GLOBAL TECHNOLOGY SPACE IN THE XXI CENTURY: FORMATION OF A BIPOLAR CONFIGURATION

The current study examines the influence of unqualified investors' operations on pricing processes in current conditions of the Russian stock market, to assess the reliability of market efficiency theory in terms of a massive influx of irrational investors (unqualified investors).For the period of 17 th September 2013 to 12 th January 2021 we applied approaches of technical analysis namely: logical inference, selection and grouping information, data analysis, and generalization.To determines the influence of irrational investors' operations on a pricing process in the Russian stock market.The current study proposes using the noise trading model for forecasting prices on the Russian stock market, and to explain the pricing process in the market.Furthermore, this result can be used to analyze trends and behavioral patterns in the Russian stock market.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.34660/inf.2021.25.49.002
Citations
1
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
0.83
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article

GLOBAL TECHNOLOGY SPACE IN THE XXI CENTURY: FORMATION OF A BIPOLAR CONFIGURATION

O.V. Narimanova, N.F.o. Narimanov
1 citations
Economic Development and Digital Transformation
0.83
article

GLOBAL TECHNOLOGY SPACE IN THE XXI CENTURY: FORMATION OF A BIPOLAR CONFIGURATION

O.V. Narimanova, N.F.o. Narimanov
article en
1 citations

Abstract

The current study examines the influence of unqualified investors' operations on pricing processes in current conditions of the Russian stock market, to assess the reliability of market efficiency theory in terms of a massive influx of irrational investors (unqualified investors).For the period of 17 th September 2013 to 12 th January 2021 we applied approaches of technical analysis namely: logical inference, selection and grouping information, data analysis, and generalization.To determines the influence of irrational investors' operations on a pricing process in the Russian stock market.The current study proposes using the noise trading model for forecasting prices on the Russian stock market, and to explain the pricing process in the market.Furthermore, this result can be used to analyze trends and behavioral patterns in the Russian stock market.

Ryazan State Medical University named after Academician I.P. Pavlov (RU), Academy of the Federal Security Service of the Russian Federation (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Economic Development and Digital Transformation
0.83
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