title: ÐÐ½Ð°Ð»Ð¸ÑÐ¸ÐºÐ° ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ð² Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ¸
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: Analytics of economic processes by complex-valued economy methods
Creators: name: ÐÐ°ÑÑÐµÐ², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
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: 2019
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
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complex-valued econometrics
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description: Ð¢ÐµÐ¾ÑÐ¸Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÐºÐ¸ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ ÑÐ¾Ð·Ð´Ð°Ð²Ð°ÑÑ ÐºÐ°ÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾ Ð½Ð¾Ð²ÑÐµ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð² Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÐµÑÑÑ Ð·Ð°Ð´Ð°ÑÐ° Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð´Ð¾Ð»Ð³Ð¾ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸ Ð±ÑÐ´ÑÑÐ¸Ñ ÑÐµÐ½ Ð°ÐºÑÐ¸Ð¹ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¹ Ð¾Ñ ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ° â Ð²ÑÑÐ¸ÑÐ»ÑÐµÐ¼Ð¾Ð³Ð¾ ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½ÑÐ° ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸, Ð¿Ð¾Ð»ÑÑÐ°ÐµÐ¼Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐºÑÑÐ¾Ð² Ð¸Ð· ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÐµÐ¹. ÐÐ°Ð½Ð½ÑÐµ ÑÐ¾Ð±Ð¸ÑÐ°Ð»Ð¸ÑÑ Ñ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Twitter Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Big Data ETL-ÑÑÐµÐ½Ð°ÑÐ¸ÐµÐ². ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ Ð½Ð°Ð±Ð¾ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð±ÑÐ»Ð¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿ÑÐµÐ´Ð½Ð°Ð·Ð½Ð°ÑÐµÐ½Ð½ÑÑ Ð´Ð»Ñ ÑÐ°Ð±Ð¾ÑÑ Ñ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸ÑÐ¼Ð¸ Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ. Ð¡ÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½Ñ ÑÐ°ÑÑÑÐ¸ÑÑÐ²Ð°Ð»ÑÑ ÐµÐ¶ÐµÐ´Ð½ÐµÐ²Ð½Ð¾ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð³ÑÐµÐ³Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð¾ÑÐµÐ½Ð¾Ðº Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐ¸Ð¼ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ ÑÐºÐ¾Ð½Ð¾Ð¼ÐµÑÑÐ¸ÐºÐ¸. ÐÐ»Ñ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ°ÑÐ¸Ð¸ Ð½Ð¾Ð²Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ðº ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸Ð·Ð½Ð°ÐºÐ¾Ð², Ð±ÑÐ»Ð° Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð·Ð½Ð°ÑÐ½Ð¾Ð¹ Ð»Ð¸Ð½ÐµÐ¹Ð½Ð¾Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð½Ð° ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¸Ñ ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½ÑÐ°Ñ Ð¸ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÑÑ ÑÐ¾Ð½Ð´Ð¾Ð²ÑÑ ÑÑÐ½ÐºÐ¾Ð². Ð ÐµÐ·ÑÐ»ÑÑÐ°Ñ, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÐ¹ Ð½Ð¾Ð²ÑÐ¼ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð¼, Ð±ÑÐ» ÑÑÐ°Ð²Ð½ÐµÐ½ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼Ð¸ ÑÐµÑÐµÐ½Ð¸ÑÐ¼Ð¸ Ñ ÑÐ¾ÑÐºÐ¸ Ð·ÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸. ÐÐ°ÐºÐ¾Ð½ÐµÑ, Ð¼Ñ Ð´ÐµÐ¼Ð¾Ð½ÑÑÑÐ¸ÑÑÐµÐ¼ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½ÑÐ¹ Ð¿ÑÑÑ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ð½Ð° ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð´Ð»Ñ ÑÐ¾ÑÐ³Ð¾Ð²ÑÑ ÑÑÑÐ°ÑÐµÐ³Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑÐ½Ð¾Ð¹ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¸.
description: Theory of complex-valued econometrics makes it possible to generate qualitatively new features that can be used in machine learning algorithms. Our study reveals the task of determining the long-term dependence of future companiesâ stocks prices on a time-generated feature â a calculated tonality coefficient gained by methods of semantic analysis of texts from social networks. Data was gathered from Twitter platform with the use of Big Data ETL-scenarios. The resulting data sets were used to train machine learning algorithms designed to work with Big Data technologies. A semantic coefficient was calculated on the basics of aggregated estimates for each day, with the further application of the methods of complex-valued econometrics. To demonstrate the new approach of feature generation a complex-valued linear regression model based on the semantic coefficients and stock markets data was constructed. The outcome obtained by new approach was compared to existing solutions in terms of accuracy and. Finally, we demonstrate a possible route for impact in improvements of the existing algorithms for trading strategies using the complex-valued regression.