EXPERIMENTAL APPROBATION OF NEURO DIDACTIC TECHNOLOGY OF DISTANCE LEARNING OF STUDENTS AT THE ASCERTAINING STAGE

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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Published
2024-12-12
DOI
https://doi.org/10.34660/inf.2021.72.34.027
Primary Topic
Neuroscience, Education and Cognitive Function
Type
article
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article

EXPERIMENTAL APPROBATION OF NEURO DIDACTIC TECHNOLOGY OF DISTANCE LEARNING OF STUDENTS AT THE ASCERTAINING STAGE

A. A. Alexeeva, V.V. Lezina, M.A. Gaituquiev, M.B. Gaisanov et al.
Neuroscience, Education and Cognitive Function
article

EXPERIMENTAL APPROBATION OF NEURO DIDACTIC TECHNOLOGY OF DISTANCE LEARNING OF STUDENTS AT THE ASCERTAINING STAGE

A. A. Alexeeva, V.V. Lezina, M.A. Gaituquiev, M.B. Gaisanov, A.K. Saynaroeva
article en

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.

Ingush State University (RU), Pyatigorsk State University (RU)
Quality Education
Openalex Percentile: Top 76%
Neuroscience, Education and Cognitive Function
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