system of the Russian Federation. This market is particularly vulnerable and volatile in the face of sanctions and global economic turmoil, so it needs competent targeting guidance, effective tools and verified coordination methods and techniques. The fundamental problems of the Russian financial market are quite deep and do not always appear on the surface, which requires an in-depth and permanent tactical and strategic analysis of factors, causes, trends, trends and indicators that can correct the situation in a timely manner in any economic scenario in manual management. The article examines the main features, rallies, features and directions of the development of the financial market of the Russian Federation at the present stage. The analysis of the issuer's statements for 2005–2023, dividend payments for the same period is presented, the dynamics of growth of the segment of mutual funds and exchange-traded mutual funds is considered. A comparative structure of household financial assets in 2017 and 2023 is proposed, the share of different organizational and legal forms of joint-stock companies in the total number of joint-stock companies in 2019–2023, the share of different groups of banks in the value of assets of the Russian banking system in 2000–2023 is given. The final results of the study substantiate the importance of the role of the state as a regulator of the stock market, emphasize its Russian functions, and highlight its conceptual problems. The research is based on the analysis of foreign and Russian publications, as well as on statistical conclusions of financial and statistical data.