title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÑÐµÐ´Ñ Ð¸ ÐµÑ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð½Ð° ÑÑÐ¾Ð¸Ð¼Ð¾ÑÑÐ½ÑÐµ ÐºÑÑÑÑ ÐºÑÐ¸Ð¿ÑÐ¾Ð²Ð°Ð»ÑÑ Ñ ÑÐµÐ»ÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¼ÐµÑ Ð¿Ð¾ ÐºÐ¾ÑÑÐµÐºÑÐ¸ÑÐ¾Ð²ÐºÐµ Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾ÑÑÑÐµÐ»Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Research of the information environment and its impact on the cost rates of cryptocurrencies in order to develop measures to adjust the investment portfolio accordingly
Creators: name: Ð¨Ð°Ð´ÑÐ¾Ð², ÐÐ¸ÑÐ¸Ð»Ð»
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: 2022
Subjects: ÐºÑÐ¸Ð¿ÑÐ¾Ð²Ð°Ð»ÑÑÑ
Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÑÐµÐ´Ð°
Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¸
ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð¸Ð½Ð²ÐµÑÑÐ¸ÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð¿Ð¾ÑÑÑÐµÐ»Ñ
cryptocurrencies
information environment
investments
regression analysis
investment portfolio

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description: The topic of the final qualifying work: "Research of the information environment and its impact on the cost rates of cryptocurrencies in order to develop measures to adjust the investment portfolio accordingly". This work is devoted to the study of the influence of the emotional coloring of the news background on the change in the rate of cryptocurrencies, as well as the creation of a model for predicting the rate of cryptocurrencies. Tasks that were solved in the course of the study: 1. Analysis of the history of the development of the cryptocurrency market, as well as the influence of media personalities on the state of the market. 2. Development of a model for the influence of the news background on the dynamics of changes in cryptocurrency quotes. 3. Analysis of the results obtained during the regression analysis. 4. Development of a set of recommendations and instructions for applying the model in practice. For the analytical and computational part of the graduate work, data from the large Internet exchange Yahoo Finance, as well as a set of news publications obtained by parsing the Google news aggregator, were used. The analysis of emotional coloring was carried out by the method of information processing using the FinBERT library. In addition, a regression analysis was carried out to identify reliable information and quantify the impact of the news background on the studied quote levels. As a result, a number of recommendations were created for the practical application of the model created during the work to minimize investment risks. The example of actions given in the work showed a high level of reliability of forecasts for changes in the cryptocurrency exchange rate, as well as the significance of the results obtained.