STRESS-INDUCED HYPERGLYCEMIA AS A PREDICTOR OF THE DEVELOPMENT OF POST-STROKE SEIZURES

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.2021.95.82.019
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
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article

STRESS-INDUCED HYPERGLYCEMIA AS A PREDICTOR OF THE DEVELOPMENT OF POST-STROKE SEIZURES

Marina Grigolashvili, E.M. Zhuanysheva, R.M. Mustafina, S.M. Gazalieva et al.
Stroke Rehabilitation and Recovery
article

STRESS-INDUCED HYPERGLYCEMIA AS A PREDICTOR OF THE DEVELOPMENT OF POST-STROKE SEIZURES

Marina Grigolashvili, E.M. Zhuanysheva, R.M. Mustafina, S.M. Gazalieva, M.N. Yugai
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.

University of Kara (TG), Karaganda Medical University (KZ)
Openalex Percentile: Top 72%
Stroke Rehabilitation and Recovery
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